Let's open our Bibles together to the Gospel of John. We're in John chapter 16. We're gonna continue our series here in John's Gospel by looking at verses 25 through 33. And as already has been mentioned, we welcome you who are online. It's good to have you with us. And hopefully one day you'll be able to be back with us. And we realize there are a number of states and even other nations that are tuning in right now. And we welcome you also. Today we're gonna be looking at chapter 16. Let me begin a reading at verse 25. And I'll read to the conclusion to verse 33. And we'll get into our study. So beginning at John chapter 16, verse 25. Jesus said, these things I have spoken to you in figurative language. But the time is coming when I will no longer speak to you in figurative language. But I will tell you plainly about the Father. In that day you will ask in my name and I do not say to you that I shall pray the Father for you, for the Father himself loves you because you've loved me. And have believed that I came forth from God. I came forth from the Father and have come into the world. Again, I leave the world and go to the Father. As the disciples said to him, see, now you are speaking plainly and using no figure of speech. Now we are sure that you know all things and have no need that anyone should question you. By this we believe that you came forth from God. Jesus answered them. Do you now believe? Indeed the hour is coming, yes, has now come that you will be scattered each to his own and will leave me alone. And yet I'm not alone because the Father's with me. These things I have spoken to you that in me you may have peace in the world. You will have tribulation, but be a good share. I have overcome the world. There's one of those promises that you can put in your promise box. In the world you're gonna have tribulation. I wonder how many of us would be rejoicing in the morning when we pull out our promises from our verses of promises. In the words you're gonna have tribulation and say, oh my goodness, you know, I got the wrong promise. This is for my wife. Why am I looking at this? But we'll be looking at that today. We're gonna be looking at this passage. And so let's begin. Let me give you a bit of a context in order that we might be able to see these scriptures and understand what Jesus is saying. We know that this teaching takes place in the last night that Jesus is going to be with his disciples. And on that last night, he's been sharing with them things that related to events that were soon to occur. And he begins here by saying these things I have spoken to you. Notice these things I have spoken to you in figurative language. Now when you go through your Bible, you're gonna note that Jesus very often used what we call figurative speech. Sometimes he would tell a story.  He would use these images. He would use these figures to convey truth to his followers. It's interesting when you read your Bible, very often as you're reading it, especially the New Testament, especially the words of Christ, it's interesting that when you look to see how many sermons he actually gave. Sermons that when you look at the passage, you know that this is a preaching. For example, the sermon on the mount. Or when you see the sermon that's very similar to it, but is referred to as the sermon on the plane or when you see him giving different teachings that he gives related to doctrine, it's really not that often that you see him doing that. You see him very often though using illustrations. Because by the using of figures, by the using of illustrations, you're connecting with the people in a different way. Yes, you give doctrine. Yes, you give essential truths and Jesus did that. But very often in his teaching, he would speak to them and give them a story. And a lot of preachers have learned that. A lot of the teachers of the word have learned that. You give doctrine, give doctrine, give doctrine. And then sometimes you break to a story. A lot of preachers have discovered that because as we give doctrine, it is something that the mind is beginning to receive, then you use a story to illustrate it. And Jesus is speaking here and he uses figurative speech very often. And that's why he's saying these things I've spoken to you in figurative speech and illustrations. And the things he's talking about are things that are recent, just things he was saying just that night. Remember when, for example, when we were in John chapter 15, remember how Jesus in that chapter used an illustration of a vine and a vine dresser. In chapter 16, verse 16, he said a little while and you will not see me again a little while and you will see me because I go to the Father. He was using an illustrative speech and what that was doing was causing them to question and to wonder what he was speaking of. In the same chapter again in verse 21, he spoke of a woman in labor and so he uses illustrations very often. Now these were things that would cause him confusion and this is what made them want some answers. Remember in verse 18 of chapter 16, they said therefore what is this he says a little while, we don't know what he's saying. So he's been using illustrations, he's been teaching them in that way but now they want him to speak plainly to them and here he begins to do so. Now he doesn't intend to confuse, he intends to instruct. And the mysterious things that he's been saying are actually what would be called advanced teaching. He's giving them what is called spiritual meat. As a believer you get saved and God will feed you his word and it's called milk. It's the milk of the word. And as you mature in the things of the Lord, there are other words to describe deeper things. So the elemental things, the basic things are called milk but the deeper things are called the meat of the word. And so what Jesus is about to do here is give what is called the meat of the word or deeper things. He's giving them advanced teaching, spiritual meat. It just doesn't dawn on them. It reminds me of what you read in the writings of the apostle Paul in 1 Corinthians chapter three, verse two, when he said it like this, he said I gave you milk, not solid food. I gave you milk, not meat. For you were not yet ready for it. Indeed, you are still not ready.  You give them milk. Why, because they're not ready for meat. Well, there's a spiritual truth to that also because you have to advance from the milk to get to the meat. And these men have been with Christ for three years and he's giving them more advanced teaching because they're getting and now ready for the things that he has to share with them. When you read the book of Hebrews in chapter five, verse 13 and 14, the writer says, anyone who lives on milk being still an infant is not acquainted with the teaching about righteousness. Solid food is for the mature who by contrast use have trained themselves to distinguish good. By constant use have trained themselves to distinguish good from evil. And so he's giving them the meat of the word. And so he says, verse 25, the time is coming when I'll no longer speak to you in figurative language. I will tell you plainly about the father. So he wants to communicate substance. He wants them to grow up. By the way, that's the desire of every teacher of God's word is for the church for us all to continue to grow. It's the desire of every teacher of the word of God for those who attend Bible studies and our followers of Christ who are part of the church, are members of the church. We want our people to grow. The Bible says in 1 Peter chapter two, verse two, as a newborn babes desire the pure milk of the word that you may grow thereby. You see some seem to be content remaining immature in faith. Through a lack of hunger for the Lord, they remain undeveloped as believers. One of the ways that my wife and I knew that our children were not doing well, were not feeling well is when they lost their appetite.  But when they weren't well or hungry, we knew there was something wrong. It's true also in your spiritual life. When you have no hunger for the things of the Lord, no hunger for His word, there's really something wrong with your spiritual life because life demands feeding. And so every pastor wants to see the church mature beyond the basics, the rudimentary things and wants to see that the members of that church have a spiritual hunger because some simply are content to remain immature. But Jesus desires to give them meat because He wants them to grow in their understanding. And He desires to communicate deeper truth. But He's also aware of their limitations. You see, they're not yet ready for the deeper things that one day they will understand. You see, the Holy Spirit is going to be sent to them that they may understand His speech. And in that day, they're going to understand the deep things of the Lord. They're going to understand within their spirit the things that He taught them. Remember He had said in chapter 16, verse 12 and 13, He had said, I still have many things to say to you but you cannot bear them now. But He went on to say, however, when the Spirit of truth has come, He will guide you into all truth for He will not speak on His own authority, but whatever He hears, He will speak and He will tell you things to come. And so Jesus knew that there would be a time coming and it was soon the Spirit would arrive, it would baptize them. They were going to grow and understand Him and understand the deeper things of the Lord and He was looking forward to that. And He says in verse 26, in that day, you'll ask in my name and I do not say that you, say to you that I shall pray the Father for you. So in that day, after His resurrection, after His ascension, they're going to begin to pray as He has taught them to. They're going to learn to approach the throne of God through Jesus Christ and they're going to pray in His name. They're going to be submitted to His will. They're going to pray as the Spirit leads them and the Spirit will lead them to pray according to His will. And that's going to give them confidence that what they pray for, they're going to receive. Remember He had said in verse 24 of this chapter until now, you've asked nothing in my name, ask and you will receive that your joy may be full and the Holy Spirit is filling you and moving within you and you're praying according to my will, you're going to have a confidence that God is going to answer your prayer. You're going to have that sense, you're going to pray in His name, the Spirit will lead you. Now asking in Jesus' name, I said this to you recently, I'll just repeat it briefly, is not some way to enlist His support to get what we want. There are people sometimes who will say things and they'll say in the name of Jesus as if that's magic formula to get what you want. Asking in His name is praying on the basis of the work He performed for our salvation. Asking in His name is recognizing who He is and what He has done. And asking in His name is speaking of His authority, we speak according to His authority and so Lord, Father in Jesus' name I ask you this, based on the merits of your son, based on the work that He has done, based on His word that He's given to me, based on the Holy Spirit that has inspired and empowered me, based on these things, knowing what He has given to me, knowing His word, I pray according to your will and I do so in the name of Jesus Christ. Now notice in verse 26, He says, I do not say to you that I shall pray the Father for you. Now He's not saying that He will never intercede with the Father on their behalf because that's part of what the Bible refers to as His priestly role. When you read the book of Hebrews in chapter four, verses 14 through 16, the writer says, seeing then that we have a great high priest who has passed from the heavens, Jesus, the Son of God, let us hold fast our confession, for we do not have a high priest who cannot sympathize with our weaknesses, but was in all points tempted as we are, yet without sin, let us therefore come boldly to the throne of grace that we may obtain mercy and find grace to help in time of need. Jesus acts as our mediator, Jesus is our high priest, we go to God through Him. That's why it says in Hebrews 7.25 that He's able to save to the uttermost those who come to God through Him since He always lives to make intercession for them. And so what is He doing here? And I'm laying foundations for you as we get into our study. Well, as He is speaking, He's giving them a clear understanding of who God is. They may think that He, Jesus, has to persuade the Father to answer their prayers. They may think that Jesus is more loving and merciful than God the Father, but that's not true. God is open and willing to hear their prayers. This He makes sure they understand with the following words. Notice verse 27, for the Father Himself loves you because you're so cute. No, for the Father Himself loves you because you have loved me and have believed that I came forth from God. God loves you because you love me. We love the Son and the Father loves us. I don't wanna minimize this with a human illustration, but I'm going to. Maybe, I wonder how many parents I have in here who would agree with what I'm about to say. If you don't agree, that's okay. Just close your eyes. I've discovered something. I've discovered something very basic and very simple. I've discovered that if you love my kid, I'll love you. You love my kid? I'm gonna love you. Why? Because I love my kid.  