It's good to see you, my brothers. I don't know about you, but the first time that I was able to be at our parish when the people came back for the first time after COVID, that time was a very emotional time for me, just seeing the people there and being able to celebrate once again. And I'm sitting here having the same similar emotions. It's great to be back, amen. Well, the Gospel reading is very interesting. It's what we have here in this particular text in this Gospel is the fifth example when Jesus makes the declaration that he's not going to annul or cancel the law and the prophets, but he's come to fulfill them. And so he has to give us an example and he gives us several different examples and now we're in the midst of this fifth example of how he's going to fulfill the law and the prophets. And as I was praying through this particular passage, there was one line that struck me and I thought we could unpack that for our time together. It's that one line when Jesus says, should anyone press you into service for a mile? Go with him for two miles. And as I was thinking about that particular passage, I was thinking about that in particular and my mind immediately went to an example in the Gospels of someone who was pressed into service. And of course when we think of the passion of Jesus and we think of Simon, Sirene, of Sirene. The faithful Jew has two of his boys they're on Jerusalem, on his way to Jerusalem to pray at the temple. And Jesus is being escorted out with his cross and the Roman centurion see him. The big guy, let's get him to carry the cross because Jesus can't do it anymore. I put myself in Simon's shoes or sandals and that moment I'm, well how would I be feeling in that moment if I were him? I'd be afraid because I'm just looking to go to the temple to pray and these Romans now are forcing me to align myself with what appears to be a criminal. I'm on the way to the temple to pray. Am I gonna be defiled because I'm now helping this criminal? What are the people going to think of me if I go into this service? Because I'm being pressed and yet here's the Lord telling us if someone presses you for a mile, go too. I'd be feeling resentful to the Romans for making me do it. I'd be fearful. What would people think? I'd be afraid of my sons. Who's gonna care for them while I'm doing this? And yet Jesus says, go. The best way to deal with the resentment is to go even beyond, farther than what you ever thought you could. Give more than what is being asked of you. How do you do that?  I don't wanna do this. I know I have to because the Romans will make me one way or another. But how many times have we been asked to do things? How many times have we been pressed into service after we've just done a bunch of stuff and we're just tired? And we don't wanna do anymore. Maybe we wanna go hide. And what does the Lord command? Go to. I'm not sure I know how to do that. How do you get rid of the resentment? How many times have we felt resentful for having to do the office that we've been called to serve? And are we wrong for feeling resentful? How many times have we been asked to do something? We're honestly afraid to do it because we're afraid of what people will think or what will people do or what will people say? I mean, we're human. No one likes to be rejected. No one likes to be told that they're not doing something good or they're not doing a good job or we like this deacon better than that one or this priest better than that one or because we're human. We haven't stopped being the men we are created to be. We're still broken, we're still hurting and yet Jesus still commands us. The fulfillment of my kingdom is not to go one mile but to go two. I think that Paul tells us in the first reading, he lays out a lot of the same struggles that we were going through. He gives us this great example. He goes through and he starts giving us the litany of things that he was struggling with, his battleground, the things that he was going through in his day. Why do we need to go two? Why isn't just one enough? Why is it he wants two? One sounds great to me. Why two? Because he said it in the end. Father Dave was talking about two kingdoms earlier that we can see them. We can still have our eyes fixed on the kingdom of God but we see this kingdom of the world just rising and the evil rising and influencing our people and now all of our good people are starting to get swayed and people are succumbing to a spirit of fear and people don't know it appears with the faith in Jesus Christ is gone but we know that faith. We understand what we have because he said it in the last line. People say that we're poor, that we have nothing to offer, that the Catholic church and Christianity is irrelevant in our days. They call us poor because we have nothing but we know we have everything. We have everything because we have Christ and when we have him, there is nothing that we need if we choose to believe that. But that's the choice, isn't it? That's the choice, the choice to believe or not to believe. You know, Thomas gets a bad rap because he says unless you show me the evidence I will not believe. He used an act of his will to say I choose not to believe until I see the evidence. But Jesus is saying that because you have me I have everything and I got everything you need and I have everything your people need. The problem is that they choose not to believe that. I need you to believe. So he goes to Thomas and says, Thomas come look, here's the hole in my side. Come put your finger in and stop unbelieving but believe. And so Paul goes through and he gives this litany of things of how the world is gonna pursue us. I believe going forward we are treated as deceivers yet we are truthful because we're proclaiming the truth of God. We're unrecognized yet acknowledged as dying and behold we live as chastised and yet put to death as sorrowful and yet always rejoicing as poor yet enriching many. Brothers, I think it's easy to get our eyes off Christ. At least if you're like