Hey traders, this is Tosh, I go by T Bradley 90 in the My Investing Club chat, a general reminder for those who do not know, MIC is having a one-year anniversary event where Bao is going to be trading live in front of our members. It's coming up August 17th, mark your calendars. As an added benefit for our members, the event is 100% and exclusively free for annual and lifetime members. While lifetime on top of that, get extra coaching before the event and guaranteed front-row seating. While most charged for these events, we show our support by making it again free for annual and lifetime members. If you are interested in signing up for this event, DM T Bradley 90 in MIC Slack chat and or email myself at Tosh at myinvestingclub.com. Now we have a very special video for you guys today as Joe Kelly brings back his trading basics series every Sunday and this week is episode 29 and he's going to talk about grading your setups. And while this is just a preview of the full-length video, if you want to watch the full-length or any of our exclusive content, then become an MIC member. Alright, so let's jump into the grading scale. Not all of your setups or the setups you hear in MIC or from anyone else, any other guru out there, we don't all deserve the same grading system. What that means is that the same criteria does not matter for this setup that matters for this setup. It may, it may be a coincidence, but you need to test that and rule it out or rule in favor of it if it matters for the system.  So let's talk about making your own rating scale. So where you start to do this is one, you save screenshots of the charts with the dates and the tickers. These need to be memorable charts, memorable patterns, recurring patterns, or they could be fundamental patterns or fundamental characteristics that make these plays happen. It doesn't have to be small caps. It can be in any market. Screenshot, save it, record it. Or if you want to cut down your learning curve and you focus on small caps, you read the commentary from Modern Rock and Alex or AT09 and you take notes from what these guys are saying about these setups. You write down, they don't want to trade this because the float is under two million. And then maybe that becomes a criteria. Maybe one of your A plus criteria is float between greater than two million but less than 10 million. So this is what an A plus setup looks like for me. And it just so happens that one occurred today on June 28th, 2019. That happened to be CETX. Many of you are probably familiar with the pattern that I'm looking at here. And you need to take note of it. But I have five criteria for this pattern or five characteristics. This particular setup met all five characteristics. So I was not afraid to get short in this pattern in the morning time at all because my A plus setups, when all five criteria or characteristics are met, there is a 93.1% chance of me succeeding in the trade. So if you ask me, Joe, would you take a bet if you had nine out of 10 odds winning? Yeah, I would. Hey traders, this is Tosh. I go by T Bradley 90 in the My Investing Club chat. Just wanted to reach out and say, if you have any questions about MIC, joining MIC, maybe you're a member already. You have three ways to contact myself personally and through MIC. You can hit our social media. You can hit me through PMs in chat or you can contact us through my email at Tosh at MyInvestingClub.com. That's T-O-S-H at MyInvestingClub.com. I will get back to you in a timely manner. And I'm saying this because I'm here to help and I don't want anybody to be afraid to reach out and ask any question that they have. We are here for you guys. All right, see you guys.


