Good morning. Welcome to CMC markets on Friday the 24th of June and this quick look at the week ahead beginning the 27th of June With me Michael Euston Before I do that just go through a couple of risk warnings And I think it's also important to mention that I will be out of the office away from my desk For the next couple of weeks. So not only will I be previewing the week ahead But I'll also be having a quick look of the week ahead beginning the 4th of July as well where we have couple of Very important data items, which will probably be worth having a quick glance over over the course of The next 20 to 30 minutes namely non-farm payrolls The RBA rate meeting and obviously the latest Fed minutes We'll also be heading into July and we'll be getting the beginning of US earning season and that traditionally kicks off with US bank earnings, but I'll hopefully preview them in a couple of weeks time, but More broadly, I think it's important to get a quick look at The events that are coming up next week but more importantly, I think in terms of What's been happening over the course of the past few days where we've seen further weakness in US equity markets and that Sorry in in European markets rather Not so much US equity markets, but we've certainly seen More weakness in European markets, which looks set to close lower for the third week in a row and I think that's I think there's no better illustrated In the context of the the DAX where we've seen three successive weeks of declines also seen three successive weeks of declines in the FTSE 100 as well and a large part of the reason for the declines that we've been seeing in equity markets more broadly as I think we've been seeing Increasing concerns that particularly in France and Germany their economies could well be sliding into recession After the recent June flash PMI slowed more than expected Well, we're also seeing I think and this is probably more important in the wider scheme of things is We've been seeing significant weakness in commodity prices and that is upending the bond markets it's upending the bond markets in terms of Raid expectations because I think if we look at the way bond markets have behaved over the course of the past Few days. We've seen a big decline in bond yields, particularly if you look at say for example German 10 year This is the weekly chart We've seen potentially bearish in gulfing week and that I think is really begging the question Have we seen the top? When it comes to bond prices bond yields more broadly because I think if we look at the jet the US 10 year We've seen a similar Narrative play out and I think this this I think this this feeds into a Couple of things obviously rate hike expectations The US CPI number from a couple of weeks ago, which came in at 8.6 percent The narrative that followed from that that we were going to see a much more aggressive federal reserve When it comes to hiking interest rates 75 basis points, which we've already seen another 75 basis point rate hike Pricing in in July a 50 basis point rate hike in September The fact that we've got some very important inflation data coming out over the course of the next couple of weeks Namely US core PCI. I think it was very interesting that the Fed aggressively pivoted During the blackout period from a 50 basis point rate hike in June to actually hiking by 75 basis points obviously the We will obviously seen a big decline in consumer confidence Michigan consumer confidence the increase in inflation expectations there the fact that Other inflation measures in the US economy are starting to show evidence of a little bit of a slowdown and has actually the Fed overreacted to one rogue CPI print In June if we look at the core PCI numbers that are due out in the coming week Could we see a further softening? In the numbers for May that we've seen Since the February peak of five point three in February we fell to four point nine percent in April It's been a similar story in core PCI, which is lit back to six point three percent in April from six point six in March We're expecting to see a decline in May to four point eight in the deflator Could we see a further decline away from six point three in April to maybe a number closer to six percent? You know, what is this shift? That we've been seeing in commodity prices tell us About the rate outlook going forward bond markets are pricing in the fact that we potentially peaked in the US 10 year at three and a half percent We've come off quite aggressively in the past few days to three percent So is the inflation narrative? The market's been pricing in starting to shift Towards the recession narrative and our bond markets starting to price that You know, and I think that's I think one I think that's one of the big I think that's one of the big moves that we've seen over the past few days is market sentiment shifting towards less of fear of overly aggressive rate hikes to Our markets now starting the price an economic slowdown because if whether you look at the US 10 year Whether you look at the German 10 year or whether you look at the UK guilt yield They're all telling me the same thing that potentially yields a peak. So what does that mean for equity markets more broadly? Well, I think that is the big question and if we look at the DAX here, yeah We've broken the downtrend line But what's important to note is that we actually haven't taken out the lows that we saw back in March So could we be starting to build a little bit of a base? Perhaps for a rebound or perhaps just a continuation of the range trading that we've been in over the course of the past few months my immediate reaction is perhaps the As long as we hold above the lows of The last few months then we're likely to continue to see a continuation of the range trading now obviously The elephant in the room is obviously the impact of energy prices going forward when it comes to European economy because certainly I think in terms of their exposure to Russian gas if Putin decides to cut off the gas to Europe and particularly and particularly Germany and any spillover effects from that Then all bets are off when it comes to say for example European equity markets If we look at a footsie 100 again, we've seen a significant decline over the course of the past few weeks But despite the decline in oil prices, we actually haven't taken out the lows of earlier This year again, we've been trading very much in an overall range Or be it towards the downside over the course of the past three weeks So the story is fairly similar I think in terms of the way equity markets in Europe have been trading been trading within an overall range since March May March March May whatever top and around 14,800 bottom in and around these sorts of areas here Has the narrative really shifted when it comes to the s&p 500 well I think certainly if we look at the daily chart Yeah, we've broken Below the previous lows. We've made a marginal new 15 month low We're now currently trading back above 3800 the bigger question for me I think is whether or not we are able to make those gains stick the gains that we've seen this week I think that's the bigger question I think what we're seeing at the moment There's a little bit of a bid coming back into US markets on the back of the softening in US Treasury yields if that continues then I think it's likely that we could see further gains the big I think the big level on the US 10 year is 3% if we drop below 3% You could see further gains in US equity markets. Are we the are we there yet? It's hard to say because I think While you can create a narrative for weaker commodity prices and particularly copper prices And we've seen that this week. Can you really can you really define a narrative? For weaker oil prices, and I'm not sure you can Simply because of the fact that demand is likely to remain fairly strong But if you look at copper, there's been a definitive breakout here And I think there's a potential for further losses towards $3 and this level here Why because we've broken out of this sideways trading range We've broken out of it quite nicely this trend line here And I think as long as we stay below 400 or $4 Then we could well see further losses back to 350 initially, which is these series of lows through here I think this is largely because of concerns about China's economy over the course of the next two to three quarters q2 I think is going to be a disaster When it comes to Chinese second-quarter GDP those numbers will be coming through in July in the week beginning the 11th of July I'll cover them in a subsequent video But ultimately I think what we're seeing here is a little bit of softness in commodity prices and more broadly I think the biggest the bigger test will be whether or not Brent prices are able to head back towards a hundred dollars barrel I'm not overly convinced about that and I think that more than anything is likely to define the of inflation narrative when it comes to persistence over Transitive and I think that's I think I think that's going to be the key test going forward how persistent will The Slowdown inflation be when it comes to energy prices, and I'm not convinced that there will be the significant level of slowdown that we'd like to see That would prompt further declines in bond yields, but having said that certainly in terms of the charting The the bearish weekly reversals that we've seen in the German 10 year It does suggest that we may have peaked when it comes to German 10 year yields And certainly the ECB while it's likely to hike by 25 basis points in July The bigger question will be whether or not can it can do any more than that Over the course of the next few months particularly as winter approaches and obviously gas supply Will be a much more hot-button issue when it comes to the German economy So in terms of looking for the week ahead We've got EU CPI Which is due