me and start seeing all the rest of the stuff and seeing how people have responded but our God wants us to remember that we have everything in him that he just wants to bless us. For me that's been one of my COVID messages is that my heavenly father, I've been one of those people that maybe felt a little guilty because COVID has been just an amazing time in one sense for me and that I was able to not do any work because preachers kind of came to a grinding halt in COVID. And yet I felt like the Samaritan womb, I mean the poor widow who kept going back to the flower jar and the flower was still there. And then he moved my wife and I to Texas all during this time when I had nothing but the truth was I had everything because I had him. And our father's message to me was just very constant. Ralph I just want to bless you. I just want to bless you. I just want to bless you. Tell me what do you think Simon received from Jesus after he got him to Calvary? I'm sure it was hard. He was sweating, he was being judged where the people thinking he's a sinner too but he chose to stay with Jesus. He chose to carry the burden with the Lord. I can imagine at the very beginning being afraid are people gonna associate me with this guy who's gonna be crucified for the rest of my life? Is this what's now on my plate?  Who knows about Simon? We may not see it in the midst of the struggle and the midst of the brokenness and the midst of the pain and suffering that we have to go through when we choose to go into service for not one but two miles. But in the end we receive is the blessing not because we earned it but just because he wanted to bless us. So why go to instead of one? Because God is love and that's what love mandates and we don't just give a little, we give it all because that's what Jesus did and because we have him, we can do it too. Two miles.


So, I'm Shrek Zhang, assistant professor at the Habermas School and associate bioengineer at the Brigham Room Hospital. Our lab has been really working on bio-fabrication perspectives, primarily bio-printing and organ-trip devices, to allow fabrication of human tissues and organs for different applications.  Yeah, so as mentioned, I mean bio-fabrication can be potentially applied to different aspects. So, one thing is 3D fabrication of these human tissues and organs and if you then apply those towards, for example, let's say different donor, patient derived geometries of the tissues or cell types in there, then you can start to really personalize these medicines according to different patient needs. So, that's one aspect but also another aspect mentioned is these organ-trip devices, basically in vitro models of human tissues and organs where you can also imagine you can combine them with cells that are coming from different patients, different donors, different people populations and then allow them to really promote our capacity to screen drugs in a better way. So, those are perspectives I think might be relevant to procedure medicine with bio-fabrication. Yeah, sure, definitely. So, in our own lab we have been really interested or heavily focused on vascular bio-printing, for example. So, vasculature is essentially one of the most important components of human system because every single tissue essentially has the vasculature in there in both cases. So, we have been really focusing on using bio-printing or on-trip devices to emulate human vasculature and then with that you can, for example, combine that towards a cancer model like things like that to then apply precision medicine concepts in there for these different scenarios. Yeah, that's a good question. So, I would say it's probably anywhere between 5-10 years to decades.  So, likely you can have some of those organs already fabricated within the next decade or so but then for some internal organs that are super complex then might be needing a little longer time. Sure, yeah. So, I think eventually, well, we have been working primarily on the bio-fabrication or fabrications of the things. So, eventually I think comes back to a biological problem. So, eventually whatever you're trying to fabricate has to be functionally relevant to the biology itself. So, I think that's really where more efforts have to be placed on to allow generation of truly functional and biologically relevant tissues and organs for these purposes. Yeah, definitely. So, I think that's a very unique and interesting setting because there's mutual need. For example, as engineers, right, so we develop technologies all the time and then we have to apply them to something at the end. So, then that's where, for example, clinicians and all the doctors are coming in, where they have problems, right? And oftentimes if they have, well, if they're in hospital without engineers, they have a problem but they can't solve them. But now if you have both engineers and the clinicians together in the same environment then it's actually very beneficial of both ways. I mean engineers can actually go to the doctors and then really apply the technologies to the actual final use. But then on the other side the doctors or clinicians can come over when they have a question so we can actually start to really, I mean, work together in different ways to really push the technologies into the actual kind of translation at the end. Yeah, so I think that's a good question. I mean it's a very nice city here and I mean people are very warm, welcoming and again I think being able to have a conference like this or something like this that's really multi-disciplinary as we discussed. That's very helpful because I mean again you have people from different disciplines and then they convene and communicate and exchange ideas and I think really from there it's going to be prompting different new areas coming through and also maturation of existing areas so a lot of new collaboration is potentially happening over there as well and also the education of the newer generations for them to be coming to this important area in the future.