Welcome to JSA TV where we're covering the latest stories, trends and innovations from leaders in global connectivity, digital infrastructure and the networks within. I'm Allison Wheelan coming to you live from Metro Connect USA 2024. And joining me is Hal Baylor from INOC. Hal, thank you so much for joining us. Thank you very much for having me. Of course. So for those who may not know, can you tell us a little bit about INOC? Sure. INOC has been providing outsourced knock services for the last 24 years, which is quite a while. That is a long time. In this industry very specifically. So we have extensive experience in the fiber market. Also work with data centers and content providers as well. So that's been our legacy and we're continuing with that and advancing our services and capabilities. Yeah, we were just saying in that 24 years you had the opportunity to kind of perfect the operation side of things, which is key to moving forward. Absolutely. Gathering best practices from lots of different companies and learning to make those very standardized and high quality of service.  I hear it might involve AI. Can you tell us a little bit about that? I can. AI has been bantered about by a lot of companies. A lot of people are getting into it, doing lots of different things with it. We've actually been working with AI for over three and a half years developing our operations platform around it. So we have an AI driven operations platform and it's the announcement was it's in the third iteration of that platform. So that platform is makes automation really work for operations, which is not something a lot of people talk about. But what it does is it automates the alarms that happen on a network and it creates a ticket automatically by doing a lot of correlation in the back end. So you get faster mean time to ticket or a time to ticket. And you also get faster mean time to repair because the analysis of what's broken doesn't have to be done by an engineer. It actually shows up in the ticket, which is really cool. Yeah. And so that's from the operation side. What about customers? How is this benefiting your customers? Well, so with that platform, we're going in and replacing a lot of human function, which is very prone to errors. And automating that. So that's really great. It also can communicate with customers of our fiber providers or data center providers. It can communicate with them instantly. So people know exactly what's going on before they even realize that there's a problem. Rather than in the old days, you know, we'd be looking at a screen hoping to catch an alarm. And then the customer is calling in the end customer is calling in and saying, hey, we have a problem.  Now it's they know and we know within 30 seconds. Yeah, very rapid. Fabulous. It is. And so we're really achieving things like auto resolution rate. That's another thing that we can do. We can actually do auto resolution for like priority three and four tickets. They get resolved without human intervention. We're seeing we have one OEM that we work for that provide services to lots of different companies. And we're seeing a 26% time to ticket increase in time to ticket, which is fabulous. Because again, we go from that manual correlation and understanding what's going on to the automation side. We're also seeing at another large OEM for their customers a 50% time to resolution improvement. And there are other statistics like that that it's just speeding things up and making things simpler and and very precise. Again, lots of our problems in the past were from human error. And we're getting around that by having everything show up in the ticket very accurately. We know exactly what to do and how to resolve the issue. That's great. Those are some very impressive stats. So I'm sure our viewers will want to learn more. Can you share how to get in contact with you or how to get in touch with the Inok team? Sure. Sure. Go to my LinkedIn profile or to my email address, which is hbaler at Inok.com. And have a LinkedIn address. And also our website is Inok.com. Pretty simple. Kind of like iPhone. Inok. Inok.com. All right, Hal, well, thank you so much for joining me. It was great getting to chat with you and learn a little bit more about Inok. And thank you to our viewers for tuning in. Until next time, happy networking. Thank you, Alison. Appreciate it.


We're gonna make pizza, but not just any pizza. We're gonna make a crust out of chicken. It's amazing Now here I have canned chicken then we're gonna add one egg some grated Parmesan cheese Tomato and some moth's basil. We also have pepperoni. First, we're gonna pulverize the chicken, okay? Now we're going to add an egg some Parmesan mix it all up Now some parchment paper put it into the center mash it into a circle Grab your trusty rolling pin Olive oil coming in Look at the crust. We're gonna crush some tomatoes over it.  There's no flour. Would you be able to tell?