I'm gonna love you because you love my child. That's gonna draw my heart to you because what is dear to me is dear to you. And because my son or my daughter is dear to me and you show appreciation for them and you love them. I'm gonna love you too. I cannot help but think that what Jesus is saying has similarity to that. The Father loves you. Why? He just said it. Because you love me. You love me. And because you love me. That's what draws his love to you.  Now, he doesn't love your sin. There are a lot of people who think that he loves them sin and all. No, he hates the sin. We need to always remember that.  Isn't that sweet? No, he doesn't do that. He hates sin.  He hates it that much. A lot of times as we sing our songs, we speak about the amazing love of God. Now that God so loved us that he sent his son, Jesus Christ. And it's a demonstration of the great love God has for as he demonstrated his love toward us. Paul says that while we were yet sinners, Christ died for us. Love is demonstrated. God demonstrated it. Though I was still hostile, I was in opposition. I was still in sin. Well, he sinned his son and Jesus Christ died for me. So yes, the love of God is what provoked him to send his son so that he might ransom, that he might redeem us. So love took Jesus to the cross.  The nails didn't keep him on that cross. God's love did. But it wasn't just love that we see on the cross. We also see justice because God hates sin and sin makes separation. And because sin makes separation between you and God, God did something about it. Because if he did not send his son to die in a cross to pay the penalty for your sin, then you will pay the penalty yourself. So the love of God is what provokes him to send his son. The justice of God plays him on a cross. And so love and justice combined are demonstrated there on that cross. And when you have an appreciation for the love God has for you, demonstrated by the death of his son, and when you fall in love with Jesus Christ, who gave his life for you, that causes the father to love you too. Because you understood why he sent his son. And so Jesus is making it very simple and very clear. Father loves you, he said in verse 27, because you've loved me and have believed that I came forth from God. He loves you because you have loved me. In John 14, 23, Jesus answered and said to him, if anyone loves me, he'll keep my word and my father will love him. And we will come to him and make our home with him. So the ability to understand and receive the love of the Father is based on knowing Jesus because Jesus revealed the Father to us. He's saying, because of your relationship with me, God loves you. Interesting that he chooses here to use the Greek word phileo. For those of you who might be interested, there are different Greek words that you find in scripture that are translated by the single word love in English. And one of the words that it's used to be translated for love is the Greek word phileo. It speaks of a friendship love, a companion love. The love that God has for us is also described as agape for us. So God has an agape love, but he also has a phileo love. And so when he's speaking concerning this love, he's saying that God will love you in a deep and personal and even a friendly way. And it's their love for Jesus that wins the Father's love for them. And God loves him. And he doesn't have to have his arm twisted to bless them. My daughter Anna went yesterday to buy me a cup of coffee because my wife neglected me. And so Anna came into my room and she said, Dad, would you like a cup of coffee? And I said, you know, I would.  And so I took out my wallet. I don't expect her to buy me coffee. And I gave her some money. I said, get yourself something if you want because you're going to buy me coffee. Get yourself something if you want, which she doesn't. So later on she's speaking to me. She gives me change. And I noticed that change is a little light. Something she's pocketing my money. So later on she talks to me and she says to me, my granddaughter's name is Zoe. She said, Dad, oh, you might want to know why I didn't give you the amount of change you would have expected. I said, oh, and she says, yeah. She goes, well, it's because while I was there, Zoe wanted some cookies. And so she said, okay. So she used my money to buy Zoe some cookies. But then Zoe said to her, Papa wouldn't mind if I got some more. And Anna bought her more. See, do you mind doing that for your kids? I don't mind doing that. I don't mind, you know, because it's an act of love. It's an act of blessing them and caring about them. And the Lord provides for us. And it isn't a hard thing for him to do. And I don't have to twist his arm to bless me. I don't have to try really hard to make him like me. He already does. He loves me. I don't know why, but he does. He chose to. He does it through Jesus. Jesus said, this is why. He loves you because you love me. And so I don't have to twist God's arm and beg him. I don't have to do a lot of difficult things to try and get his attention. All I have to do is just whimper out his name. Father, daddy, Papa, whatever you call him. Help me, help me. Because even as a wicked father, my ear has always been attuned to the voice of my children.  And my staff can tell you that. I'll be in a staff meeting and this happens all the time. I'll stop for a second because I heard a voice. And it'll be one of my grandkids who's destroying something onto church grounds. But I recognize that voice. I recognize that like you do. I hear the sound and I recognize it. That's my grandson. That's my granddaughter. Or I hear a voice. That's my daughter. That's my son. My ear is attuned to their cry. And God's ear is attuned to yours. Call unto me and I will answer thee and show thee great and mighty things which thou knowest not. God invites us to call unto him. And on the basis of Jesus Christ the son, I come to the father. And I love the son. And so I speak to him and I ask in the name of Jesus Christ. And as I do, then my joy will be full and I honor the Lord. And the Lord loves me because I have loved Jesus Christ and I have believed that he came forth from God. That's what he's saying here. In Zephaniah chapter three verse 17, an Old Testament book. The Lord your God in your midst, the mighty one will save. He will rejoice over you with gladness. He will quiet you with his love. He will rejoice over you with singing. The father loves you. He says because you've loved me and you believe that I came from him. So that's our basis of relationship with God. That's their basis also. Jesus came forth from God. In John one verses 11 and 12, John said it like this. He said he came to his own. His own didn't receive him. But as many as received him, to them he gave the right to become children of God, to those who believe in his name.   In Psalm 84 verse 11, the Lord God is a son in shield. The Lord will give grace and glory. No good thing will he withhold from those who walk up brightly. In Romans 8, 32, he who did not spare his own son but delivered him up for us all, how shall he not with him also freely give us all things. Notice again, Jesus said you have loved me and believed that I came forth from God. Now I want you to see this. This is an interesting connection between belief and love. In this verse, Jesus spoke of their love and then he spoke of their belief. So it would seem that their love for him drove their belief in who he was and what he said. In John 14, 15, if you love me, keep my commandments. Why do you obey him and resist sin because you love him and because you believe him? See, there's a connection here. I should I obey the Lord? Well, I obey the Lord because I love him. Why do I believe in the Lord? Because he loves me and I love him. If there's a love relationship between the Lord and me, and I know that sounds odd, even as I say that, I say to myself, that's kind of an odd sound. There's a love relationship between God and me. We're not dating or anything like that. It's the idea of having a connection with God that is deep. It's the idea of loving him. And when you love him, you trust him. And when you're trusting him, you're actually believing him. And I discovered that even in natural relationships, in marriage, that my love for my wife is a foundation of why I believe her. I love her and she wouldn't lie to me. I love her and she'll always be faithful to me. I love her and she wants to bless me. I love her and she'll never, never forsake me. I love her and I believe her because I love her. Whatever she says to me, because I love her, I'm open to believing what she says. Love believes all things. And so you love the Lord. And when you love the Lord, then his word to you is more conversational, it's more practical, it's more personal because you're not reading a book that was written to somebody else.  When I was in the Army, we had mail call and there were times when one of my friends would get a letter and I would sit down with them and they'd be reading their letter. And as they read their letter, they'd say, oh, listen to this. And they'd say, Uncle Joe just got out of the hospital, he had appendicitis and he'd say, oh man, and he'd be reading it out loud to me. I don't know, Uncle Joe, and it may touch you, it doesn't touch me, I'm glad Joe's good. But that's about as far as that goes, right? Because that letter wasn't for me. The Bible's like that. There are people who read it and they say, I don't understand it, it's because you're not saved. But when you're saved, that's a letter to you. So when the letter to the Galatians is also a letter to you. The letter to the Corinthians is also a letter to you. The Gospel of John is also for you. It's a letter to you. But if you're not saved, you're just reading somebody else's mail. So when you open your heart to Christ, that's when it becomes practical. And because you love the Lord and you know he loves you and Jesus is saying that, God loves you because you love me and because there's a love relationship, if you believe me, well that's because love draws me to trust. And as I trust, I'm believing. And as I'm believing, I'm receiving because he loves me and it's that kind of circle. I love him, I believe him, I speak to him, he ministers to me. I love him, he loves me because I love Jesus, it all works together in that way. And so we know that we can trust the Father because we believe in the Son and the Father loves us. And so continuing, he says in verse 28, I came forth from the Father and have come into the world again. I leave the world and go to the Father. Salvation, I come from the Father. Salvation originates in the heart of God. Salvation did not originate in the wishes or designs of human beings. And Jesus came to earth to take us back with him to heaven. He said, I leave the world, notice and I go to the Father. Earth is not my home. Heaven is, I'm about to go home. This truth about Jesus is also true for us. We too one day will leave this world and one day we're gonna go to our heavenly home. And that knowledge is supposed to comfort our hearts as we endure life because life sometimes is filled with distractions and filled with pain. And so this knowledge that we're just passing through, this knowledge that the earth is not my home, this knowledge that there's something greater and something better has always provoked people to live godly lives. What it does, this knowledge is an incentive for us to live a proper way of life. And because we believe in heaven and we know we're gonna go there based on the merits of Christ and our faith in him, well our faith will be revealed by the way that we live. Now the enemy's tactic is to keep our minds on our current situation in order that he might distract us from our future destination. He uses various tactics, disappointments in life. Disappointments in the church, disappointments in our homes. The enemy has a tendency of drawing our attention to the things on earth and he can do it in such a way that we can actually lose hope. If you watch the news 24 hours a day, what's it due to your faith? What's it due to your hope? If you come home and watch the news and you see one thing after another, after another, after another and you hear so much negative constantly. What happens to you?  