So the kids of Mumbai and Delhi and Kolkata and Chennai and Bangalore and Hyderabad and Chandigarh, they better wake up. They have a choice. Either they start to understand what gurus are and start to open themselves up to their dharmic heritage or they make their way to the pharmacy. And that is a very limited path. Certainly psychology can help but to medicate people the way it's happening now, it is because Guru Vada is losing its respect in this country. It's going to come back, yes. And perhaps now is the start.


update welcome folks we have the now industrials right now trading up 273 we get the Nasdaq up 90s up 131 S&P's are up 38 gold gold contract up $30 70 cents trade in 1941 you get the silver contract up 80 cents at 2551 and light sweet crude lights we cruise up $8.60 that must be irish to trade in a hundred and free dollars 61 cents notes and bonds the 10-year note up to tick straight 12409 30 year down 12 151 14 and King dollar King dollars down 635 ticks trade in 97 983 Euro 110 yen is out here at 118.59 the British pounds at 131 to 1 us dollar we don't want to take a look at the market what you had out here folks is this so yesterday bottom line is that you did get volume on the way up and that's so what that says well first off you had the high volume swing low which was on the 24th bottom line you tested that on the 8th yeah on the 8th of March as well as on the 14th you come off of that and we had volume I suspect we're going to see here it's going to be a consolidation this thing can get as high as that 457 right now you're 439 and if I'm right in the context what you'll see is that you see the volume start decrease once again as you go to higher price and the x100 is the same setup you can see that the end the X is already starting the contract in a monster way we did 105 million yesterday or 52 that's going to do about 70 million the pot of gold pot of golds out here today folks bottom line Irish yeah Irish the gold contracts up $32 what gold did do gold went back to its breakout area test this breakout area had light volumes taken off again top side goals in a confirmed ABC structure on the way up up to the 25 to 2600 dollar area and if we go over to the dollar it's going to be interesting on the dollar man because the dollar really looked like it was going to go out that one or two area but that's having a tough time it would have to get back inside the 969 30 though to basically fail and right now you're at 979 89 you're down 600 ticks but that 600 ticks is almost the highs of where the breakout was and notes and bonds bottom line these notes and bonds want a lower price high yield share it there folks come right back


Live from San Francisco, California, it's theCUBE covering the IBM Chief Data Officer Summit. Brought to you by IBM. We're back at the IBM CDO conference at Fisherman's Warf and San Francisco. You're watching theCUBE, the leader in live tech coverage. My name is Dave Vellante. Glenn Finches here is the global leader of big data analytics at IBM. And we're pleased to have Mark Claire. He's the head of data enablement at AstraZeneca. Gentlemen, welcome to theCUBE. Thanks for coming on. Great to be here. Hi Mark, I got to start with this head of data enablement. That's a title that I've never heard before and I've heard many thousands of titles in theCUBE. What is that all about? Well, I think the credit goes to some of the executives at AstraZeneca when they recruited me. I've been a Chief Data Officer at several of the major financial institutions both in the U.S. and in Europe. AstraZeneca wanted to focus on how we actually enable our businesses, our science areas and our businesses. So it's not unlike a traditional CDO role, but we focus a lot more on what the enabling functions or processes would be. So it sounds like driving business value is really the main thrust? Well, it's three. I've always looked at this role in three functions, value, risk and cost. So I think that in any CDO role you have to look at all three. I think you'd slide it if you didn't. This one with the title obviously we're looking in quite a bit at the value we will drive across the firm and how to leverage our data in a different way. I love that because you can quantify all three. All right, Glenn, so you're the host of this event. So awesome. I love that little presentation that you gave. So for those who didn't see it, you gave us pay stubs and then you gave us a website and said take a picture of the pay stub, upload it and then you showed how you're working with your clients to actually digitize that and compress all kinds of things. Time to mortgage origination, time to decision. So explain that a little bit and what's the tech behind that and how are people using it? Sure. So for three decades we've had this OCR technology where you take a piece of paper, you tell the machine what's on the paper, what longitude and latitude coordinates there are and you feed it in and you hope and pray to God that it isn't in there wrong, the form didn't change, anything like that. That's the way we've lived for three decades. With cognitive and AI, I read things like the human eye reads things. And so you put the page in and the machine comes back and says hey, is this an invoice number? Hey, is this social security number? That's how you train it as compared to saying here's what it is. So we use this cognitive digitization capability to grab data that's