Today we're making chicken cacciatore. Now this is an Italian dish that literally means chicken hunter So it's gonna have chicken in it. Sometimes they put rabbit in it, but we're doing chicken today And it's kind of like a stew if you're not familiar with it, but it can be served over pasta, rice, mashed potatoes, or if you want to go low-carb you can do zoodles, which is what I'm gonna do today and Or cauliflower rice or cauliflower mash. I'm gonna be cooking this in the instant pot So if you have one of those you can make it if you don't you can still make this dish easily Just by putting it on the stove and letting it simmer for just you know Maybe an hour So I'm rocking Robin, and I'm gonna show you how to make it right after my chef joke All right We're gonna start off here with chef joke number one and number two is gonna be a little bit later in the video So stay tuned. All right. So why did the duck cross the road? Because he wanted to prove that he wasn't chicken Okay, so just start off our recipe. I'm gonna be working on some of the vegetables that are going into this I'm gonna be using a little bit of onion celery and carrot and what that is is a Mirepoix and Mirepoix is a French term that means flavor base and this is how you get a lot of flavor into your recipes Now the chicken I recommend for using in this recipe is bone in skin on chicken thighs It's better than chicken breast because it doesn't dry out and I think it's just so much better So I'm gonna season these both sides with salt and pepper and The reason we want to use skin on if we can you don't have to but it just adds more flavors because that extra fat does add a Little more flavor and it helps to stick on the bottom of your pan And that's the fond that adds more flavor to the dish So fire up your cast iron pan over medium-high heat. We want this pan to be nice and hot Add a little bit of olive oil and then swirl it around so it coats the bottom of the pan Lay the five pieces in skin side down I'm gonna let these sear up for a good five minutes or until they're a nice golden brown This is how you want them to look After you cook these on the second side for about five minutes then go ahead and take them out and put them on a clean plate Turn the temperature to low and add a little bit of olive oil to the pan Now I want you to notice the brown bits stuck to the bottom of the pan. This is what we want. This is flavor Now to this we're gonna add our mirepoix or the carrots onion and celery So as we cook this the onions and carrots and celery you're gonna pick up all those brown bits And that's gonna really make them taste great. I'm also gonna add just a little touch of salt I'm gonna saute this for about ten eleven minutes or so And I'm gonna cover it because I want the heat to cook those carrots the steam So after about ten minutes or so we're gonna test these Take the lid off and give them a stir and then poke them with a fork Now that they're soft we can add some tomato paste and garlic Push the carrot mixture to the side and then lay the tomato paste right in the center So it's touching the pan This is gonna help create some nice caramelization and flavor to the dish Smash the tomato paste down to the bottom of the pan spread it out a little bit and let it caramelize like that for about a minute Give it a stir and let it cook for about another minute Okay, now I'm just gonna work it in And we're gonna add four cloves of garlic and we're gonna cook that for a minute Okay, next we're gonna add some red wine to deglaze the pan and then we'll let this cool so we can put it in the blender I'm using a Cabernet here, but feel free to use whatever you have Okay, we are ready. This is cooled enough.  I'm gonna add just a little bit more chicken broth to it Next up. I chopped up some baby bella mushrooms and we're gonna add that to the pot Next we're adding some fresh herbs from my garden and this makes it just Spectacular, so I'm gonna be using lots of fresh basil Rosemary and thyme chop it all up and then add it to the pan With the fresh thyme, you're just gonna peel off the petals and then chop those up I don't have fresh oregano growing in my garden, so we're gonna use dried here I'm gonna use about a teaspoon full For the rosemary I just tossed in the whole stem and I'll remove that before I serve it Now it's time to add the chicken, but before we do I'm gonna remove the skin Then I'll set the thighs right in the sauce Last I'm gonna add some black pitted olives We'll give this a little toss and then we're ready to cook it So we're gonna pressure cook this for about 15 minutes, and then we'll do a slow release for about 10 It's got to be that time for chef joke number two, right? All right, let's do it What sound does a negative rooster make? Cock-a-doodle don't All right, so I'm gonna take a warmed I have a warmed up cast iron pan here And I'm gonna pour the the mixture or scoop it in there so you can see it better It looks fantastic by the way This smells so delicious too So I'm gonna finish this up with a little garnish of fresh parsley and basil Now I'm just gonna roll and cut my basil so it's in nice small pieces So this garnish adds to the look of the dish and also adds more flavor Now I'm gonna serve this dish like I said earlier over some zoodles But you could do certainly mashed potatoes would be wonderful regular rice or you know for a low carb version You could do cauliflower rice or even cauliflower mash a Great recipe to serve with today's video are my garlic mashed potatoes with brown butter You're gonna love that click the link here on the screen go check it out You'll love having these for this dish and many others Thanks for watching today. If you enjoyed today's video, don't forget to subscribe and smash the like button to let me know All right, we'll see you back here next week for another rockin recipe