out on the 1st of July and that's likely to See a move up from a record high of 8.1 percent to 8.3 percent So that will certainly keep the narrative for a much more aggressive ECB at the July meeting. We're already seeing a number of policymakers talking about a 25 basis point rate hike in July, but it's 50 basis point rate hike in September We'll also get details of a new policy tool Which will deal with fragmentation risks spread differentials at the July meeting again I will cover that That's a later point in time And obviously we will also be seeing final first quarter GDP numbers on the 29th of June But again, they're not going to tell us anything. We don't already know the first quarter contraction for the US economy I think the bigger question for the US economy is whether or not Q2 sees any sort of Growth at all and the and the bigger question is the US economy already in a technical Recession because while we know that the first quarter numbers Were actually skewed by the fact that we saw a big negative trade component Will Q2 signal stagnation or Will the US economy just avoid a technical recession when it comes to publish its Q2 numbers Towards the end of July What does that mean for euro dollar? Well, certainly the chart here speaks for itself 106 continues to cap has capped for the past few days 50 day moving average. We've got this trend line from the highs this year So I think any move above 106 30 is likely to trigger a potential short covering move to 108 But looking at the key level, it still remains 103 40 on the downside That's the barrier to a move towards parity Whereas a move above 106 could well trigger a few few stop-loss buys up towards 108 And obviously the previous peaks that we saw back at the end of May beginning of June in terms of Cable cables looking like a little bit of a disaster at the moment But one thing that I am drawing comfort from is these long shadows on the daily candles We still got really solid support at around about 119 80 And that's going to be a key level Over the course of the next few days if we can hold above that then we could we'll see a move back towards 124 and then 124 50, but I think the key level for me is going to be the 50 day moving average at the moment We're trading sideways. It's very uncertain in terms of the overall wider scheme of things where cable goes to next Big resistance around about 123 20 123 30 So keep keep an eye on that for a move back towards 124 and a half if we fall below 119 80 then all bets are off. We're looking at a move towards 115 Dolly end does appear to be showing Some signs of potentially topping out seen a little bit of a reversal over the course of the past few days That's largely as a result of the decline in US yields if the decline in US yields continues Then we could we'll see further declines in Dolly end But that's very much. I think I play on the yield differentials between US yields and Japanese yields 132 I think is a big support area there 131 80 132 50 But if we look at the weekly chart on Dolly end, it's not particularly Conclusive when it comes to a potential top But certainly I think momentum does appear to be starting to fade away And how we react on any pullback towards 136 I think will be key in terms of all in terms of the overall wider direction when it comes to Dolly end in terms of What I'm looking at over the course of the next few days in terms of earnings. We've got Nike Q4 numbers They're really the only only numbers of note out of the US ahead of the the 4th of July holiday in terms of Data in the week beginning the 4th of July we got non-farm payrolls for June They're probably going to be less of a concern unless we start to see a significant slowdown in employment trends certainly if we look at the ADP number for May that did slow to 128,000 and that was the weakest number since December 2020 So even though the non-farm the equivalent non-farm payrolls numbers for May came in at around about 390,000 If we see a significant slowdown from that to anything below 300,000 to around 100,000 you're going to get questions asked about how long before we start to see a negative print Certainly don't think we're there yet not with vacancy rates still in excess of 11 million 11 million But certainly the unemployment rate is at 3.6 percent Wages data still continues to remain fairly subdued around about 5.1 so again there keep an eye out for that when it comes to non-farm payrolls on the 8th of July We've also got the RBA Rate hike expectations there are going to be particularly interesting Given the fact the RBNZ is very much on a tightening cycle And perhaps if we look at Aussie dollar in the confines of this particular chart here Then perhaps we could well be near a short-term base on that If we draw a little bit of a horizontal line through there Through this this low here. We've got 6840 so 68 cents on the downside on the Aussie dollar Could we see a hawkish a much more hawkish than expected RBA as we look ahead for the 5th of July? The RBA caught few people on the hot with their 50 basis point rate hike in June. I Was actually thinking that they would go by 50 basis points in June I think it's nailed on they'll do another 50 basis points at least That they're July meeting Certainly, I think if they're looking to play catch up With the RBNZ they could go even harder than that and could actually go to perhaps 65 basis points to push the headline rate up from 0.85 which is that which it is at the moment to 1.5 percent a nice round number because 50 basis points will only take you to 1.35 percent So given the increased hawkishness of various central banks If you're going to tighten hard and tighten early Then you might necessarily go by not You won't necessarily go by 50 basis points You could actually go by more than that. So I wouldn't rule out the RBA going by 65 in July To 1.5 percent Rather than the 50 basis points that markets are starting to price in we've also got fed minutes the week beginning The fourth of july on the 6th of july and I think The sudden shift in the federal reserve's thinking in the wake of the may cpi number It's likely to be revealed in terms of the overall discussions as why they decided to do that I mean, we pretty much know why they decided to do that They were spooked by the big jump in the michigan consumer confidence inflation expectations numbers Because it certainly wasn't down to just one cpi print of 8.6 percent The decision to hike rates was unanimous almost unanimous. There was one exception So it'll be interesting to understand the dynamics behind that And shift the guidance to a much more aggressive stance Personally, I think the Fed was slightly premature in shifting They could have easily gone by 50 In june and said they were going to go by 75 in july and 75 in september That would have shifted the guidance expectations In pretty much the same way. They didn't do that. They threw their guidance playbook out the window So it'll be interesting to see what the tradeoffs of there were there with respect to that In terms of the overall earnings picture for that week There's not really that much in substantive in the context Of us earnings, but we do have first quarter earnings numbers from sainsbury's And they'll be interesting in the context of the numbers that we saw from test goes Which saw a significant decline in the first quarter of one and a half percent like for like sales Will we see a similar decline in sainsbury's first quarter numbers and obviously house builders? We've got person and second quarter numbers. We've got curries full year numbers on what have you for that particular quarter so I think that's pretty much it for This particular week ladies and gentlemen, as I say, I've tried to cram in as much as possible For the week the full week that i'm away But also for the upcoming week. It's certainly going to be a disappointing quarter For equity markets q2. I had a really fairly decent q1 We've had a disappointing q2 as this will be my last video for June and also the wider quarter. So as we look ahead to q3 Let's hope for better fortunes in q3. Certainly. I think to summarize We've seen a big decline in yields over the course of the past few days Is that A canary in the coal mine for further declines in yields in q3 and potentially a much more resilient outlook for equity markets more broadly I'll leave that with you and wish you all a nice weekend and speak to you all in a couple of weeks time


Soldiers from 3rd Battalion, 15th Infantry Regiment and Lithuanian soldiers from the Iron Wolf Brigade shared their knowledge of marksmanship with Ukrainian soldiers at the International Peacekeeping and Security Center. Staff Sergeant Dustin Mason says everyone involved takes something away from this training. We share war stories and, you know, swapping stories and learning about their experiences on the front, as well as their learning from our experiences in Iraq and Afghanistan. So yeah, it's a pretty mutual learning experience for both parties involved. Lithuanian Captain Almenes Seneivichus says the multinational training is helping build toward the future. We're working interoperability with the U.S. guys and with the Ukrainians. So we help Ukrainians to build the POIs, to build programs, standards, training, procedures for all the training. So we're working like, also there's Canadians, the U.K., so we're all NATO, all in one. Reporting from Ukraine, Army Staff Sergeant Jonathan Norris.


April is Sexual Assault Prevention and Response Month, but anytime, whatever month, it's important to know that chaplains are ready to provide confidential care. If you have experienced sexual assault, chaplains will walk alongside you in your journey from victim to survivor. Chaplains want you to know that your life and future matter. Talk to a chaplain. Whoever you are, we want to help you not just live, but thrive.