locked in documents. And then you bring it back to the process so that you can digitally reimagine the process. Now, there's been a lot of use of robotics and things like that. I'm kind of taken existing processes and I'm making them incrementally better, right? This says, look, you now have the data of the process, you can reimagine it. However, in fact, the CEO of our client ADP said, look, I want you to make me a Netflix, not a Blutter blockbuster, right? So it's a mind shift, right? To say, we'll use this data, we'll read it with AI, we'll digitally reimagine the process and it usually cuts like 70 or 80% out of the cycle time, 50 to 75% out of the cost. I mean, it's pretty groundbreaking when you see it. So, Mark, as a head of data enablement, you hear something like that and you're not myopically focused on one little use case. You're taking a big picture view and you're doing strategies and trying to develop broader business cases for the organization. But when you see an example like that, and many examples out there, I'm sure the light bulbs go off. Oh, I wrote probably 10 use cases down while Glenn was presenting. We'll be talking about that later. You do get tactical, though, right? Okay, but where do you start when you're trying to solve these problems? Well, I look at the Glenn's example and about five and a half years ago, Glenn was one I went to, I'd gone to a global financial service firm and obviously having scaled across dozens of countries. And I had one simple request to Glenn's team as well as a number of other technology companies. I want cognitive intelligence on data ingest because the processes we've had done for 20 years just wouldn't scale. Not at speed across many different languages and cultures. And I now look five and a half years later and we have beginning of, I would say, technology opportunities. When I asked Glenn that question, he was probably the only one that didn't think I had horns coming out of my head that I was crazy. I mean, some of the leading technology firms thought I was crazy, asking for cognitive data management capabilities. And we are five and a half years later and we're seeing AI applied and not just on the front end of analytics but back in the back end of the data management processes themselves and starting to automate. So I look, there's a concept now coming out, data ops. And data ops is, if you think of what DevOps is, it's bringing within our data management processes, it's bringing cognitive capabilities to every process step and what level of automation can we do? Because for typical data science experiment, 80 to 90% of that work is data engineering. If I can automate that, then through a data ops process, then I can get the insight much faster but now I can scale it and scale a lot more opportunities and have to manually do it. So I look at presentations and I think in every aspect of our business where could we apply it? And what do you mean? What do you talk about data engineering? You talk about data science spending his or her time just cleaning data, wrangling data, all the not fun stuff. Plugging in cables back in the infrastructure days. I mean, you're seeing horror stories right now. I heard from a major academic institution, a client came to them and their data scientists that they had spent several years building were spending 99% of their time trying to cleanse and prep data. They were spending 90% cleansing and prepping and of the remaining 10%, 90% of that, fixing it where they fixed it wrong the first time. So they had 1% of their job doing their job. So this is I think a huge opportunity because you can start automating more of that and actually refocusing data science on data science. So you've been a chief data officer, number of financial institutions. You've got this kind of cool title now which touches on some of the things a CDO might do and you're a technical, you've got a technical background. So when you look at a lot of the, what Ginny Rometti calls it, incumbents. He called them incumbent disruptors two years ago at IBM Think. They've got data that has been hardened in all these projects and use cases and it's locked in people talk about the silos. Part of your role is to figure out, okay, how do we get that data out and leverage it, put it at the core? Is that fair? Well, and I'm going to stay away from the word core because to me core can infer kind of legacy processes of building a single repository, a single warehouse which is very time consuming. So I think of, can I leave it where it is but find a way to unify it? When I say core, I mean mentally the core of the business. That's what I need to think about is how to do this logically and create more of a unification approach that has speed and agility with it versus the old physical approaches which took time and resources. So that's a computer science problem that people have been trying to solve for years. Exactly. Decentralized distributed architectures, right? And why is it that we're now able to tap your technical expertise? I think it's the perfect storm of AI, of cloud, the cloud native, of IoT because some of you think of IoT. It's IoT to be successful as a fabric that can connect millions of devices or millions of sensors. So you pair those three with the investment Big Data brought in the last seven or eight years and Big Data to me initially when I started talking to companies in the Valley 10 years ago at the