Now that you've had Traylon out on the field and he's stacking some days together, what are you seeing out of him that you're liking now that you actually get to work with him on the field in addition to the classroom? You know, I think he's done a great job of playing with speed and showing that he's willing to be physical in his approach. Anytime you get those kind of ingredients with a player, you can kind of build around that.  And I think he's kind of figuring out how he has to play at this level. And you know, because all these DBs are great athletes themselves, so very rarely you're just going to out-athletic somebody. It's going to be some fundamentals involved with that. And I think he's figuring that out. Absolutely, the physicality of it. And I think he's demonstrated that he can play through contact really well with that big body. He's got really good play strength, but I've been really happy with his ability to stress the field. You know, he shows an ability to be able to separate and take the top ball coverage, so that's best been good to see. Was he happy with maybe some of the progress you made to set him up for Canyon? You know, he did a great job of Frank and our strength lab did an outstanding job of getting him prepared. He just had to put the work in, and he did a great job of committing to that. And I think he's starting to see some of the results of how that's paying off for him. He's just a weekend. With the rookie, do you just have to stay on him, make sure they don't let up, no matter what kind of sex they may have? One thing I can say about him is he's really hard on himself. I haven't had to chase him around to do this, that, or the other. He showed some professional initiative, so that's been great. He's earned that right. He's come out here, he's made some plays.  He practices hard. He has a lot of the qualities that we thought he had when we drafted him. I think anytime you get hit with that kind of situation, the reality of what the NFL is kind of sets in. I think he just had to regroup, refocus himself, and I think he's done a great job of that. Maturity. He's a lot more mature than he was when he first got here, and that shows up in everything he does. Offset, what you want there is the technique. Well, at the end of the day, it's all about, in this league, it's about making plays. But also the flip side of that is the way you're consistent in making those plays is by the fundamentals that you have. So he's got some things he's continuing to work through. He's come a long way in that regard, and I think he understands that in order to survive in this league, there's a certain amount of professionalism you have to have to sustain the success that you need. I think he's figured that part out, and he's in for the battle of his life right now. Well, I think with the amount of, I don't want to say grabbing and holding, but the amount of physicality at the top of the routes, you have to play that way if you're going to be consistent in this league, but do it in a legal manner. And that's what we're trying to instill in these guys right now. But, you know, most of these big guys aren't going to outquick some of these smaller DBs, so you're going to have to win with the physicality at the top of the routes. Picking up on that, home for Abel says the first stand. Did he say that? Yeah, I'm joking. How much do you like that? How much have you seen it? All right, we love it.  That's that and the other. But, you know, at the end of the day, we tell these guys that it's about getting open. It's about creating separation. And sometimes, you know, that's the route you have to take to get that done. So, we relish in the fact that our head coach, you know, supports a physical style of play, if you would. He's playing with a lot of confidence. And I think the biggest thing that Racy has done is he's realized that, you know, not a whole bunch of 6-3, 230 pound receivers that can run 4-3, he's learned to play with that speed and really imposes will on defenders and he's reaping the rewards for that now. We're trailing birds. How have you seen them come along? Right. You know what? I think that the thing with Traylon is he actually had some of those traits. They just didn't ask him to do a bunch of that. So, we just kind of building on some of the things that he's, some of the abilities here already has. And he's done a great job of buying into that and really working on the fundamentals that come along with it. And, you know, he just has to continue to put the work in. What to say about him? That was his welcome to the NFL moment. You know what I mean? You know, every rookie is going to have that at some point. You know, unfortunately for him, it happened right out the gate. But he's done a great job of moving on and doing the things necessary to put himself in the best possible position to compete. He's in a football condition and he's in a routine that, you know, so when you put him in that environment, he just can pick right up where he left off. So, he came in, one thing about him, he's smart. He's willing to learn, he's putting in the work. So, the transition for him has been pretty good. What are you seeing from him on the field that might be able to help this preseason? He just comes out there every day, knows what to do. He's playing fast. He had an interception the other day. So, he's taking advantage of the opportunities. That's what we ask the guys do when they get a chance to get on the field.  