So this is a V-CAN-C, and you make an optical fingerprint sensor, and this is it right here, it's your product. So do you sell this sensor? Yes, we manufacture and design to sell it. So what's special about your sensor? Well this sensor is unique because it's the first optical fingerprint sensor that's suitable for embedded devices. Usually optical fingerprint sensors are used for high security applications like border crossings. But they're so large, they don't fit into embedded devices like phones or tablets. So right now in iPhones and Huawei Mate for example and some other, what are they using? What's different between yours and this? So this technology is called capacitance, and it's the same kind of technology that's been used for computers for many years. Capacitance? Is it capacitance? Yes, capacitive sensors. So like a capacitive touch screen similar? Yes, it's sending a little bit of electricity into your finger and it's measuring the time it takes to receive that information back and building a fingerprint. But your sensor is much more precise, like a 2,000 ppi, what is an iPhone or a tablet? So generally capacitive sensors can exceed 500 ppi. So this is four times better? Correct. And so what's the disadvantage also, is it easier to fake this one or? Well, at the resolution of the sensors it is not difficult to bypass it using a fake fingerprint. So this is like a print of your fingerprint or something? This is the print of the same finger right here.  Well, yes. I can just store it. Put it here and it opens it up just like it would with my finger. Alright. So this could go also in smartphones and tablets? Where can it go? Of course. It's primarily for embedded devices like tablets, certainly smartphones, computers. But other things like cars, industrial machines can also accept this kind of fingerprint scanner. So 2,000 ppi, more details, you have third level, what does that mean, third level feature detection? Yes, third level means that we see things like sweat pores. We see things like the shape and the thickness and thinness of the ridge. When you talk about fingerprint, the first level is the pattern, is it a whirl or a loop or an arch? The second level is minutia, where the fingerprint lines start and stop and split. But in mobile devices, the sensors are so small, it's hard to capture enough of those second level or minutia details. And that's why we can, with relative ease, bypass the security with a fake fingerprint. And so are you already in some products or what are you showing me here, what is this? So this is our development board that we provide to customers evaluating our technology, looking to embed it in their system. How it works is simply placing the finger on and then as you can see on the screen, we're capturing these third level details. So even though it's a small area sensor, there's so much information, we can make very accurate identifications. Even if someone were to try and use a fake fingerprint, even a amputated finger or a person that's not living is detected by this kind of system. Really? So all these stuff from the movies are not possible anymore? Well, I won't say not possible, but we're certainly making it more difficult. So how much more difficult? Just only four times more difficult or like exponentially more secure? Well, I don't know how to quantify that, but I can say the ability to penetrate our system with a fake fingerprint is quite different. It's not easy to make a mold and have all of the small features and have that transferred to some sort of material like a rubber compound and then have our sensor accepted. Would it make sense to, like in some movies, they also detect the temperature, sweat, some other stuff, heartbeats or doesn't make sense? Oh, of course. As an optical sensor, we're also able to do things like measure O2, different things inside the blood. When you go to the doctor, they measure your blood with optical sensors. At this time, though, we're focused on providing our fingerprint recognition. In the future, as our customer requirements grow, we certainly can add this incredible technology. So you say it's incredible, it's ready? Since when are you showing this? Well, we were sort of working undercover almost for a year. We filed our patents, made our prototypes and then we raised our first round of capital. And in January of this year, we launched ourselves at CES and at that time, many famous companies learned about us and we were able to share our technology with them, get their feedback and move toward commercial relationships. Where are you based? Well, we have offices in Beijing and New York City. All right, New York City and so soon we'll have this in right here. Another interesting advantage of our system is that it can go underneath the glass of the device. So you don't need to cut a hole. It means that if your finger is wet or dry, it has no material difference on the outcome of the identification and it also allows for some really cool new industrial designs. Nice. So optical, fingerprint, security, it's really cool. How about the price? It sounds like it could be more expensive. No, it's actually a very simple design. It's a CMOS imager, a camera imager, and it sits inside of a device so that the price will be equal or even less than the existing capacitance sensors that OEMs are priced. No, not more. And just much more precision so everybody should use it. Well, there's also the advantage that a manufacturer doesn't have the cost of cutting a hole in the screen, having to use things like glass to cover the sensor. So we think that there can be an overall economy. Nice. So that's awesome. And all these other kinds of sensors that you were talking about, it's maybe generation two. When you want to have temperature, humidity, all that stuff, it's compatible. I would call that generation three. I would say the generation one embedded device sensors are the capacitance type of sensors. We represent, in my opinion, the first of the generation two. The capacitance technology has been around for 10 years. We're very new, bringing the optical fingerprint sensing. And then generation three may be just like you said, where you combine other modalities like O2 sensing or thermal sensing to even do more checks on liveness. And can you also do swiping to the next picture, that kind of gesture sensing? Yeah, that's a good question. At this time, we haven't really put much thought into it, but our sensor reacts so fast to the touch. That can be used to replace a mechanical button. So for example, you touch the sensor to go home, but if you leave your fingerprint there, it'll capture that image and authenticate it for some purpose like maybe a transaction or opening an app.