Young people start saying I don't wanna have any children. And that's not a bad idea by the way. But young people say I don't want any kids because what kind of world am I bringing them into? It's all terrible, it's all bad, it's all filled with pain, it's all filled with disappointment, nobody's making it, we're looking at what's happening. Isn't that going on right now? You know part of the reason why the church is in despair and many are is because they're keeping their eyes on the current situation. Instead of looking at your future destination. Oh, that's what's wrong with you Christians, you're too heavenly minded to be earthly good. No, no, we're too earthly minded to be heavenly good. We're so busy trying to get all that we can and we're so busy thinking that this world is our home that we fail to realize we're just passing through and Jesus is speaking and he's saying, listen, I'm gonna be taken, I'm gonna be murdered, I'm gonna be brutally treated, you're gonna lose everything, you're gonna weep, you're gonna be in pain, it's like when a woman is giving birth to a child, there's so much pain. But when that child is born, then there's joy.  Because if they kept their eyes on the present circumstances, they're gonna miss the future glory. Be very careful, be very careful. This is a word that the Lord was speaking to my heart yesterday to me on a personal level and I don't know how I'm gonna be able to share this with you in a way that will make sense, but be very careful that you don't lose hope because of what you're seeing take place right now. I have to tell you something and I don't know how to say this in a way that is understandable because I don't have an ulterior motive in saying it, I just think it's spiritually true. Bad things that happen can very often be used for somebody else's advantage. I think that's taking place right now. The church is becoming fragmented in some places, not every place, but in some places. We're beginning to argue about things that are stealing the peace from believers.  And I made a post that I posted something that I really believe is very true, and then a young man, probably 23 years old, wrote me to instruct me about what life is all about. I think you should respectfully listen to anybody, but at the same time, if wisdom speaks, then people are wise to listen. And when you have experience, you probably can gain credibility. When you don't have any, and you try and give advice, it's kind of like when Marie and I had our children and people who didn't have kids were the best parents, they always gave the greatest advice, they always did. They always had the best advice, well, you ought to do this and you ought to do that. Really, and how many children do you have? I don't have any yet, but they will be perfect, I know they will. Well, when you have them, I'll visit them in jail, don't worry about that. You see, the things that we go through in life are not intended to break us, they're intended to form us. And part of the things that we go through, the sorrows and disappointments and the pains that we endure can serve as reminders that we're just passing through. And it causes us to have a heart that's anticipating a better life and a better place called heaven. It awakens that in us. You see, Satan draws attention, our attention to things on earth, then he might discourage us. You need to remember what the writer of Hebrews spoke concerning suffering in faith because in Hebrews 11, listen to what he wrote. Hebrews 11, 35 through 38, the writer says, women receive their dead raised to life again. Others were tortured, not accepting deliverance, that they might obtain a better resurrection. Still others had trial of mockings and scourgings, yes, and of chains and imprisonment. They were stoned, they were sawn into, they were tempted, slain with a sword. They wandered about in sheepskins and goat skins, being destitute, afflicted, tormented, of whom the world was not worthy. They wandered in deserts and mountains, in dens and caves of the earth. This is speaking of the saints, this is speaking of those who loved God and he said, this is how they live. This is what happened to them. Paul on various occasions spoke of what he endured while on earth. We'll be seeing this as we study through 2 Corinthians, but in 2 Corinthians 11, 24 and 25, this is some of what he went through. He said, from the Jews five times I received 40 stripes minus one, three times I was beaten with rods, once I was stoned, three times I was shipwrecked, a night and a day I spent in the deep, in journeys often, in perils of waters, in perils of robbers, in perils of my own countrymen, in perils of the Gentiles, in perils in the city, in perils in the wilderness, in perils in the sea, in perils among false brethren, in weariness and toil, in sleeplessness often, in hunger and thirst, in fastings often, in cold and nakedness, besides the other things, what comes upon me daily, my deep concern for all the churches. That was Paul's life. He's speaking of the pain and the dangers that being a believer, exacted from him. He's seeing that, the things he went through. And so when Jesus is speaking to us and teaching us, he's saying, I came into the world, but I'm going home. And one day you'll be able to go home too, because Jesus is about to be tortured, he's about to be mocked, he's going to be painfully executed, and yet he's telling them, I'm going home. You've believed me concerning my incarnation. Now, believe me concerning my ascension. I'm going home.  I'm going to die, Jesus is saying. I will be raised from the dead. I'll be, as I'm resurrected, I will ascend to heaven, and I will send the Holy Spirit. And so you've believed these things about me. And these are the things that are awaiting me. I leave, are awaiting me. I leave the world, I go to the Father. And by the way, when you as a believer leave the world, you also go to the Father. That ought to give you some hope. That ought to give you some hope. You're going to the Father. You're going to go to heaven. You're going to be in heaven. Think about it. I mean, the church has lost many, in many places guys, the church has lost the hope of heaven because we've tried to make earth into heaven. We've tried to have everything here in heaven too. But as I read my Bible, I see that the saints suffered, went through afflictions and pains. The saints had those experiences. And I can't imagine that I won't too in one form or another. But what gets me through? What will get you through? It's the hope of heaven. And that's what Jesus is teaching us here. I've come forth from the Father. I come into the world again. I leave the world. And I go to the Father. Now, verse 29, his disciples said, He, I'm seeing now you're speaking plainly, using no figure of speech. Now we are sure that you know all things and have no need that anyone should question you. By this, we believe that you came forth from God. Now, now we believe. And so, you're speaking clearly now. We can follow you. We understand you. But notice verse 30, where Jesus says, where they say in verse 30, now we're sure that you know all things. Now, emphatically, now we know we can trust you completely. You're speaking plainly. You've anticipated our questions. That reveals to us that you care about us. You understand what we're going through. Isaiah 53, verse three, tells us about Messiah that he's despised, rejected by men. He's a man of sorrows. He's acquainted with grief. You understand us, by the way. Anything you ever go through, any pain that you ever feel, he understands. He understands. He took upon himself the sin of the world as he took upon himself the sin of the world. He took everything upon himself. He has an understanding of you. And he loves you. And that's part of how come we can trust him. Well, as this is taking place, Jesus answered them, verse 31, do you now believe? Indeed, the hour is coming, yes, has now come. That you're gonna be scattered each to his own and will leave me alone. Yet I'm not alone because the Father's with me. These things I've spoken to you that in me, you may have peace. In the world you will have tribulation, but be of good cheer. I have overcome the world. So Jesus not only anticipated the questions, he also anticipated the responses. Though they stated that they believed in and they trusted him, they were soon gonna desert him. And just that night, as we've gone through this in chapter 13, just that night, Jesus made it clear that they would be forsaking him. Mark records in chapter 14, verse 27, Jesus said to them, all of you will be made to stumble because of me this night for it's written, I'll strike the shepherd, the sheep will be scattered. We remember how that the apostle Peter and the other apostles protested, but they ultimately did forsake him. They scattered. When Judas arrived in the garden to betray him, Mark 14, verse 50 says they all foresoaked him and fled. And Jesus knew they were gonna do that. He read their hearts. He knew, he knew they loved him. He knew they believed in him, but he also knew they would desert him. The Psalm is in Psalm 103, verse 14 says it like this, he knows our frame and he remembers we are dust. There was a singer that some of you may have heard of him in the past, maybe you studied ancient Christian music. His name was Keith Green. And he sang a song that was very popular at one time. It was entitled Grace By Which I Stand. And these are some of the lyrics of this particular song. Remembering that he knows our frame, that we are dust. Keith Green writes, Lord, I remember that special way I vowed to serve you when it was brand new. But like Peter, I can't even watch and pray one hour with you and I bet I could deny you too. But nothing lasts except the grace of God by which I stand in Jesus. And I'm sure that my whole life would waste away except for grace by which I'm saved. And that's what it takes, guys, the grace of God, the apostle Peter and all the rest who claim that they would remain faithful to him, they all forsook him. And so Jesus says it in verse 32. The hours come, you're gonna be scattered each to his own and will leave me alone. When I gave my testimony, I've only given my testimony, what I would have called a full testimony, I've only given it twice. In all of these years in a church, I've only given it twice, I've only given it twice completely in the 40-some years I've been following the Lord. But I'll say one thing real briefly here. Verse 32 is one of the verses that is one of my verses. It's one of the verses God gave to me as a brand new Christian. When he says in verse 32, the hours coming, yes, and has now come that you'll be scattered each to his own and will leave me alone, yet I'm not alone because the Father is with me. I am not alone because the Father is with me. Those words speak to me in a deeply personal way. I'll say it very briefly.  