He's been good. He's come in every day and work. He puts in the time. He wants to be great. He listens to the vets that help him out. He takes coaching. He rarely makes the same mistakes. He's competitive. He goes out there every day just trying to get better. That's what he's been doing. He said that he tries to match himself up a trailer. The two of them are kind of trying to do that. Do you guys encourage that? Absolutely. You want the guys going against the best guys out there. Him and Trailing goes out there and compete against each other and they go at it. It's been good to see you watch those guys compete every day in practice. There's a lot of youth. How are they pushing each other? Is there somebody standing out in that room to help point the way? Is it Maven or one of those older guys? I think all of those guys are just pushing each other because they know they all got a chance. You come out here, what about what you do each year you come in? We've got vets in the room as far as Byrd and Hooker. But at the corner spot we are young. But that's exciting because those guys are pushing each other every day and they're coming out here and making each other work to get better. We can't look poorly. He's so talented. So I know the expectations are high. But do you find yourself sometimes having to remind yourself that he's still brand new at the cornerback position? Well, I understand he didn't play his ton of ball last year and he was coming off the injury. But he understands what the expectations are and I'm going to keep him high on him and we're going to keep the expectations and standard high in the room. So he's coming out here working every day doing everything we actually are doing just working to continue to get better. Do you find yourself sometimes having to coach him when he has a tough day like he did on Tuesday? But that's part of the process. That's part of the learning deal. If you play this game long enough, you're going to have days where they don't go well. It's how you respond to those days and you don't continue to stack back days on top of each other. And when you come out here, we go in the film room. We go in the meeting room and we learn from it and we come out and get better for it. That's what it's all about. He talks now. He definitely talks. He's doing a good job. I mean, with the leadership, crossing the lines is what I'll say, meaning not only is he talking to the defense, but he's also giving the offensive guys pointers and the good players that I've been around. That's something that you don't coach them to do. They just do it naturally. And he's at that point right now. Where is the previews this year? Well, I mean, in really every aspect. I mean, in the run game and in rushing the passer. I mean, there's never... I remember when I went to Oakland and we had Richard Seymour, who was in his 12th year, and he was always trying to get better. So these guys don't. Just because you become a really good player, the good players are always trying to find ways to get better. So I would say in every aspect of his game, he's not a finished product and the good ones never become a finished product. So I think that's where Jeff is in his mind and that's where we are in our mind. And when a player has... Well, when your best players are the hardest workers, that's a good thing for the football team. And he comes out here and works as hard as anybody on this football field and that bleeds over to the rest of the guys. So it's a good thing. No, not really. I mean, when you have a veteran group or a young group, you're still working on fundamentals. Like, that doesn't change our individual periods. If you watch us now, you watch us four years ago, you watch me ten years ago, it's the same thing. We're working on hand placement fundamentals, working on getting on the edge of blockers and the rush using our hands and all of those things. So it is great to have a group of guys that have played and played for us, which is different than what we've had. So it's been good. Yeah, I don't know who they're going to play against because you just never know in the pre-season who's going to be out there. So the one approach we have is we don't focus on who we're playing against. We're focusing on us in the pre-season.  So whoever's lined up across from them, they just got to go play with hand placement fundamentals and execute the calls. Because we're not sitting up, diving into players, so it's a little bit different than when we play the Giants September 11th. The same sort of expectations? Well, I think the beautiful thing about hand in particular is the past is the past. Whatever you do here going forward, that's what you're going to be judged on. I mean, he's having a really good camp and he's been a guy that's had some ups and downs and all those things that he's been through. But really, today, as we go out here, August 4th, 5th, or whatever the day is, he's competing and battling and doing the things that we ask him to do. So I'm excited about Deshaun Hanne. Flexibility, playing multiple positions being able to rush, play the run, doing all of those things. So I'm excited about him. He's done good, but he's also a rookie. Whether you're a first round pick or an undrafted free agent, it's just different. And the closer you get them to the football, and nose tackle, outside line, the closer they get to the football, the harder it is for them because everything just happens so fast for those guys. So he's progressing, but we've been in this situation before with Naikwon and Tarte and all of those guys where if they're ready, they're ready. If they're not, we just keep on focusing on developing them. But he's doing a good job for us now. Energy, effort, being able to play multiple positions. He can rush, he can play the run. So he's been good for us and he's a good leader. How competitive? Very competitive. They're competitive with those guys. I think everybody assumes that what happened last year is going to happen the next year. And I've been in this league long enough to know that it's a proven league. And so whatever you did the year before has nothing to do with the next year. So it's competitive with the other guys, but it's also competitive with those two guys. So...