Hi, I'm George Kow and today I am joined by Padma Gordon. We're going to be talking about how do we live a more conscious and aware life using our body as our ally. Padma, great to have you join me. Thank you so much, George. It's great to be here with you. Yeah. So I'm going to read your bio for the audience and then we'll get into this conversation. I'm looking forward to it.  Padma has been assisting people on their evolutionary journeys for over 25 years. She teaches people the physical, mental and energetic mechanics of being present through a mindfulness based somatic practice. And I will put the links to Padma's website, Facebook page, et cetera, on the links associated with this video. So be sure to take a look at her content and their offerings. So, all right Padma, this is great. You have so much to share with us and where should we start? Okay. Thank you, George. You know what I like to start with is just a moment of silence, a moment of silence and just because part of how we get present in our bodies is we pause and we bring the fullness of our attention to ourselves. So that's what I'd like to do to begin. So you'd be willing to close your eyes. I'll close my eyes for a moment. And let's just take a few nice deep breaths. It's simple. As you're breathing, you might notice that your attention is starting to slow down. And maybe it supports you in arriving here in this moment. Just letting everything settle, feeling how you're sitting, your seat in your chair. And maybe you'll notice that the body can start to relax in places where you didn't even realize you were holding tension and begin to soften, begin to let go just by virtue of bringing your awareness to yourself and into your body. Just as an experiment, just maybe sense the beat of your heart. Your heart is beating. Notice the tempo of your heartbeat. And then perhaps as you notice your heartbeat, you can also notice some other sensation in the palms of your hands. Could be anything tingling or pulsing, warmth or coolness. And taking another big breath. And just notice yourself for one more moment. Notice the effect of taking a little bit of time to notice what's happening in your body to notice the sensations. And then as you're ready, you can gently let the eyes open and receive the light and the shapes and colors. And so what I've just introduced you to is something that's called sensation tracking. And it's a way of coming into your body, coming in to the present and noticing what's actually happening here. Because when we notice what's happening in our bodies, we're actually present. And we can notice when we're, you know, hungry, thirsty, tired, maybe when we need to stretch, get up from our desk. So it's really a way of staying in touch and tending to yourself. And the more we do this, the more we can trust our body as our ally. And it can help us to be a kind of inner compass can help us to navigate. What do I need right now can help us to trust like, Oh, I've just met this person. How do I feel in my body with this new person because the body doesn't lie. So the invitation here is to learn how to trust it and to come out of our heads and down into our bodies and actually to connect the mind, the heart and the body so that the whole system works as a unified, kind of uniting uniting all of the intelligences as we move through our lives. That's great. That's very nice. Thank you. And so let's say we have some, you know, as we go through life we have situations come up that are scary. They might create some anxiety, they might stoke some negative emotions. How do we, yeah, how do we work with those as using our, our body as the ally. Great question. So naturally we're going to encounter things that are scary. We do we do every day. And so to really be able to discern is this really a threat or not. What level of threat is this, because we're not in the jungle, most of us, and there aren't tigers that are going to come and eat us. So we need to discover, oh, is this just, is this how scary is this. And so what you would do, if you felt afraid, or when you do feel afraid, is you just pause and notice. Because what happens when we get scared is we generally start telling ourselves scary stories, and we get up into our head and we tell ourselves scary stories and then we do something like we project on to the other person that they don't like us that they have it in for us and who knows what they might project on to someone else just just by virtue of a look they gave us or a moment when they didn't acknowledge us. What does that mean. So it interrupts the cycle of making meaning out of things that most likely have nothing to do with us.  And then I just stay with myself and I'm doing this as I'm noticing someone as I'm in relationship to somebody, which I will say takes practice. So it can be really useful to practice what we did at the beginning, the sensation tracking by yourself. And it doesn't have to be for a long time, you could just do it for a minute. You could set a timer to go off twice a day for a minute and just say, all right, I'm just going to notice my body.  And so I can just let them settle. Oh, I notice I haven't eaten for several hours. Maybe it's time for, you know, a meal. So it generally takes us out of our heads and into our bodies. And when we're in our bodies, we're in the present time. Most often when we're in our heads, we're either projecting something into the future or worrying about something that happened in the past, which is causing us to be afraid. So it helps us to really check in present time. And usually the last thing I'll say about this is when we feel something, a sensation, what you'll notice if you do take this practice on is that sensations change. All emotions, they come and they go. So it gives you a way of actually staying with what's happening and noticing, oh, it's, I'm scared now, and the fear has passed. Or I'm scared now. And let me jump out of the way of that bus that's coming because there's a really good reason for me to be afraid. Yeah, that's great. That's great. Um, so you have a couple of examples from, you know, you're, you're, and you've worked with so many clients over the years and, you know, in our, in our preparation for this conversation, you had, you thought about a couple of examples and I'd love for you to share, share, you know, share about those examples that you'd like. I think you had one about, let's call her Kathy, who, through the sensation tracking found her voice. Yes. Tell us about that. Yes. Well, I worked with her for a long time, actually, and she was, she was like my, my star student. She was amazing.  But she had her one of her issues that she was working with was that she was unable to speak up. Or when she did speak up, she would kind of blur something out, which is not always useful. So she really found a way to through presencing herself or listening to her body and really because what it does is it stops us. It stops us in our tracks. It interrupts our conditioned reaction, which most of us are running on lots of conditioned habit patterns. And so when by sensing herself, she was able to stop the conditioned pattern, which kind of vacillated between blurting and just becoming silent and not really speaking up. She learned how to speak in a skillful way, because she was listening to herself and not coming from fear, not coming from anger. Because when we sense what's going on, as I mentioned before, it usually passes, or at least it changes, it morphs, it evolves. And then I'm coming from a more quiet place, a more connected place. And then what I say isn't coming from charge, because most often when we speak from a charged place, the other person doesn't even hear us. They don't even hear us. And so the message kind of goes by. So that was really an incredible thing because she learned. She learned how to sense herself and really ground and then speak up and not just, you know, and kind of claim her space, claim her place and voice it in such a way that the other person could hear it. So it's, it actually really forms the basis for healthy communication, healthy relating. It's a great experience. Yeah, great example. And then you had another example of client we'll call Josh, who was dealing with, I think, with anxiety. And how did you, how did you work with him? Well, he's another wonderful client that I've worked with and still work with in a more maintenance kind of way over time. Yeah, when he came to me, he was very anxious and anxiety is basically fear of the future. We're just projecting into the future. And he came from a background that was was challenged a lot of difficult things that had happened to him. So there were, there were good reasons for his anxiety. And it was a kind of anxiety that really challenged him to to really function in a in a good way so he could live his life. And so over time and working with him, he also through learning, because what it does is it when you're in your body, and you have a sense of that the body is the ally. And also, there are many reasons that we can have, we can have experiences where we feel like the body is not the ally. So with that with Josh, I worked with him to really learn how to trust his body, and that the body was not was a safe place, a safe place to be a safe place to reside. Because once you're in the body, you can find a sense of peace, you can drop into your heart. And some people can also be it can be scary. I want to just acknowledge that it can be scary to come into the body, because the body, as in the case of Josh, is a map of all of our experiences. So some total of all of our life experiences are mapped out in our body. So when we go into the body, we're going into the list and we're also going into the unpleasant moments to or the really, you know, painful moments. So really with Josh, I worked a lot on getting him to ground, getting him to come out of his head, and into his body into his, especially the lower body, the legs, the feet, the seat, to just really feel a sense of, I'm safe here. Because usually with fear, there's a sense of I'm not safe here. It's not okay to be here. I'm not okay. Something's not okay. And that is based on having experiences where being somewhere was unsafe. So there are reasons. So just working a lot through embodiment, through being able to notice, to stay in. And as with Josh and other people, sometimes we can only stay in for a little bit of time. So be gentle with yourself. If you're someone who's had challenging experiences, painful experiences, which is everybody. You know, there are varying degrees of that. And so to just be gentle with yourself and to kind of dip your toe into your body, the toe of your attention into your body, and only staying as long as it feels like, all right, this is okay, this is okay.  