But I will say this, that if there was anything that spoke to my heart when I first got saved, it was that I was never alone. That I was never alone. I grew up in a time, it's a different time than now, of course. I grew up in a time when mothers actually stayed home. My entire neighborhood, everybody's mother was in that neighborhood. All my friends, all of their moms stayed home. All of them. None of my friends' moms worked. In my neighborhood, there were, and I knew a lot of the kids, in my neighborhood, I only knew two kids from kindergarten to high school. I only knew two kids who were from broken homes. Only two. The moms stayed home and the couples stayed married. My mom worked. I was the only kid in my circle of friends that had a working mom. I would come home every day from the time I was young, seven years old, eight years old, to an empty house. And I had, they called them latchkey kids. I was, that was what I was. And I would come home. I had two small sisters that I would babysit because my mom went to work. And I babysat my sisters from the time I was about eight or nine years old. I had an older brother who's two years older than me who was distant from us. So I was the one who watched the kids. I was the one who cleaned the house. I was the one who took care of that house. From the time I was a little boy. And what I would do is I would go to my room when I had the opportunity to close the door. And I was alone. I was alone for a good portion of my life. Now some people wish they could do that right now. But when I was a kid, that wasn't normal. So I didn't have anybody to talk to. I didn't have lots of friends. I didn't have any relationships. I was alone.  So I got comic books and I entertained myself. Why am I telling you this? Because I didn't know how lonely I was until I got saved. When I gave my heart to Christ, this scripture came when Jesus said, I'm not alone. My father's with me. That changed my life.   Because my mama never stopped working until her health forced her to. My mom kept working into my adulthood. My mom didn't ever stop working until she couldn't work anymore. And I was alone all the time. I didn't have anybody to tell my dreams to. I didn't have anybody to tell my secrets to. I didn't have anybody to confide in. I didn't have any of that. I was alone. And then when I got saved, the Holy Spirit said, now you're never alone. Now you're not alone. So this verse here has always spoken to me in a deeply personal way. You see, he was forsaken. All the people fled. He was by himself. He said, you're gonna scatter and leave me alone, but I'm not alone, for the father is with me. And I still have emotion. It comes out, you can see some of it. I still have emotion because I have this ability to transport myself back to moments that I felt certain things. And my eyes well with tears because I felt those things then. I can feel them even as I speak in of them. I know that one day my family could be taken to be with heaven. I know to in heaven, I know that. I know that my precious, my beloved Marie, she could go home before I do. I know that. I know that. I know that. But I still will never be alone because he's with me. And neither will you be because he's with you in your lonely moments, in your quiet times, in the sorrow of your heart when there's nobody there to speak to that you wish you could tell somebody a secret or tell them how you're feeling. I learned how to pray that way. I learned how to walk in a forest. When I was first saved in the military, I would walk through and run through a forest three miles every day. And as I would do that, I would pray and I would talk to God. I would share with him conversationally. Lord, this is how I feel and this is what I'm thinking and what should I do? I can still remember those conversations. You know why? Because I still do that to this day. I don't run. I'll drive through the forest, but I won't run. But I still do that. I'll drive to the office and I'll be saying, Lord, what do you think we should do? Can you show me how we're gonna do this? Father, what would you have us to do? It's a constant jabbering with the Lord. Why? Because I'm never alone. He's always there. His ear is open into my cry. He loves me because of Jesus and you're never alone either. He's always with you too. If you know Jesus Christ, he never leaves you. He never forsakes you. He's always with you. You're never alone.  Be of good cheer. I have overcome the world. Victory is guaranteed because Jesus is the victor. In Romans 8.38 and 39 I am persuaded that neither death, nor life, nor angels, nor principalities, nor powers, nor things present, nor things to come, nor height, nor depth, nor any other created thing shall be able to separate us from the love of God which is in Christ Jesus our Lord. I am persuaded nothing can separate us so we hold on. In 1 John chapter five verse four whatever is born of God overcomes the world. This is the victory that has overcome the world, our faith. These things I've spoken to you in me you may have peace. The world you will have tribulation. Be of good cheer. I have overcome the world. Jesus was going to the Father and one day we will too. We're gonna see him face to face. And then you're not gonna complain and you're not gonna whine and you're not gonna have that list of questions that you've been keeping so you can ask God. You know when I see God I'm gonna ask him. No you're not. When you see him face to face, when you get a chance to look at Jesus Christ, when you get an opportunity to see the one who loved you and gave himself for you, all you're gonna do is fall on your face before him and you're gonna say thank you Jesus for what you've done for me. I love you so much. Thank you so much. Yes you're never alone, never forget that.


Alright, I'm sure many of you guys have heard the news by now, Dragon, one of the rare Hopkins looping coasters, there's only like five of them now I believe. Well, Dragon at Adventure Land is being removed, as we speak actually, just kind of out of nowhere. They physically started dismantling this coaster. Dragon is no more, and Adventure Land also posted on their Facebook page this very interesting photo of a night slaying at Dragon. You know, obviously, this is a teaser. It even says coming in 2021 dot dot dot dot. So they're obviously teasing a new attraction for 2021. This is really weird. It just kind of came out of nowhere, and it seems like it could be a very last minute thing. Seeing as the park is supposed to be opening up for the season at some point in the near future, and they're just now starting to remove this ride. Like I said, it's a rare Hopkins coaster has two inversions, 2250 feet of track, 90 feet tall, 85 foot drop. I've basically heard all bad things about this ride. Nobody really had anything very good to say about it from the people that actually wrote it. Certainly one I would have liked to have gotten to experience myself.  So there's that. But anyway, moving on to the point of this video, I just wanted to give my thoughts real quick as to what I think could potentially replace this or rather what I think would be a good fit for a replacement for this. I'm going to talk about several different options. A lot of these are ones that a lot of other people are talking about as well and for very good reason. And we'll go over those reasons. Don't worry. Here's the thing. They're removing dragon. This is one of the park signature rides. It's very picturesque. It's an icon for the park. It's really a beautiful looking ride that goes over the water. It's actually a really, really cool looking coaster, probably one of the coolest looking coasters out there. So it is an icon for the park. I do feel like the replacement is going to have to be something substantial, something worthy of putting in the dragon spot. I don't think they're just going to take this out and just put in like a generic family ride or anything like that. I think it's going to be especially since they're teasing now and they're removing this ride so quick. It looks like they're trying to do prep work for whatever that new attraction has to get started on that. So basically, do I think this is going to be a new coaster for the park? Yeah, I pretty much think this is probably going to be some sort of new coaster. I think it's very likely. That's certainly what I would like for it to be. And I have to say Adventureland in Iowa, it's a park I've always wanted to go to. I really want to go to this park. It's a great looking place. I've heard some really good things about it actually. It seems like one of those kind of underrated gems out there. Now let's talk about what they've received recently. In 2016, they received the Gerstlauer Infinity coaster known as Monster. And I've heard many good things about that. That is undoubtedly the star attraction of the park. And it looks like a great coaster, honestly. And then in 2019, they added a Mauer spinning coaster. I've written a clone of this at Waldemir. It's called Steel Dragon at Waldemir, but the one here is called Phoenix. And it's a great ride. These are really good investments for this park. So to see them investing into so many coasters like this, now they're removing Dragon. It looks like they might get another coaster. That's a pretty exciting thing to think about. So let's get into the different options here. What do I think could be replacing Dragon? Well, let's talk about the Chance Hyper GTX. There's only one of these. It's at Kentucky Kingdom, Lightning Run. Looks like an amazing ride. I hear great reviews. Pretty much everybody has amazing things to say about it. And it's really an enigma why more parks have not added one of these because they're small, compact, cheap. They provide tons of thrills and a small footprint. It just makes a lot of sense and it would make a lot of sense for this park. It would definitely give them a good airtime machine. I think they could use an airtime machine. They don't have that right now. So a Chance Hyper GTX would definitely fill that slot very well. Next, we have the Premier Ride Skyrocket 2.  These are found in quite a few parks. They're a clone model. And I haven't been on one myself, but they look awesome. And I hear mostly pretty good things about these. And this is another thing that would fit this park very well. And it would be one of their signature attractions for sure. It would give them a launch coaster because they don't have a launch coaster. This would also definitely work really well. And of course, it takes up a very small footprint. It would definitely fit on that plot of land very well. It definitely fits. And it would be within their price range, I'm sure. Next, we have the cliche suggestion that I have to say this, you know, for every small park that looks to be getting a new coaster, they need to get an RMC Raptor, right? I mean, every park, they're rumored to get an RMC Raptor. But this is definitely a park that these coasters are aimed towards. And it would definitely fit very well here. Of course, these are small, very compact, very, very thrilling. They have tons of airtime and versions. You would replace dragon with another looping coaster. So you'd have a high thrill coaster with inversions. You'd have an airtime machine. The price for these is very low, just like all of these options are. I mean, I've taken that into consideration. I'm thinking of realistic things for this park to get the price would probably be good for this park. And overall, a Raptor would be absolutely phenomenal to see at Adventureland. I mean, any park would be lucky to get an RMC of any kind. And these Raptors just get rave reviews. Yeah, I definitely think a Raptor would be a very good fit. And if it does turn out to be a Raptor, it could be a custom layout, because I guess RMC has apparently sold all of the the clones. They sold that one for really cheap at IAPA, which appears to be that one in South Dakota. So this could be a custom layout, which is pretty cool to think about too. Even if it is a clone, though, it's an RMC. So there's not really anything to complain about. Next up, I'm going to talk about Vakoma. Vakoma has tons of new models that would be amazing for this park. Once again, bang for your buck high thrill. Some of them are very compact, take up small footprints. They also have larger models. They have a lot of variety. They have so many different choices that these parks can choose from. I mean, there's the Bermuda Blitz, the Firestorm, the Space Warp, the new suspended thrill coaster. Now there's so many options that they could go for with Vakoma. And honestly, I would like to see any one of these come to an American park. These new generation high thrill Vakoma coasters, they