The need is massive now. It's hard to overstate how many people are in dire need. And really, literally the Calvary is coming. We also have several ground crews that have high water vehicles to go in and rescue people that are stranded and that are in need of assistance.


Live from New York, extracting the signal from the noise. It's the Cube, covering Spark Summit East, brought to you by Spark Summit. Now your hosts, Jeff Frick and George Gilbert. Hey, welcome back everybody. We are live in Midtown Manhattan at Spark Summit East 2016. Spark is the latest, newest, greatest thing in big data. So we wanted to get out. It's our first Spark Summit. Actually, we did a little fly-by last year. So we're excited to be really where the epicenter of big data shows is in the East Coast, the Hilton Midtown. And George Gilbert from Wikibon, who's joining me for this next segment. Good to see you, George. And it's good to be here. And we have one of the new and giant entrants to the big data stage, SAP, in the form of Ken Sye, who is VP of Data Management and Cloud Platform. So Ken, tell us a little bit about how SAP was among the first, if not the first major vendor, to the in-memory transaction processing database space and then how the strategy evolved, the product strategy evolved to handle big data, especially what now people collect in Hadoop. Right. And I think that's a great question, great setting. And I think, well, the commentary will kind of illustrate really the need for a company who are kind of just specifically focusing on big data and also SAP, company like SAP, who has been doing real-time enterprise for quite some time to work a lot more cohesively together. So SAP, as most people know, that we have been in the business, a real-time business solution for the last 40 years. R3, the R stands for real-time. Throughout the years, we kind of shifted through different, I would say, data computing platform, all the way from mainframe to client server in the last 15 years into in-memory computing. I would say that with the entrance of SAP HANA into the marketplace in five years ago, we have really kind of defined and shepherd the in-memory computing edge to the enterprise application, in-rise computing workflow. And while HANA was created and to kind of dispel some of the prevailing notion, it was more than just accelerating analytics and putting in memory. You obviously can do that. And frankly, why SAP was innovating in this space for 15 years ago was already doing that. We figure out a way to accelerate reporting by caching data directly in data cache. But what HANA was aimed to do was to completely simplify a modern application architecture where some of the redundancies as application developers that we have to go through, we can completely eliminate, such as the need to build materialized aggregates. Now, the system becomes interactive and we can deliver new capabilities into the end user building to ERP. That wasn't possible before. Let me just interrupt you for a second. For our viewers who may not know the SAP sort of schema, just give us a refresher actually for the database question, materialized aggregates and how much of the underpinning of SAP those form. And I think this is not just true within ERP, but if you take any information processing system, any enterprise that needs to go through, it's very typical. And I use this example in the keynote this morning, just post an invoice. Whether you do an ERP or not, there is a interaction, right? You have to post a journal entry. You have to typically an ERP system and there is an aggregation and summarization of that invoice amount into different factors and dimensions that the company needs to report into. There's a summation and a total. That probably needs to be pre-calculated because as financial accountant, you want to know what it is. There's index and there's a different assertion. There's a lot of different backend processing that needs to happen to make the system interactive. SAP ERP was built that way, right? It was architected that way because the latency involved in pulling the data and doing it on the fly was too long, right? And enter HANA, right? And HANA and the example I show, we were able to reduce the number of tables that touches the invoice from 15 all the way down to four because these just keep the rawest form of information. And then you leverage the power in memory computing like HANA to dynamically create the summarization view that you want to see, right? And that's kind of where we shepherd into the eight, what I call the H, the age of the real-time computing, right? The true real real. So as you said, R3 and R2 were meant to be real-time system two and real-time system three. Tell us beyond just summarizing like an invoice or whatever, tell us what's possible now when you don't have to sort of pre-compute things, but that when you make a transaction, you can ask questions interactively, what's possible? Yeah, so I think one of the holy grail and ask business, owner always wanted to do is do simulation, right? The ability of asking multiple what if, and then settle on what actually it's the most optimal scenario I want to do, right? Take a simulation, the forecast. What is my revenue forecast, right? What is actually projected revenue? When I close my book right now, based on real-time data, can I actually have multiple versions of these forecasts based on the way I want to organize my company or organize my data structure. These, you can take that example and multiply it in different line of business, right? That's kind of the really the possibility of what a real-time business should be able to deliver. And