So there's a gentleness. It's of learning how to be in our bodies and learning how to trust the body as as an ally. Hmm. It's wonderful. Thank you. Yeah. It's helpful to hear these actual stories of clients you've worked with. And so there's this other concept you talk about. The whole system's sensing. And I know it's related to what you've been talking about, but is there anything you want to say about that? Yeah, that's really important. Thank you for bringing that up again. Yeah, whole system sensing means that all of our awareness is we have different intelligences. So it's bringing these different intelligences online. There's, there's a mental awareness. There's a physical awareness. There's emotional intelligence. And there's really, there's also energetic intelligence so that we're sensing things that are beyond our bodies that include our bodies and that all of our, that all of its working harmoniously. And this really takes practice because usually for most of us, we've been more or less dependent on one of them as a primary system. Of course, we're all using all of them, but to varying degrees. So a lot of people because we live in this world where we're really a lot in the mind. There's a lot coming through the mind. There's a lot of information coming in. And so a lot of us will really tend to reside in the mental body using a lot of mental intelligence. And there is a time for that. And the thing is that it's not all the time that we need to be in our analytical mind or our deductive reasoning or our, you know, tracking and sensing for on the level of scanning. A lot of times people will scan, they'll scan and they'll use their mind to see if everything's okay is everything okay is everything okay. So it's, it's allowing the mind to relax and to work in in a cooperative way, because there's a different there are different flavors of intelligence there's a mental intelligence and drop into the heart. And actually here's an interesting fact that I learned through heart math is that the heart when you show when you show somebody an image and say it's a whatever it's a beautiful image or it's a frightening image. The heart actually responds several seconds before the mind. So the heart is actually receiving the information and responding to the information before the mind. And we are so often relying on our minds that we bypass the heart even though the heart is is right on it. So to be able to learn to listen with your heart is a great thing because it's it's supremely intelligent. And then there's the body and all the information and the sensations that arise in response to a person a situation or even if you're just considering what to eat for lunch. And you look in the refrigerator you can actually notice oh my body is really happy or here's an example I was I was hungry before this interview. So I went in the kitchen and I looked for something to eat to just have a little snack. And then I had this. I ate half an avocado and my body was so happy. There was all so much happiness. The body settled. There were good feelings. And so it's being able to trust to not just go for what you think you should have, but to actually listen with your entire body and being. Is very empowering. Yeah, and it takes practice. I want to say it takes practice and we have to check ourselves from our this is what I think I should do or this is what I was told I should do and here I am and I know my mind is really brilliant. So I'm going to just do what my mind says and you may have really brilliant mind and it doesn't mean that it's useful to let it lead you always. Yeah, that's a great wonderful reminder. So if somebody watched is watching this and they would love to work with you. What is the next step. Oh, great. Thank you. Well, there are a few next steps. I mean one is you can always I do have some room for some more online clients and you can go on to my website. To my website, Padma Gordon calm and sign up for free exploratory session. I'd love to meet with you and see if we're a match and see to where you're who you are and where you're at. So that's one possibility. And then I also have an online women's group coming up later this fall so for anyone who is female or identifies as female. Please feel free to go on to my website and sign up to be on the waitlist for that so that'll be later on this fall. Lastly, if you live in the Bay Area. I have a couple more spots for my in person, embodying the feminine women's group that meets on a monthly basis and the online women's group is going to meet on a monthly basis as well and it goes for the duration of a year. So it's very good and the women's group has been going for nine years. Yes. Nice year. Yeah. Yeah. Amazing. Awesome. Awesome. Yeah. Well, thank you so much Padma for this conversation and just just really valuable reminders and inspiration for us to be a more integrated person. Yes. Yeah, thank you so much for having me George it's always wonderful to be with you. Yeah, thanks Padma. Yeah, thank you.


What's going on guys welcome back to the channel and I appreciate you being here So today we have some great news coming from this week's weekly Bungie update a lot to talk about but before we go any Further do you want to win some epic loot in the form of exclusive emblem and sparrow codes Gift cards and more if so simply drop a like on this video leave a comment down below and join my discord server Linked within the video description. Okay, so let's get straight into the changes come in Okay, so we're going to get new systems and rewards to give our most engaged players additional Optional pursuits sounds good better incentives for players who can play challenging prestige Activities awesome better rewards and replay value for strikes adventures and lost sectors This one I don't know how they're going to drop it because strikes You could you could basically add exclusive loot to them That will give people the incentive needed to keep grinding them like we had in destiny one Anything else like engram drops and things like that. I don't think we'll work Adventures and lost sectors. Well, you know, they could work them out a million ways We're just gonna have to wait to send them private matches for the competitive community. We are targeting early 2018 a mold in my opinion. We should have been in the game at release But even so along as it's coming and we will get it. That's good Crucible tuning like adjusted supremacist scoring and better spawning rules nice better incentives for completing crucible matches and Penalties for those who quit competitive games early about time Continued improvements to the iron banner and faction rallies including uniqueness of rewards. That's absolutely amazing Changes to make the mud economy more interesting and impactful That I can't wait to hear more on ongoing improvements to exotics including adjustments to reduce Instances of duplication. That's great because it's took me almost two months to get my final exotic and the only way I could get it from sir that being sweet business I kept getting the celestial Nighthawk and I kept getting the cold heart which was a pre-order exotic I don't I don't even know how that was even in the loophole for men grams But yeah, it is what it is New ways to spend surplus currency and materials looking at you a legendary shards good a bad time I hope they stack out Zers inventory with things to buy because we just need them you seriously do now This one is a big one people something we've wanted since the start of destiny an emote Interface that allows players to equip salty spicy rayman six shooter and flip out all at the same time So we're basically gonna get an emote wheel that is going to be absolutely Incredible something we've all wanted they do state There's more that they are working on and we'll talk again soon So guys some big changes there to talk about seriously The one I'm most looking forward to is the bet incentives for people to grind strikes because strikes for destiny one in my opinion Easily took out half of my time playing the game. I love strikes, but I do like the strikes in destiny It's just no reason to play them with incentives in place I think they will work also the implementation of us spending them shards I mean, I don't know how they're gonna incorporate that into the game what we can buy, but it is definitely needed I mean, I've got a low collection of shards and that's almost 2000 compared to what other people have got out there I know people six seven thousand. So yeah, we definitely need something to spend these shards on for sure But emote wheel in my opinion is one of the best additions. I mean we've wanted it from day one I mean, it's not a big eats and emotes and emote don't really change the game But still being able to equip and use more than one emote without going into your inventory is a great addition in my opinion It seriously is so they go on to talk about the patch notes from the patch 1.0.6 and they will be deploying this patch next week. They state. Okay, so what's being fixed here? General fixed an issue with collision detection under bureaucratic walk emote in our people will glitching to get through walls and stuff That's gonna be fixed fixed an issue causing players to encounter empty public spaces too often in three wrong Never really had the issue myself, but yeah Okay, under the crucible Updated the mercy rule settings to allow mercy to activate slightly later in the match allowing a wider range of scores to trigger it This in my opinion don't make sense in my opinion the range was too wide already between scores I thought they'd have to shorten it if anything onto clash and they've reduced the score limit to 50 was 75 Controlled and reduced it to 90 was a hundred also even controlled the reduced influence that enemy controlled zones Excerpt over the spawning system. This definitely needs to be fixed. I encountered this problem a lot within the iron banner I mean I was spawning with enemies in front of me capturing the point So yeah, that definitely needed looking into getting more survival reduced round time to two minutes down from three minutes Reduce life count to six. You know, I don't know if that needed to be changed a bit honest But yeah, it is what is supremacy increased score to win by 70 up from 50 We grant one point per defeating an enemy guardian adjusted the influence that enemy crests have on the spawning system Okay, so yeah, a few changes there to PVP the most apparent one there in my opinion is definitely The mercy rule and activating it slightly later in a match I mean allow no wider range of scores to trigger it that in my opinion does not make sense But what do you think about that? Let me know down below in that comments section Now another thing they talk about within this destiny update is issues with the PC launch Which if you do want to check out or link the whole weekly update within the video description But yes guys quite a bit of juicy information today Don't forget within November there will be three more announcements via streams. I'm guessing from Bungie I'm guessing we're gonna see the first DLC based on Osiris and even more maybe changes to the game as well Probably see a few what they mentioned here also But yes guys let me know what you think about what I've covered in today's video If you did enjoy the video leaving a like really does help me out if you're new around here and enjoy daily destiny videos Be sure to subscribe if you never want to miss a video I upload hit that bar button next that subscribe button to receive email notifications of when I do upload But thanks as always for stopping by and hopefully I will see you on that next one