look so good. I've heard amazing things about them. And any one of these models would be an amazing fit for this park. And just picture something like maybe one of the new suspended thrill coasters just gliding over the water there where Dragon used to sit. That would be so beautiful as well. But any of these new Vakomas would be an amazing fit for this park for sure. One problem with Vakoma that comes to mind. Vakoma is owned by SNS Sansei Technologies. And it seems like they've kind of divided up the operations and it seems like they're having SNS take on like the American projects and Vakoma is taking on the international stuff. So we haven't seen any of these new high thrill Vakoma coasters in the United States yet. We did see Dragon Flyer at Dollywood last year, which is one of the family suspended coasters great ride. But it seems like Vakoma is more focused on the international market. So maybe as an alternative to Vakoma, they could go with SNS. And I'm sure SNS could do something really great for this park as well. Of course, we saw Steel Curtain open last year. Maybe they would do like a more compact version of that ride. It probably wouldn't be a huge hyper coaster, but maybe something a little over 100 feet tall with a few inversions, maybe some airtime moments, or maybe they just have SNS build them an airtime focused coaster, or maybe they get an air compressed launch coaster. Imagine a ride like Max Force coming to this park. Now that would be incredible. I believe pretty much all of these SNS coasters are going to be fairly cheap as well. Maybe not as cheap as some of the other options that I mentioned, but it would likely fall within their price range, I think. So those are all my options that I kind of thought of the ones that immediately come to my mind and scream, this would be perfect for Adventureland. I think they need another high-thrill coaster to replace Dragon, possibly something with inversions. They definitely need something with good airtime, I think. So that would be awesome to see something that has amazing airtime and possibly even throws in an inversion or two, and even a launch if they could incorporate a launch. You know, that would be great. Maybe a launched Vakoma. I think personally if I had to pick one of them, I would like to see another one of the Hyper GTX coasters, but I really, really, really want to see some of those new generation Vakomas come to America. So maybe I would go with a Vakoma model. But what do you guys think? What do you think Adventureland is going to receive for 2021? I imagine we'll probably hear some kind of announcement in the next two or three months. They are teasing for it. They are apparently getting a new attraction for 2021. This is really exciting. Let me know what you think and I will see you guys next time. This is CoasterDaddy. Bye.


Anyways, here we go. Let's talk about colleges and which ones are actually worth it. What's happening? It's Shane here. So chances are if you clicked on this video You're interested in knowing if your college or college you're looking at is a good deal So as we know many colleges out there are ridiculously overpriced And you're gonna end up paying off your student loans for 20 30 40 years before you finally get out of debt That's a really bad deal a much better deal in my opinion is to always remember within the first 10 seconds of the video To always tap like just because it helps with the YouTube algorithm and I really appreciate it I've talked about this a lot before but it's almost always a good idea to save as much money as you can when it comes to Going into a college the average student is graduating with 30 to 40 thousand dollars of debt and by the time you pay it off Sometimes it's actually double that so in this video I'm gonna go over some colleges that are really good value deals And I'm also gonna go over how you can find the best value college for your specific situation Number 10 on the list is going to be Baruch College, and I know I'm probably saying that wrong It's probably like Baruch or something like that But the average net cost of Baruch is gonna be around 11473 dollars now Baruch is a college in New York City So it has a really nice prime location and a lot of the other colleges in New York City cost Ridiculous amount of money, and so it's really refreshing to see one that is actually a decent deal So for the alumni that graduate from this college after 10 years They're making somewhere around a hundred and seven thousand dollars a year on average And that's the average of all of the different degrees combined So that's actually really good number nine on the list is going to be UCLA or the University of California in Los Angeles So the average net cost of this University is going to be somewhere around $12,400 this is another one where it's really nice to see in a really expensive city like Los Angeles That there's a university that doesn't cost as much money now We see that alumni with over 10 years of experience are earning about a hundred and eighteen thousand five hundred dollars on average I should note here with this one as well as the last one that people who live in New York and Los Angeles Even if they make more their take-home pay is probably going to be a little bit less just because the cost of living is so high And so if you're making a hundred thousand dollars a year in New York That's actually not that impressive compared to making a hundred thousand dollars a year in Texas or Louisiana So just keep that in mind when you're looking at this list This next one isn't necessarily in a state that has a really high cost of living and that's Michigan Technological University now the average net cost with this one is going to be around $12,000 an alumni with over 10 years of experience are going to be making around a hundred and ten thousand dollars a year now One thing that you see over and over again is universities that concentrate on specific subjects that tend to pay a lot higher Are universities that tend to be better deals? MTU Michigan Technological University is a perfect example of this they concentrate on a lot of degrees that are going to lead to you getting a really good Career where you're making a good amount of money And so I wasn't surprised to see that one on the list the hundred and ten thousand dollar salary after ten years is also quite a bit of Money especially in a state like Michigan number seven on the list is going to be the College of William and Mary now It costs on average about eleven thousand three hundred and twenty dollars alumni are going to be making around a hundred and thirteen thousand six hundred dollars After ten years of experience and this one is located in Virginia So it's kind of in the middle I guess you could say there's some parts of Virginia that are really expensive and there's some parts that aren't overall This one is a pretty good deal next around the list is going to be Purdue University in West Lafayette and no That's not going to be Lafayette, Louisiana. That's actually Lafayette, Indiana Now the average cost is going to be around ten thousand eight hundred a year and the median salary for alumni with over ten years of Experience is going to be a hundred and five thousand eight hundred dollars now as you can imagine that 105,000 goes a long ways especially in Indiana And so that is a very nice salary for just everybody who graduates from the university to have number five on the list is going to be the Georgia Institute of Technology and this is another one that focuses on technology the average cost is going to be somewhere around 12,200 dollars a year and the median salary for alumni with ten years of experience is going to be somewhere around 131,000 a year now obviously that median salary is Extremely high one of the highest on the entire list and again The reason for that is because they generally stick to the degrees that only pay really well now Additionally having a salary like that 131,000 a year is going to be really good in a state like Georgia where the cost of living Isn't that high number four on the list is going to be the University of Michigan at Ann Arbor And this is one of the most popular universities in the entire country It's also a really good deal because the average net cost is going to be somewhere around $10,000 a year and for that the median salary of alumni with over ten years of experience is going to be a hundred and seven thousand nine hundred That is really good, especially considering the fact that Michigan is one of the best public universities in terms of your education It's one of the most popular universities So you're going to have a huge network on top of that Michigan is not a state where it costs that much to live And so this one overall is just a very good choice and I would encourage you to look into it number three on the list is going to be Massachusetts Maritime Academy now This is a public college in Massachusetts and they focus mostly on maritime related activities So basically degrees that have to do with the sea or the ocean the average net cost to attend is somewhere around $10,200 and the median salary for an alumni with over ten years of experience is an amazing $114,600 a year number two on the list is going to be the University of Washington at Bothel now This one is actually a satellite university of the normal University of Washington, which is located in Seattle The average cost to attend is going to be somewhere around $8,700 a year which is pretty low compared to all the other ones on the list for that the median salary is going to be somewhere around $104,000 a year which is extremely good Especially considering you're living in a state like Washington where the cost of living isn't very low and then on top of that Washington doesn't have any state income tax So it's no surprise that the number one on the list is going to be the other University of Washington the one that's located in Seattle the stats for this one are almost the same the tuition is just a Couple hundred dollars more, but you are going to make quite a bit more $111,800 a year compared to the 104,000 from the University of Bothel The discrepancy is probably due to the high cost of living in Seattle and the fact that there's a lot of technology and high-paying jobs in that area Now if you're thinking about attending a specific university and you're wondering whether it's a good deal or not What I recommend doing is looking into the tuition tracker and there's a really important reason for this You might think that you can just look up the price of a university online I mean they do all have that posted on their website, but there's a huge difference between what's known as the sticker price Which is what they have posted on their website and what students actually pay So for the purposes of this video, I just had it as the median income bracket So people who make around 48,000 to 75,000 dollars a year or rather their family makes that much But different universities are going to vary a lot depending on how many scholarships they offer What kind of assistance they offer the grants they offer How much your family makes they'll they can adjust the tuition based on that There's so many different variables So the sticker price and the actual price are often way different There are some colleges that won't help you out at all and so the sticker price is the entire price of the college itself There are other colleges where they might have a sticker price of 20,000 dollars a year and you end up only paying about 8,000 This is a hugely confusing process and that's why it's so important that you do your research upfront And you look both of them up so that you can compare them This is a tool that will also give you the retention rates of different schools Which is basically how many of the students that started off actually ended up finishing their entire degree at that school This is generally considered to be a very good indicator of the quality of the school itself For instance, the number one on this list, the University of Washington has a 94% retention rate And that 94% retention rate is well above the national average Now I've talked about this a lot before but I am a huge fan of going to a community college for the first two years And then transferring those credits that you got from the