we have been hampered by really inability to tap into what the computing infrastructure and what the software instruction platform was able to deliver. So HANA kind of solved that. We kind of simplified it. We changed the game with that. And that's why HANA has been so successful in the marketplace for five years, right? But maybe to your original questions, why didn't we stop there, right? Why didn't we put HANA and use it for big data? We do, right? HANA is a multi-data processing engine, right? Can support our structure data, natural language processing, all the different things. But the reality of what the customer are facing today is big data is everywhere. It's not one large cluster, right? Cons are the days of putting every single centralized. I understand everything and I give the results or understanding the big data signal that I can take your action on. Now, with advanced of the IOT, let's say advanced of digital business where everything that a company offer can be a service. We call it everything as a service, right? Now, everything involving that process is digitized in some sort of data form. You have to track it. You don't need to understand it. And that's why big data is literally around everywhere. Multiple way of managing these type of large data clusters. And so from the data processing point of view and what needs to happen is we need to help the business establish what we call a very easy to use data, end-to-end data processing framework across multiple of these computing landscape. Whether you're running enterprise computing workload like S4HANA ERP or massively distributed computing workload like just a data lake that you want to do some data exploration. You should have a framework that actually connect that together. And that's really the reason why SAP HANA Bora was born and why we launched the product. We saw the need in this area and we wanted to actively work with the community and kind of bridge these two worlds together, the distributed computing world and the enterprise computing world.  You've got a lot of the core data, right? That everybody wants to get access to. On the other hand, as an incumbent, you have that legacy. Talk about the change really in strategy inside of SAP to deliver value to your customers as the sources of data, the sources of input have gone beyond what was really a closed ERP system and now they want to aggregate all kinds of stuff that falls outside of what traditionally was held inside of a controlled system. So one of the statistics that I think SAP internally says that 74% of the world's transaction revenue run through a SAP system in some way, right? It does mean that a lot of transactions that touch money, right? Revenue costs anything. There's a lot of value in terms of exposing that into other workflow, right? Whether data science exploratory workflow or other way to consume that. And in this day and age where business are being digitized, right? And every element of the business processes should be available as a services. SAP needs to have stands in the position to actually offer that more broadly to the entire customer and their business network. And I think that's kind of the reflect your original question, the change of strategy. This is absolutely critical for SAP to help customers successful. That we want to expose the ERP system. Now running completely in HANA, right? That all the information around the business, core business policy can be exposed as let's say a service element that someone can consume, interact with. So let's talk about now all the data that might surround the core business system that beyond SAP and how Vora helps access that data and then tie it into the, you know, back to Spark where we have this new unified sort of compute engine for processing data in sort of any and all frameworks. How does that all fit together? So just take the one of the customer example that we have, I think that will illustrate this knee very clearly, guys. One of the use case that we're currently working for SAP HANA of Vora is in the airline industries where they invested in all these telemetry information directly in the plane itself, right? And the whole idea was kind of reading these telemetry information and understanding the insides of it, understand the threshold of it and you can actually determine a preventive maintenance schedule. But what the customer actually wanted to do is move way beyond that because that only gives you a signal in terms of what needs to be done. What actually has a direct financial cost is can you actually take that early signal and put it in what we call the MRO process in the ERP, maintenance, repair and overall because you have to line up all the experts who can maintain their airplane, right? Line up the spare part, line up the equipment, all that takes the scheduling process and now you're kind of taking big data inside, make it very actionable in the process itself, right? And to the airlines, there's a very direct financial impact because to them every hour of delay represents $10,000 cost, right? So now you see the value of some of these big data insights move, you know, rather than kind of staying in one silo when it's embedded into the core business process what a company runs. Now you're actually getting some very direct benefit. I was going to say, just the whole internet of things you guys must be so excited to have this completely different set of data inputs now, tangential to the core business applications that can now drive business behavior, business decisions and tie it directly back to financial impact. Yes, and I think that we're definitely in the golden age of