Jeff Hummerbacher, data scientist from Cloudera, co-founder, hacking data, Twitter handle, welcome to theCUBE. Thank you. So, you're known in the industry, I'll see everyone knows you on Twitter, you're on Quora, heavily, follow you there. At Facebook, you built the data platform for Facebook, one of the guys main, guys there hacking the data over at Facebook. Look what happened, right? I mean, the data tsunami that Facebook has is amazing. Co-founder, Cloudera, you saw the vision. Amarawadala always quotes on theCUBE, we've seen the future, no one knows it yet. That was a year and a half ago, now everyone knows it. So, how do you feel about that? Is it co-founder, Cloudera, $40 million in funding, validation again, more validation? How do you feel? Yeah, I know, I'm sure it's exciting. I think, as data volumes have grown, and as the complexity of data that is collected and analyzed has increased, novel software architectures have emerged. And I think what I'm most excited about is the fact that that software is open source. And we're playing a key role in driving where that software is going. And I think what I'm most excited about on top of that is the commodification of that software. I'm tired of talking about the container in which you put your data. Spending the majority of your budget for analytics on the container itself, rather than the people and processes to derive business value from that data was always very frustrating to me. So I'm very excited that everyone's gonna have a level playing field in the same way that the operating system is a level playing field today with open source Linux. Hadoop is becoming the Linux of large scale data management and companies are going to begin to differentiate themselves on what they do with that container. We're going to talk about data science in particular, Dave and I have been talking about that since EMC World earlier in the year when their whole campaign was around data science. But I want to ask you more on a more of an entrepreneurial note, because I know you're heavily involved in core, you're a big participant in that community, involved in startups, obviously with Cloud Air and in the ecosystem. What kind of creativity are you seeing being unleashed with the data? I mean, obviously data is liberating. I wrote a post two and a half years ago, data is the new development kit where developers would essentially hack data and that's the development environment. What kinds of creativity, and we're talking with Mike Olson and with the big data fund, the old adage VCs, it's a feature, not a company. But that's not the case anymore. A feature absolutely can be a company now because one creative idea could explode. So what kind of creativity are you seeing out in the marketplace from entrepreneurs and companies? I think a lot of the creativity is happening in the data collection, integration, and preparation stage. So I think there was a tremendous focus over the past several decades on the modeling aspect of data. So we really increased the sophistication of our understanding of classification and regression and optimization and all of the hardcore modeling that gets done. And now we're seeing, okay, we've got these great tools to use at the end of the pipe. So now how do we get more data pushed through those modeling algorithms? So there's a lot of innovative work in the R community. The way I use R has really changed a lot since I first started using it five, 10 years ago with a lot of the tools that Hadley Wickham has built for data manipulation. So Plyer and Reshape have been very influential in terms of how I navigate data in R and also in Python with the emergence of things like NumPy and Pandas providing similar capabilities for data manipulation. You know, that's very exciting. And I think you're starting to see some emerging tools for data integration. So tools like Google Refine and the Wrangler project from Berkeley, as well as Clutter as a record breaker for schema inference, I think are gonna facilitate the transition from a novel data set for which you don't know the structure into a well-structured data set which is amenable to modeling. So how did you approach it? You mentioned before, Jeff, that you were frustrated that all the money was going into the container and not the people in process around the container. That was, you were speaking as a practitioner, I presume. Correct, yeah, yeah. And so you had a passion, I guess, to solve that problem. Were you thinking at the time, I mean, because it's kind of non-intuitive how you make money if you get rid of the container, commoditize the container. So were you thinking at the time how you make money at this? Or did you just say, well, let's just go solve the problem and good things will happen? It was a lot more of the latter. I didn't leave Facebook to start a company. I just left Facebook because I was ready to do something new. And I knew this was a huge movement and I felt that it was very Nash and unfinished as a software infrastructure. So when the opportunity with Cloudera came along, I really jumped on it and I've been absolutely blown away by the commercial success we've had. So I certainly didn't set out with a master plan about how to extract value from this. My master plan has always been to really drive Hadoop into the background of enterprise infrastructure. I really want it to be as obvious of a choice as Linux. And then, yeah, I kind of assumed that once you have that kind of ubiquity, the importance of data management and analysis is so clear that that money, we had Martin Mecos as an investor in Cloudera and he came in and talked early on to the company and he had a really great line where he said at MySQL we were trying to take a $9 billion industry and turn it into a $3 billion industry but come out on top. And that's not dissimilar from our goals at Cloudera. And you see, we've talked a lot at this conference and others about Hadoop moving from the fringe to the mainstream commercial enterprises and all those guys are looking at it. We heard Pete Morgan-Jayce today where we're building competitive advantage, we're saving money. Those guys do have a master plan to make money. Does that change the dynamic of what you do on a day-to-day basis or is that really exciting to you as an entrepreneur? Oh yeah, for sure it's exciting. I mean, what we're trying to do is facilitate their master plan, right? We want to identify the commonalities in everyone's master plan and then commoditize it so that they can avoid the undifferentiated heavy lifting that Jeff Bezos points out. No one should be required to invest tremendous amounts of money in their container anymore, right? They should really be identifying novel data sources, new algorithms to manipulate that data, the smartest people for using that data and that's where they should be building their competitive advantage. So what are those commonalities that you see? Presumably that's where Ping Lee is going to be putting a lot of his money. Talk about that a little bit. Yeah, obviously a lot of the commonalities that we see are expressed in the software we build. So we've seen people not just deploy HDFS as a container and MapReduce as a processing infrastructure but they also deploy facilities for both immutable table structure data storage, so things like Hive, as well as mutable table structure data storage with HBase, which has really been driving a lot of our largest engagements, I will say. But in addition, it's not just the container and structured data storage, it's also the higher level tools for authoring processing tasks. So we recently open sourced a system called Crunch, which enables complex workflows in Java that's modeled after Google's very successful Flume Java project. And we've also brought on board the creator of Uzi for workflow description and management, which is heavily used in a lot of our customer base. So we've identified those tools on top and we've also built the tools for integration. So tools like Flume and Scoop, I think we're fairly unique bets by Clutter in terms of saying, we don't want to just build you a container, we also want to build you the tools to populate that container. And we've also invested a lot in ODBC drivers, Fuse modules, so we allow people to consume, to both perform data ingest reliably with open source tools, as well as to consume data stored in the container with their existing tools, with which they're comfortable. Yeah, so, you know, we love, we had- Unleashing data. Unleashing data. Just listening to you talk we love to talk about competition, you know, it's interesting. Sure. And I'm around before, you guys seem so happy about it.  And it's a long way to go. It's not trivial, is it? Sure, I mean, one of the reasons we went out and raised $40 million, is we genuinely believe that the market is going to support multiple billion dollar companies, and we want to make sure that we're there first and we're leading. We really feel that we have a pretty insurmountable advantage in this market. We've been doing it for three years. We've got well over a hundred customers. Aamir and myself were end users of the technology before we even started the company. So we have a distinct empathy for our customers. And we really feel that, you know, we know where the market's going. And we're very confident in our product strategy. And I think over the next few years, you know, you guys are gonna be pretty excited about the stuff we're building because I know that I'm personally very excited. And yeah, we're very excited about the competition. Because number one, more people building open source software has never made me angry.  