community college to a state school Out of the four big options, community college, state school, non-profit and for-profit universities Those two, the first ones are by far the cheapest And out of those two, community college is of course going to be cheaper And a lot of the time community colleges actually give better education in my opinion than state schools and public and private colleges The reason for this is because the class size is generally a lot smaller And the professors at community colleges are professors first Whereas a lot of the time at state schools and private schools, the professors are researchers first and professors second So just as an example, my first year in college and I'm not, you know, trying to talk crap on my college I feel like a lot of them are like this A lot of my lectures were like 300 people and I did not feel like I was getting a very good education A lot of the time they would just read off of the slides Now if you do decide to go to the community college, you're out to save some money Which you will save a ton of money if you do that You do need to make sure that the state school that you're planning on going to accepts the credits from that community college And that is a very important step in the process Another thing that you can do to save money on this whole entire process is to actually just finish your degree early Now this is an option if you're taking one of the easier degrees I'm just not going to sugarcoat it at all Some of the degrees are a lot easier than others This might not be an option for you, for instance, if you're taking engineering or computer science In fact, you might have trouble finishing it in four years and you might have to take an extra year But if you're taking an easier degree, I know a lot of people who have finished them in two and a half Sometimes three or three and a half years and that saves a ton of money On top of this, you want to look into scholarships, grants, essay writing contests and all that sort of thing I've already made entire videos about this so you can check out my channel if you want to see those And a lot of people when they go to college, they just think that their student loans are this magical, you know, cornucopia of loans And you're never going to have to actually pay that money off And that's just not the case and that's why so many people fall for this trap But luckily for you, if you're watching this now, you haven't started college yet You can plan ahead and make sure that you make good financial decisions Check out my other videos right here, I made them just for you Go ahead, smash the like button, hit the subscribe button, ring the notification bell And then comment below any comments, thoughts, criticisms, etc that you have on the video Thank you so much for watching and bye for now


Good morning, everyone. Did you catch that awesome interview with Dave Vellante and Frank Slutman just now? It's on theCUBE.net, if case you missed it, you're definitely going to want to see it. Lisa Martin with Dave Vellante, day two of our coverage of Snowflake Summit from Caesar's Forum in Las Vegas. We've had great conversations yesterday, today. There was a special Easter egg in Dave's interview with Frank, you're going to want to watch it. Up next, we're going to be talking about Snowflake, its partner ecosystem, how they're helping customers with their cloud data transformation, helping customers achieve really big business outcomes. Dave, I always love talking to the Snowflake ecosystem. It's never a dull moment. Well, and you know when the ecosystem brings in the leading system integrators, that it's beginning to get real, because that's where it actually all happens. Yeah, the rubber's going to meet the road and you're going to hear about it next. Narayan Kamat is here, Global Head of Strategic Initiatives and Partnerships at Wipro. Welcome to theCUBE. Thank you for having me here. And it's always an honor to follow somebody like Frank Slutman. I've dropped in some of the interview notes and unbelievable where we are today. Isn't it fantastic, lots of news, starting Monday night with NVIDIA yesterday was like one of those t-shirt cannons at like a basketball game of news, I say. But talk to us about what's new at Wipro, what's the partnership. I know that partnerships are really core to Wipro's DNA, give us the backstory. We've gone absolutely serious about the kind of partnerships we choose and we've been very, very strategic about it. We've selected only a handful of partners, including the hyperscalers and snowflakes sits right at the top. We want to go, as they call it, inch wide and a mile deep with what we do and we have committed full end. Wipro's committed a billion dollars into Wipro Full Stride Cloud, which is around complete cloud modernization, digital transformation and a lot of that is investments into our partnerships, partner programs, joint solution and go to markets. And we're doing it pretty big with Snowflake now and that's why Snowflake, especially in today's world for the last three years, we've only seen growths about 200% in terms of how it's impacting our revenue and the business outcomes that are reflective of to our customers. An inch wide and a mile deep generative AI, it's the hottest topic one of, it's like the new it girl for tech. Give us your point of view on the impact that it's having on Snowflake, cloud data storage and some of the outcomes that you're excited for it to generate. Awesome question. I mean, if I had a cent for every time I had gen AI, the last two days I've been a millionaire, the fastest one. But yes, I mean, absolutely disruptive and we know that, especially Wipro was marked by IDC as worldwide AI services leaders for 23. So we know a thing or two about gen AI and the disruptive nature of it is so much so that I cannot go to a meeting with customer or talk about a solution, even some of the solutions we launched without having gen AI component follow up on Snowpark. Just take the fact, March, chat GPT, 100 billion users hit it per month. The kind of growth, the kind of acclimatization towards chat GPT across all ages is huge. But that's showing up on the demand for data.  So it's spearheading by AI, but that can only take you to as good as what is driving gen AI and that is the data. That's the fuel, that's what is propelling every industry use case, every customer success today. So tell us more what those conversations are like with customers. Is it trying to figure out, like you know how everybody was trying to get digital right until COVID forced us to get digital right? I feel like everybody's trying to figure out LLMs and gen AI and it's magic, but it seems like Frank said it's got to have a return. So what is that conversation like and where is the ROI? Absolutely, I mean most of the conversation, believe it or not, are non-technology. Most of the conversations start with business and what they want to and almost always end up with significant business outcomes, right? And I can give an example for a customer that we created a solution. It was around using gen AI. It's one of the largest cigarette manufacturers. It's about the time spent on selecting the quality of tobacco leaves, right? I mean it is manual process, you describe the quality by taking a look at different quality grades and based on that those kinds of cigarettes are made. That was all automated through gen AI, right? And that bought in a savings of about 25 to 30 million dollars per year. I mean it was a business conversation. How can I automate? Today business are initiating the conversation. What can I do with AI? Where do I want to save money or time to market? And that is going in. For example, we're talking about 30 to 40% of all new innovations today touched by gen AI and regenerative AI. In fact, we are predicting about 60% of some form of AI or region AI will touch into all product development and innovation by 2025, next two years. So that example you just gave, was that analytics? Was that a snowflake example? A snowflake example. We have a solution built on snow park, on snowflake. So and also the market is such that Dave and Lisa is today even considering the macroeconomic environment, the companies that are going to make investment into AI, gen AI and solutions around it are going to be coming extremely strong. That's why I love what Frank said. I mean the investments with their new acquisitions and with NVIDIA, it's just tremendous. But once the economy comes back in the next two quarters companies like us who are investing big time in snowflake are going to really rock the boat. So Narayan, you've developed a solution in snow park. Yes. Help us understand what that was like. What is that solution like? What was the experience like from a developer perspective? Share that with us. This was one of the first times we actually took our solutions as part of snowflake cloud data network launch. We opened up two solutions, one on telco, one on manufacturing. The telco one we inaugurated in mobile congress in Barcelona. The manufacturing one we did in Hanover, messy Germany and Gartner back in Florida. The mobile solution, the telco solution was more around two use cases that we predominantly ran. One was the telco churn, which was predominantly running on the snow park AI logic and also in proactive maintenance and early warning system, if you will. For example, the kind of interfaces their towers would have with different electrical lines or if some towers need proactive management before failure, if you can predict the damage that is coming in. We had models running through all of that. We also, you might hear, I'll give you an example. I mean that could be the AI component. I'll tell you the data component. To have that kind of tremendous insight to it, you need a solid twinning mechanism. I need to stand up a data or a digital twin of that organization for AI to hit. Totally, love this conversation. And understand your failure points and that builds up.  So that digital twin is like, we always say people, places and things and turning that into something that a database understands. But those solutions that you built, are they different data types? Are they all the sort of, Snowflake talks about unstructured data, structured data, semi-structured. It's all, it grows, there's columns, there's graphs, there's streaming. There are UAV pictures, there are drone pictures, there's everything. It's completely digital, 100% digital. And then we've said, this is our premise, that the magic of Snowflake is you're able to return a consistent, coherent answer, if you will, data point that then you can act on, right? Has that been your experience? Absolutely, the game here is the speed with which you can have that data, the speed with which you can have fail. You can fail on your analytics and Snowflake enables that, right? Having to date the data exchange or standing up or creating a digital twin, it's immense. That's what powers quicker analytics today. So, I got to ask you this, I wish I'd asked Frank on camera, but I wasn't really sure of the questions, but in George and I, we're talking about this, we've talked to some customers who say they would rather do the data engineering and data pipelining outside of Snowflake, because it's too expensive because of the cloud cogs, because Snowflake bundles that in, they have to pay for the cloud in, they get to pay for Snowflake. I asked Frank off camera, he's like, they're wrong. Because our initial experience with Snowpark has been just the opposite, that you can do things so much quicker and so much cheaper if you do that data engineering inside the platform. So, what was your experience? It can go anyways, I mean, it depends on the customer, but I can understand where it comes from, especially with the comment he made. I mean, we are seeing now apps coming closer to the data than data going in. So, your data should be wholesome, intrinsic, and the least dependency on anything outside, the better it is. But I also understand that in a federated architecture, sometimes it's difficult. You need to have certain engines outside. Again, it's a business dependency, it could be two different organizations working, but I feel, I mean, this is my personal opinion, the engine to data and your apps, the closer they are, the faster and better it is