data, right? Where data is the currency of everything. Data doesn't come from transaction system anymore, it can come from products, right? And user interacting with the product, from sensory information that we sell directly to the customers, right? In the customer and the partner, how they feedback even potentially from social media, that understanding and tapping into the richness of it and taking that and embed it into the business process that we eventually want to deliver. Really is the vision that we're trying to deliver. How many integration points are there like done and then on the roadmap for things like taking predictive maintenance and putting it, embedding it in the MRO workflow? That's an amazing example. Yeah, so I think you're asking about some of the specific use cases where we can apply this type of technology, bring let's say ERP data and these amazing surrounding contextual information, right? To enrich the entire decision-making process. And our hope is to help the business owner make better decision and also potentially to automate the process underneath. So decision can be made automatically. Now, we are definitely in the process defining a lot of these different use cases and you know that in SAP, we have very deep industry knowledge across 25 industries in line of business, right? So literally in every single industry, we have a concerted effort defining what we are doing in those industries to bring the value of, we call it, completely distributed big data that you collect either from IOT or from any other source married with the corporate data and the business data. And then you clean the right insight and you automate, take the business process, do you have, is there like a roadmap of like, well we have a dozen now, we're going to have two dozen over the next, two dozen more over the next year. Yeah, that's a good question. Right now we don't have one, but maybe it's something that we have to internally think through, right? What we have done on the roadmap side is more on delivering horizontal capability roadmap, right? As we want to aggressively build all the capability as they be HANA-VORA to kind of really fulfill the vision of the complete digital enterprise for our customers, that's very, very critical. And there is very, I would say right now, very IT specific type of scenarios that we see the application of VORA, right? And we're riding on Apache Spark and working in conjunction with HANA, right? Tell us the spark tie-in, is spark the preferred sort of execution engine on top of VORA? I think really due to the adoption and maturity of Apache Spark, as you can see in today's event, it is definitely the execution engine that VORA actually leverages to do distributed computing. Now, who knows what the future will hold? This is a very rapidly evolving area. So VORA talks to Spark, which talks to Hadoop? Is that how, okay? Yeah, in a kind of logical type of thinking that is the way to think of it. But VORA itself is a memory computing engine, right? It took the best of what SAP HANA has to offer. Really the very, what we wanted to do was very simply, VORA, the promise of VORA was to deliver this whole HANA-like experience, right? But on the big data set, but also give it real strong, deep, business semantic understanding. So that when you actually harvest these data that may be on structure or sensory information, there is a rationalization for the business audience to take some action on it. That's really the purpose of why VORA is there. Now, there's always going to be foundational component technology like Apache Spark, who has been really great and then really kind of softening a lot of, I would say, distributed query processing workloads. We'll continue to write that wave and continue to make it more robust. But we'll, just like VORA did in version one, we have been really aggressively adding capability that the core business audience actually need, that are just missing in Spark environment as extension. That's why we plug into the Spark environment and we try to make it more robust for enterprise workload. So we're in the platform hardening mode before we get into the vertical applications. Yeah, okay. Yeah, well that's great. Well Ken, unfortunately we're out of time, but a lot of excitement happening at SAP, leveraging these new technologies, leveraging open source, kind of opening up, which you guys have so much of the core information with really a different way of looking at the world as well as being able to bring in a whole new set of information to drive your engines. Yeah, I think so. I think this is definitely exciting time, not just for SAP. We certainly, we are a very major participant, right? Just because the workload and the solution set that we deliver to all our customers. But I like to tell the community here, also the people here, right? Collectively, these are our joint customers. The way that we are solving joint leave for our customer is a next generation problem. How to actually build a foundational data processing framework that will be massively distributed across multiple different computing clusters. How do we deliver that insight to the customer that they take business action? That will not change. It's up for us to figure out how to do it. All about solutions, right? It's all about solving business problems. Talk about tech. George likes to talk about tech, but at the end of the day, are we solving business problems? So Ken again, thanks for stopping by theCUBE. I'm Jeff Frick with George Gilbert. We are live in Midtown Manhattan at Spark Summit East. We'll be back with our next segment after this short break. Thanks for watching.