So that's, you know, those guys are not the enemy. But more importantly, we want to know that the market will sustain more than one player, right? So the worst, the biggest risk you take as an entrepreneur is market risk. Understanding that there's going to be consumers to support the thing that you want to build. And I, you know, I think it's fabulous that not only- It's complete validation.  You've got this Hadoop world, really is the cherry on top of the ice cream because it just crosses over with the business awareness of the problems, right? Like when you've got business practitioners in the audience of a geek talk. Yeah, yeah. That's pretty cool. I mean, that's happening. Yeah, no. So you got to market. Yeah, precisely. And you know, shame on us if we don't leverage this opportunity to produce, you know, some of the greatest open source. So, you know, I'll tell our guys that I really perceive this, you know, over the next two years, Clutter has really got a chance to become the second most significant commercial open source software vendor that's ever been built, right? Yeah. And I, you know, we'll see about take it. Yeah. I think it's already the fastest growing project in Apache history. So that's- Yeah, exactly. And obviously Red Hat's done an incredible job with Linux and they're, you know, they're number one and they're going to be for a while. But, you know, that to me, I reflect on the historical significance pretty regularly and I'm very excited to be part of it. And I know our guys are as well. Let's talk about, we had the guy from Yale on, Adapts, Adapts founder, Total Geek, Total Geek and now I've done three companies, this guy's just like playing in a candy store, building stuff. As a teenager. Yeah. So, you know, that's kind of the marketplace. So, you know, we were talking about data science. You're building a data science team. So, first tell us, before we drill into data science, talk about what you're doing at Clutter around data science, your team and your goals and what is a data scientist?   Sure, sure. What's going on? Yeah. So, you know, to kind of reflect on the genesis of the term, you know, when we were building out the data team at Facebook, we kind of had two classes of analysts. We had data analysts who were more traditional business intelligence, you know, building canned reports, performing data retrieval queries, doing, you know, lightweight analytics. And then we had research scientists who were often PhDs and things like sociology or economics or psychology. And they were doing much more of the deep dive longitudinal complex modeling exercises. And I really wanted to combine those two things. I didn't want to have those two folks be separate. In the same way that we combined engineering and operations on our data infrastructure group. So, I literally just took data analyst and research scientist and put them together and called it data scientist. So, that's kind of the origin of the title. And then how that's translated and what we do at Clutter. So, I've recently hired two folks into a burgeoning data science group at Clutter. So, the way we see the market evolving is that, you know, the infrastructure is going to be commoditized. You know, you're going to get open source distributed data management and analysis tools from the vendor who provides the best documentation, support, training, certification, services, et cetera. And we firmly believe Clutter is that vendor, but that's not going to be your comparative advantage. We're going to have thousands of customers soon, right? So, your comparative advantage is going to come from how you use those tools to derive business value. And so, we've gone out and we've hired folks from Google, you know, from Yahoo Research, my background at Facebook. And these are the people who are the best in the world at using these tools. They've been doing it for, you know, up to a decade. And so, when you look at the Google tools which came before Hadoop is open source. So, what we're trying to do is, you know, really go in, understand our customer base, extract their use cases, identify commonalities, and then build example applications which demonstrate both to people who are not yet Clutter customers as well as who are existing Clutter customers, how that they can derive business value from our software infrastructure. So, we, you know, we've got two folks now, we're growing to six in the first half of next year, and we spend a lot of our time just talking to customers and writing code. Same kind of profile you were talking about, the mix of, is there a certain profile in the hiring? Yeah, yeah, mostly I'm looking for people who've done it before, who've taken, you know, a large-scale distributed file system and map-reduced infrastructure, as well as the attendant tools for data collection, data structuring, and analysis, and they've built complex solutions which drive, you know, millions of dollars in revenue generation. And so, I'm taking people who've done that before and having them ingest other businesses' requirements and generate code, which will do that for them. So, yeah, we look for a mix of, you know, engineering excellence as well as a background in statistics and machine learning to be able to understand the modeling algorithms, but most importantly, you know, the communications capacity to interact with a business user, ingest their requirements, and translate it into software which will meet those requirements. You're really acting as a business, I mean, an accelerant for your customers, right? Oh, yeah, for sure. That's exactly what we're trying to do is to close the gap between, you know, it's a lot to comprehend. Like, even the distributed file system and map-reduced, which are two of, like, you know, the 16 open source projects that we distribute to them, even those are hard to grok for our customers. So, to expect them to not only understand how the technology works, but then to think through how to apply that technology to their business is a bit too much early on. So, we've really invested in performing that function for our customers and then training them to do that themselves. Let's talk about that, because that's, you know, priming the pump, obviously, because the demand is so high for the solutions, they only have the personnel in place. What's the mindset for the folks that are looking to either your customers, for other customers that do customers, or engineers and developers, that matter, who are new to the game, who might not have done that before, because, you know, if that's the criteria, you're going to hire the best of the best. But soon, you know, you've got everybody and it's like, well, I've never done it. You got to do it. Someone's got to start, right? So, what's the mindset to really be a data scientist? And, you know, what is, what should we be thinking about?  Most people are bored with math skills, economics, and these kinds of disciplines you mentioned. What should someone prepare themselves? How do they approach it? How does someone say, hey, I want to hire a data scientist? How do I follow the rec form? Yeah, yeah. These kinds of things. Well, I tend to, you know, I played a lot of sports growing up and there's this phrase, you know, of being a gym rat, which is someone who's always in the gym just practicing whatever sport it is that they love. And I find that most data scientists are sort of data rats.  So, I immediately go and download that data set, you know, pull it into pandas and Python and then just, you know, manipulate it. Just check out what's going on. And so there's a genuine curiosity about seeing what's happening in data that you really can't teach. But in terms of the skills that are required, I didn't really find anyone background to be perfect. So I actually put together a course at the University of California, Berkeley and taught it this spring called Introduction to Data Science. And I'm teaching it again this coming spring and they're actually gonna put it into the core curriculum in the fall of next year for computer science. And so what I really try to do is break down what are the things which I see people use frequently in practice, which are not taught well in the undergraduate curriculum. So the five components of that Introduction to Data Science course are number one, data collection and integration. So, you know, oftentimes in a machine learning or statistics class, you're handed a perfectly cleansed data set. You're not actually asked to go out and acquire that data set and integrate it with your existing data. And so I find that's a core skill that isn't taught well. The second component is visualization design, particularly dashboard design. So once you've kind of collected or integrated a data set, the first thing you wanna do is see what's going on in there. And so visualization is still remarkably not taught at a lot of universities, but even when it is taught, it's often taught more on just the chart design. So we're trying to go beyond chart design and also go into dashboard design. So guys like Steven Few make a lot of money by teaching people how to do this in seminars. And I think integrating it into the undergraduate curriculum makes sense. The third component of the course is on large scale experimentation. So most large web properties have a sophisticated A-B testing infrastructure. And they're able to rapidly design new features and then deploy them to be tested. And so they define certain objective functions that they wanna see how feature A performs against feature B and make a decision based on the data about what should apply. So we talk about what that looks like in practice. The fourth- Or simulations and stuff? What not? You know, standard hypothesis testing, which is often not taught as much in the undergraduate statistics curriculum as sort of distribution design.  