to turn our business. And yours is a Greenfield app, is that right? It's a Greenfield app. Yeah, so that makes sense actually for a Greenfield app. I mean, if you're using a bunch of Informatica or other sort of ETL, and you've got your data, or maybe even a Spark execution engine, and you've got infrastructure built up around that over 10 years, maybe it makes sense to do it there, but- I'll tell you, we see equal amount of this ecosystem place, right? Where it's on AWS, no flake, and we are working in Informatica engines, because there is so much stickiness with business. Business are risk, they don't want their risk averse, right? They don't want failure. They want much of the same. They want the same systems, what they understand, and especially large banking financials. We see a lot of transformation. We take them through the journey of cloud modernization. That aspect, the change is what worries them, and I'll tell you why that is coming in, right? Because a lot of the cloud failures are happening, they move the data onto the cloud, but the afterthought is security, my governance, my data catalog, when these are the things that they're familiar with things like Informatica. So they exist, coexist very well in Informatica, and I heard Informatica today released one more integration, pipe into Snowflake. So it coexists, but the follow-up is that now, we are talking about the importance of data governance. You heard Franck yesterday talk, Debupur yesterday talk about data governance, the quality and security. It's going to be so intrinsic and tightly coupled. It's the hail storm, that's the hail Mary of success on cloud, in my opinion. I think if, sorry, at least I know you want to jump in, but I think if you're building a digital twin of your business, people, places, and things like, we use the Uber example. Uber for the enterprise, Uber had to do a lot of work to actually create the coherence across its people, places, and things, and riders, and drivers, and ETAs, et cetera. Establishing that horizontally in any industry, inch deep, mile wide, and then you come in and make it mile deep is a real challenge, and that is, I feel like Snowflake's in a good position to do that, but. What's the Wipro's secret sauce? When you're working with Snowflake, helping customers to really transform so that they can achieve business outcomes, and use, you know, generative AI and LLMs to create new apps, new products, new revenue streams. What makes Wipro really unique in that sense? So, Wipro started pretty early with Snowflake. We invested into them pretty early. We were also partner of the year too, when we began. But now the secret sauce is we try to stay ahead of the curve with respect to our competition to predict where Snowflake's future is and try to build around that. For example, I mean, and our entire organization, it's just not, just Snowflake, right? It's, as I said, it's around the whole cloud. I mean, we created the entire organization of Wipro full-site cloud services around cloud modernization. We put a billion dollars into it. We created an organization which is very simple, four by four metrics, which helps, you know, take, go to our customers in a very simplified way along with our partners, right? We also built an end-to-end ecosystem called WDIS, Wipro Data Intelligent Suite, which Snowflake forms, Snowflake and Snowpark forms the backbone, which helps customer traverse to the cloud journey in a risk-averse way. We take them to the whole blueprint of what is your short-term goals, where are the aspects that you fail, which is the quickest path for quickest returns to your certain business goals or business outcomes. And we take them to the journey and we help them implement all the way towards their AI models to their business outcomes and business goals. That suite, we built about three years ago, we started investing in, and seamlessly we are trying to modify and engineer it to fit in with whatever Snowflake brings in, right, today. So you guys launched recently, and you've already talked about this with Dave, two Snowflake data cloud industry solutions, five business cases so far, using Snowpark, what's next? More of the same, I guess. I mean, we want to go industry-wide. We want to focus, as I said. I mean, if you want to build the example of digital twinning again, you need to know the markets. Where Wipro comes in is we need, we know our customers deep. And we have been with those customers for years. Our deals are deals where we sit across the ecosystem of a customer, guiding them to the journey of modernization across to the business. So we are in a unique place where we can take the technology and we can bring our business understanding and take it deep across the organization, deep into the organization, right? Today, you heard, I don't know if you're in the partner meet, Colleen said there are about $150 billion worth of unused, you know, Snowflake work out there. And that's where partners like us come and help our customers to use those GPUs and use those, you know, investments across their business to drive success. And that's where we're going to be invested more towards, towards industry solution, towards tying more back, tying into some of the investments into, Snowflake has made it, especially with Neva and what's working with NVIDIA. We're going to make sure that is directly reflecting to our customer to get that business outcomes faster, better, deeper solutions. Yeah, that inch wide, inch wide, mile deep might go two miles deep. Absolutely. We cannot go, as I said, right? We cannot do the spray and pray concept. Well, you know, it's funny, you do see a lot of, I think less today than you used to, what we call Barney press releases, you know? I love you, you love me, and then it doesn't drive productivity. And I think companies are being smarter about that. We're going to make the investment, let's go deep. Well, you know, apparently Barney's making a comeback. Is he? Oh yeah. He's back. Loving everybody. Norayana, it's great to have you on theCUBE with Dave and me. Thank you for sharing what's new. Thank you for having me here. Wipro, Snowflake, how you're helping customers with that transformation so that they can get to market faster, and we'll keep our eye on some of those new upcoming industry solutions. Thanks for your time. Absolutely. Thank you for having me here. It's a pleasure. We want to thank you for watching this segment. For our guests and for Dave Vellante, I'm Lisa Martin. Up next, Exxon Mobile and Snowflake are going to be here talking about trends in manufacturing oil and gas. They're going to be talking about an update on Snowflake's manufacturing data cloud announced recently. An Exxon Mobile's data journey. Keep it right here on theCUBE. Your leader in live tech coverage, everything available on thecube.net and siliconangle.com. See you in a minute.


of finding signal in the noise, how to put big data to use. For any of you who are wondering what that graph is, it's a high-endage social graph. You can generate yours. You can go to LinkedIn, labs.com. You can generate a similar graph for all of you. So how many of you here are familiar with machine learning or natural language processing? How many of you have used it in school or at school? What kind of number? So I went machine learning when I went to college in the US and it was really funny, in the sense that it involved a lot of linear algebra, a lot of calculus, a lot of probability distributions. It was all very mathematical and very boring for me. So I thought maybe this is my chance to set it right. Maybe we can make it a little more fun. So what we will do here is we'll take two different problems from two different disciplines and try to see if we can find, if we can take a step at solving those problems. So the first problem is obviously astronomy. What we want to do is find the areas. So for both these problems we'll try to answer three questions. Is it a big data problem? And what are the questions we are trying to get answers from? What kind of answers you want from this big data? And what kind of techniques we can use to get those answers? So the first problem is you want to find areas or have it at all planets. So let's say we have got data. Hubble Telescope was launched in 1990 and it generates close to one lakh measurements per second. So that has been two decades. So you can do the math of how many measurements it has done since then. So if you take that kind of data or if you look at the stats here, just our own galaxy has close to 100 to 300 million stars. If you take that kind of data, does it fit out right here? Is it a big data problem? Yes. What is it that we're trying to answer here? We're trying to find habitable planets, right?  The way to get to habitable planets, you first have to find galaxies. To get to galaxies, once you figure out all the galaxies, you have to find a star in that galaxy that is similar to sun. Once you figure out that you've found a star that's similar to sun, then you have to figure out if there are planets orbiting it. And once you've found a planet that's orbiting it, all you have to do is figure out whether there is water and carbon on it. Once you've done that, you've found a habitable planet. So it's very, very simple problem and broken down. So what we'll do is we, I don't think we can, in the next 20 minutes, we can find aliens, but we can, you know, set our sights lower and we can find the galaxies. Let's say we want to find out the galaxies. So this is the first problem that we want to solve. The second problem we want to solve is we want to figure out the collective consciousness of what's happening. So you have all heard the stats. 900 million people on Facebook, 300 to 400 million people on Twitter, similar numbers on YouTube. And we all know there is a lot of data being generated online today. Then, you know, a few years back. So what we're going to find out is what are people talking and sharing and what's happening in the world? There's been all the conversations that's happening anywhere on the planet. Now, again, it's a very interesting problem. I think the only three companies that can analyze the scale of data today are Facebook, Twitter and Google, because they have access to this data. So again, we have to, you know, lower our sights and we'll try to find, given a topic, we'll try to find what are people saying about that particular topic in real time, right? So you want to figure out whether they are, you know, talking positive or negative about that topic, what kind of issues they are bringing from that topic, those kind of things. So now we have two problems from two different disciplines. One is also one is a friend of a friend problem. So anybody who has used Facebook or Twitter, today knows that, you know, when you log into Twitter or Facebook, you get recommendations. So if you and I have 10 mutual friends, they'll recommend your name, right? So turns out it's an age old problem. It's something that came from astronomy. In astronomy, when you're trying to find galaxies, what you want to do is figure out which stars are friends of each other's stars and then you can use transitivity. If a is friend of b and b is friend of c, then possibly a and c are also in the same cluster or in the same galaxy, right? Whereas what we want to do with the social networking problem is what we want to do, we want to make it possible to do real-time text analytics so that we can analyze what people are saying and provide some kind of a summary so that people can make educated cases about what, what people opinion on a certain topic. So now let's jump back to machine learning. So in machine learning, there are two important concepts, clustering and classification. Clustering is more about discovering. Clustering is more about giving a set of data points you want to group them and figure out which data points are related to each other. And the deal with clustering is you might not know what those clusters are. You might, in some cases, you might know the number of clusters, but you might not know what those clusters are. Whereas in classification, you have a set of predefined clusters and you want to figure out even a set of data points, which data points belong to which class, right? Now classification, again, you can have supervised classification algorithms and unsupervised classification algorithms. We will not go into details on that, but for supervised algorithms, what you would have to do is you have to train your algorithm on a set of data, data points, and based on that, it learns the patterns underlying those data points. And based on those patterns, it tries to classify new data points as they come in. So let's look at a clustering algorithm. So this is called Keynes clustering algorithm. So if you look at it, the very first graph has a set of data points plotted on a two dimensional surface, and what we are trying to find out is what are those clusters? So in a Keynes clustering algorithm, you can make the assumption that you already know the number of clusters. So let's say we know that there are two clusters here. So the way you would go about doing it is you would pick two arbitrary points, data points, out of all those data points, and assume them to be the centroid of that cluster. So that's what's happening in the first graph. In the second graph, then you try to bring together all the data points that are near to that centroid data point. So that's what you see happening in step two and three. That is trying to color code them into that centroid's color to group them together. And every time you do that, you re-compute the centroid. And when you do this enough, and when the data starts to convert, what you get is two clusters which represent the set of data points. So to solve the trend of a trend problem in case of our galaxy trying to figure out the galaxies, we can use a clustering algorithm like this. So what happens is given a set of data points, where the data points are nothing but the location of the stars on a two-dimensional map, you figure out the distance between two stars. And if you make the assumption that there are certain number of galaxies in that two-dimensional space, then you can start clustering around those and figure out which stars belong to which galaxy. So I'll just go back a second here. So the galaxy in the background you see is andromeda galaxy. Now typically, most of the time when you see a picture of a galaxy, it's usually artificially colored to look this way.  So to differentiate from the nearby stars, they're basically all these astrophysicists that color it so that you can actually figure out that it's a galaxy. But otherwise there is no good way of knowing that this constitutes a galaxy. Now we'll jump to classification algorithms. So I think when we talked just before we talked about decision trees, so decision trees are very, very popular and one of the most used classification algorithms. And I think we have all used it internally, trying to make choices or decisions based on available options. So the fundamental part in case of decision trees is you basically have some kind of a flow chart and for each decision you make along the way, you have something called information gain. So what that means is at each level, you want to make a decision based on a data point that will give you the maximum information gain. We talked about one more classification algorithm which is quite popular for support vector machines. So again, we have a two-dimensional space with a bunch of data points, strongly. What I want to really want you to look at is the bottom left charts. So on the left, we have a bunch of data points on a single-dimensional plane. It's on a line. You can see the green and red dots on a line. Now what you want to do is we know that these data points belong to two different classes. One belongs to the green class and the others belong to the red class. Now the trick here is there is no good way of segmenting or figuring out a mathematical formula to classify new data points based on a single-dimensional plane. So what you do, and this is one of the neat tricks of support vector machines, is you project that in a higher-dimensional space. So the graph right next to that is project, if the same data points projected into a two-dimensional space. So what you got there is you found a new electrical shape and now you can find a plane that separates those two data points. Once you find a plane that separates those two data points, what you'll find is a mathematical function that will allow you to classify. Given a new set of data points, you can apply that mathematical function to classify it into green or red class. So one of the things we do is we are talking about, we are talking about the real-time text analytics problem. So what we want to do here is analyze what people are saying about the topic and turns out that's what I do for everything. I run a startup called VWALT. So we basically do real-time social analytics. So as you can see here, one of our customers is actually monitoring the LSE experiment that just ended a few weeks back, which portion particle was found. And as you can see, this is the real-time feed of what people are saying about that specific topic online. With that, I would like to end. Is there any other questions I can answer or yeah? You chose the right question. Yeah. And what did you basically align normally with a transformation? So like in seconds. One similar thing has said, how do you apply clustering? Will you apply normally the transformation there or no? Or how will you generate the clustering? So clustering would be tricky there. You would have to apply nonlinear transformation to generate clusters because otherwise greens would be separate clusters on a single dimensional plane. So you would have to apply nonlinear. Not necessarily. If you understand the data set really well, what the characteristics of the data set is, what the feature vectors are, then you can possibly figure out if it requires a nonlinear transformation. Yes. Which are the popular tools and which are the tools that you use generally? So I think there are lots of open source libraries. There is VETA, which is the open source machine learning library. There is Mahavar, which sends on about Hadoop and pretty much does lots of machine learning algorithms. And I think there are lots of other open source libraries from universities that you could leverage. So my question is, with the exception of Mahavar, the other packages that are there, how well do these keywords increase in memory? So from practical experience, you require a lot of tweaking those open source libraries to scale it to large scale data usage. For example, we process a database of data in one for our customers. And it turns out most of these libraries don't work out of the box for us. So what you ended up doing is writing our own algorithms. Right. So again, with the exception of Mahavar, do you know of any single library which has something like say a simple support library, which can be deployed on the map reuse kind of framework? As far as my knowledge goes, there isn't any. There is live SPM. Again, you have to write records on top of that to work with map reuse. Is it really the real-time analysis of the Facebook and Twitter data? So what sort of Facebook data do you want? Because there are a lot of privacy issues and Twitter, it's okay for me. We might come to the real-time analysis. So what do you do? So we analyze a lot of fan page data. So you know, fan page conversations are public. So if there is business as a fan page on Facebook, most of those conversations are public. And frankly, you'll be surprised at how much of the wall conversations are public, especially they prove 10 to 20. The younger generation, I think is more open and more willing to share data with the world. Maybe that's another. That's one more question. So do you really need remind sensing sort of anything on the real-time analysis? I'm sorry, what? Remind sensing. So, yeah. So in fact, what you're talking about is real-time generation, right? So real-time generation. Right. So we actually wrote algorithms, machine learning algorithms that could classify leaves. And it's quite funny. So we were trying to try, you know, people who wanted to buy luxury cars. Turns out people between age 10 to 20 tweet a lot about them wanting to buy BMW, right? Most of them are students. So it's very difficult, you know. You need to understand the context. It's aspirational or is it a real need? You know, people who want to buy BMW, wouldn't they tweet about it, right? So this is just one example. But to drive home the point, I think the fact is that trying to identify intent of purchase from conversations is a very, very difficult task. I mean, we try to do sentiment analysis and that itself is very difficult. People say all sorts of things, you know. I am bored with a smiley. Would you classify that as positive or negative, right? So it's very, very interesting data, but it's very, very difficult to analyze. You talked about analyzing Facebook data. Yeah, you talked about analyzing Facebook data. So what are the analysis that you do? How different is it than what Facebook insight goes? So we do sentiment analysis like I just mentioned. So whether people are talking positive or negative about your brand, you also do text analytics. So we try to bubble up the topics that people can about and talk about your brand. And we also try to give an overall picture. So it's not just Facebook. We get your data from Twitter, from blogs, from review websites, from everywhere. So it's a comprehensive view of what's happening with your brand. Is it after the time? Do we have a real-time kind of analysis? Yeah, so it's near to real-time. We have a latency of five minutes with respect to Twitter and Facebook and 30 minutes with respect to blogs and other. Why? Oh, yeah. Presenting, do you use any specific tools for text analysis or real sentiment analysis? We have our own on-ground algorithms for sentiment. For text analytics, we use a bunch of natural-angle processing parsers, so which help us in passing text and trying to understand the syntactic structure behind the text. Are there any open source tools or starting tools? I think if you want it for commercial use, you still have to license it, but there is 10-fold parcel, which is quite popular. There used to be a parcel from Palo Alto Research Center Park, but I think now it's exclusively licensed to Microsoft. Yeah, adding to the last few questions, I just wanted to know, you mentioned that identifying the intent of the message in terms of conversation or whether the guy wants to buy a car or something like that. It's critical. So how do you rate the analysis of the semantic engine that you guys have been doing around? Because you mentioned that the statement that I am more of a smiley, that itself is difficult. So how exactly do you define algorithms to track such rules that come out of regular analysis? I believe my question is clear. So what you are asking is, how do you ensure that you are doing good analysis or right analysis, given how critical the data is? So I think that's a constant challenge. We always try to keep up with it. We always try to, so we use a lot of supervised algorithms. So we always try to train with more and more data. So I'll give you one example, machine translation. So translating from English to Arabic or English to Chinese was a big challenge. And there were companies which used to spend millions of dollars trying to perfect those techniques, trying to get that 1% increase in the accuracy of translation. And then one fine day Google came along and they changed the game. What they did was that through so much data I did, so much training data I did, that they basically knew all of the other guys out of water, right? So they took the 200 GB corpus of United Nations. So United Nations Charter is translated into 193 languages if I'm not wrong. So they took that corpus and they used MapReduce to train on that corpus. So there are two things we do there. One is we constantly refine our algorithms. The second thing we do is I think, again I'll refer back to the active learning that Lankata was talking about. So we do a lot of active learning. So let's say you are one of our customers and you find that the system rated a conversation is at the wrong sentiment. You can go and override it. And once you override it, the system learns from your input. No, if you are retraining the data over time, then you can definitely take that input. Exactly, so what we do is we retrain every month rather than every day.