So putting a T-Test in context, what does it look like to actually deploy that? The fourth component of the course is on causal inference and observational studies. So the majority of data, you know, I had a non-linear dynamics professor who started off a course in college once by saying dividing the world into linear and non-linear dynamics is like dividing the world into bananas and not bananas. And that's kinda how I feel about experimentation versus observational studies. Everything is an observational study. It's very rare that you get to control the assignment of treatments to subjects. You're often essentially handed those assignments and forced to do as much causal inference as possible. And I've often found when people say we found nuggets in this data, what they actually mean is they've performed some form of causal inference and they're able to say that if we do X, then Y will happen. So I try and teach sort of emerging techniques, you know, guys like Judea, Pearl in the late 80s and early 90s really made huge strides in how to do causal inference and observational studies. And those methods are just now finding their way into everyday social sciences. So I try and teach that to the folks. And then the fifth and last component of the course is on data products.  But once you have that model, how you deploy that into production and then how do you set up a regular refresh cycle and how do you evaluate the performance of that model once it's in production? So things like people you may know. This is the classic cross-disciplinary trend that's required now.  Now you really need to have this cross-discipline, especially in CS too, you know? Yeah, there's really a focus, I think, on staying, you know, hewing close to reality, staying close to the data.  And that's how he did his job. Whereas today, I think that people who are really driving innovation on Wall Street are doing their job by, you know, gathering data sets and interacting with them in an iterative fashion using tools like R. So I think that we really over-rotated on complex modeling and under-rotated, you know, data munging and data analysis. Yeah, and you added, I guess it's part of five, but you and your team are looking for people who've actually done it before and generated what you said is millions of dollars and value from this, which I guess, as I say, a component of data products, but what sports did you play growing up? I played baseball in college. I played a lot of baseball, too. I never met anybody who actually spoke like you did on the baseball team. Yeah. My final question, it was great to have you in the queue. This is fantastic. You can do a whole hour segment on this stuff, it's great. You know, obviously, Silicon Angles mottos where computer science meets social science. So we love this stuff and we totally agree with you 100%. My final question is more around the corner. What do you see happening around the corner, okay? So let's just kind of walk through cloud era's position, the dupes growing, data's now at the rage. Everyone's rocking the data and they're playing with it. Customers are growing, cloud's growing, mobile's growing, social's growing. So society's changing. What's going to happen with the data? How do you envision the future? Yeah, I think other than closing the obvious enterprise gaps in terms of business continuity, high availability, security and encryption.  I think that we're really going to add the facility to perform interactive data analysis and not just batch data analysis to the platform. And then I think there's going to be tremendous innovation in the data integration and preparation side. So when I sat down with the largest customer of SAS, and they have well over 1,000 seats. And SAS, of course, being one of the most powerful analytical tools in the market, I was hoping to learn how they performed analysis. And what they told me was very surprising. They said, I would estimate that greater than 90% of our usage of SAS licenses is for ETL and data manipulation. So that, to me, is the great, that's the huge problem to be solved in this space. I think that things like model selection are going to go the same route as access path selection and databases. So if you go back to the 60s and 70s, people are writing their own algorithms for joining data sets and then choosing between algorithms to perform those joins. And then eventually, that just gets put into, that's decided by the computer today. And so I think the same thing is going to happen in terms of model selection with data analysis, where you're going to see, we're not going to be debating the merits of gradient-boosted regression trees versus my favorite lasso or something like that. All of those parameters of the variety of modeling algorithms will be handed to the computer, and the computer will make that decision. So the really interesting piece for human beings is going to be on identifying new data sets integrating those data sets with your existing data and then performing the feature engineering task of what do we feed into this modeling algorithm and then which problems do we point it at. And that then leads you upstream to the problem of, well, to generate more data, we need to instrument more of the world. So I think there's going to be a huge boom in instrumentation. So you're seeing this in things like the quantified self-movement. So the more that we measure, the more that we can analyze. The future is really moving towards ubiquitous measurement plus data integration and preparation tools. All right, Jeff Hammerbocker, thanks so much for that insight, great epic talk here on theCUBE. Another epic conversation shared with the world live. Congratulations on the funding, another 40 million, it's great validation. And congratulations for essentially being part of the data science and finding that whole movement, Facebook, and now with Amar Awadala and the team at Cloudera, you've done a great job. So congratulations. Thank you very much. All the competition. Keeping you up, keeping you open faster. It's capitalism, right? All right, keep it in your arms. Okay, we'll be right back.


What's up everybody, Jason here for JaspiersKidsBake.com. This is our last filler here to sell out the last nine spots in the hip parade NBA playoffs break with this 21-22 prism NBA solo pack break number 13. And again guys, first we do the break and then we'll randomize the customer names I bought it at the end and top nine get into the hip parade break. So let's roll it, do the break first for the pack filler, one to six, seven times, good luck, one, two, three, four, five, six, and seven, seven, Michael down to Michael, one, two, three, four, five, six, seven. Heats down to the pistons. All right, again guys, this is just a quick pack filler. All right, do the quick pack filler here, trite and green, I see Yana's card number one, Brunson, Kenyon Martin. Tristan with that Yana's card number one. All right, nothing crazy there guys. Switching scenes now and let's do the giveaway which is top nine getting guys, top nine. Roll, snake eyes just two times, one, two. Boom, top nine. Eugene just missing out there at 10, unfortunately not in all the way down to Mark but Tristan you're in, Eugene you are in after all in another spot, Michael, Eugene again, Michael, Michael, Carl, Peter and there you go, top nine are in guys. So I'll paste your guys' names in there and coming up next is the break itself, thank you.


Dear students, the topic which we are going to discuss is Hazard Assessment, Prevention and Control. Now we are going to discuss with the help of workers' compensation and noise. Whenever we talk about workers' compensation, it means that we are talking about incentives, benefits of the employees which they are getting from the organization. Workers' compensation and noise. In making determinations of such a relationship, physicians consider the following factors. Onset and progress of the employees' history of hearing loss. The employees complete work history. Employees are seen to have a lot of loyalty with the organization in their historical perspective for the whole life. If there is a loss, hearing loss or physical problems, then the employee is compensated for. Results of implies ontological examination. Results of hearing studies that have been performed. Determinations of weather causes of hearing loss originated outside the workplace. The problem which we have to face is within the organization. Is it done outside the organization? If it is outside the organization, then the organization will not take its responsibility. Why and assessing hazardous noise conditions in the workplace involve number one, conducting pre-automatic noise survey, conducting pre-automatic automatic test, record keeping and follow-up actions. These four things are basically a process in which we see that the employees' noise, organizational noise, workplace noise is affecting the employees. Pictorial effect dear students. Right ear, left ear, left ear, left ear and this is the complete detail of how these technical things are fit for them and whether they are eligible or not to work physically. Noise control strategies, noise receiver, noise path and noise source. Noise can be reduced by engineering and administrative control. Engineering control dear students, that control is in which technical, electronic, mechanical, mechatronics, technical experts are involved. Administrative control is the top management, supervisor, marketing head, finance head, these people are involved. So here if you want noise control, you will have to technically and administrative control both of them have to be applied to the organization. Noise control strategies, noise can be reduced as its source by enclosing the source, altering the acoustical design at the source. Sometime organization may come to a change in machine so that the source creates noise and it ends in the start. Noise control strategies, noise can be reduced along its path by moving the source further from the receiver and improving the occupational design to the path. The technical path from where the noise is being submitted and where it is being received is enhancing the space in the middle. Sometime the noise created is also snubbed. Number two, when the space is enhanced, the noise can be reduced. Number three, technical expertise required can be used to help the noise. Noise control strategies, safety and health professionals, if they want safety and noise control in the organization, they will have to follow two things. First, engineering control and second, administrative control. Administration control has technical expertise and administrative control has management expertise. If both of them work together, then you can be able to control hazard assessment, prevention and control in the organization.