early days of MapReduce what I saw were companies and I can go to almost any of the digital companies in the Valley. They were using technology to be more agile. They were finding agile data science before we called it data science. The MapReduce and Hadoop were just almost, not an afterthought, but it was just a mechanism to facilitate agility and speed. And so if you look at how we've built that all the way up today and all these, all the convergence of all these new technologies, it's a perfect storm to actually innovate differently. Well what was profound about MapReduce and Hadoop it was like leave the data where it is and ship five megabytes of code to a petabyte of data and that, I think you're bringing up a good point. We've now, we've spent 10 years leveraging that at much lower cost and you've got the cloud now for scale and now machine intelligence comes in that you can apply on the data because as Bob Pitchiano once told me, data is plentiful, insights aren't, right? Amen to that, yeah. So okay, so this is a really interesting discussion. You guys have known each other for a couple of decades. How do you work together to solve problems? What is that conversation like? Do you want to start that? Yeah. So first of all, we've never worked together on solving small problems, not commodity problems. We would usually tackle something that someone would say would not be possible. So normally Mark is a change agent wherever he goes. And so he usually goes to a place that wants to fix something or change something in an abnormally short amount of time for an abnormally small amount of money, right? So what's strange is that we always find that space together and Mark is very judicious about using us as a services firm to help accelerate those things. But then also we build in a plan to transition us away and transition him into full ownership, right? But we usually work together to jumpstart one of these wicked hard, wicked cool things that nobody else really wants to tackle. So do people hate you at first or do they love you at the end of it? Yeah, I went into one institution and I said okay, we're going to do a four step plan. I'm going to bring the consultants in day one while we find talent internally and recruit talent external. So that's kind of phases one and two in parallel. And then we're going to train our talent as we find them. And then Glenn's team will knowledge transfer and by phase four we're running it. And that's a model I've done successfully in several organizations. People kind of hate it at first because they're not doing it themselves but they may not have the experience and the skills. And I think as soon as you show your staff that you're willing to invest in them and give them the time and the exposure, the conversation changes. But it's always a little awkward at first. I've run heavy attrition in some organizations at first to build the organizations but the one instance that Glenn was referring to, we came in there and they had a 12 to 15 year plan. And the CIO looked at me and says, I'll give you two years. I'm a bad negotiator. I got three years out of it and I got a business case approved by the CEO a week later that was a significant size business case in five minutes. I didn't have to go back a second or third time but we said we're going to do it in three years. Here's how we're going to scale an organization. We scaled more than a thousand person organization in three years of talent. But we did it in a plan way. And I mean, in that particular organization probably a year and a half in I had a global map of every data and analytic role I needed. And I could tell you where in the US they set and with what competitor or in what industry and where in India they set and in what industry and when we needed them we went out and recruited them. But it took time to build that but you know in any really period I've worked because I've done this for 20 plus years now the talent changes and location changes somewhat but it's always been a challenge to find them. I guess it's good to have a deadline I guess. You did not take the chief data officer role in your current position. Explain that. What's your point of view on that role and how it's evolved and how it's maybe being used in ways that don't line with it? I mean I think that a CDO and during the early days there wasn't a definition that matter of fact every time I get a recruiter call me oh we have a great CDO role for him. First thing I ask him is would you define what you mean by CDO? Because I've never seen it defined the same way in two companies. It's just that way. But I think that the CDO regardless of the institution as responsibility end in to make sure there's an end in framework from strategy execution including all of the governance and compliance components and that you have ownership of each piece in the organization. CDO in most companies doesn't own all of that but I think they have a responsibility in too many organizations that hasn't occurred so you always find gaps in each organization somewhere between risk costs and value in terms of how the organization's driving data. And in my current role like I said I wanted the focus we wanted the focus to really be on how we're enabling. And I may be enabling from a risk and compliance standpoint just as greatly as I'm enabling a growth perspective on the business or cost management and cost reductions. I mean I've been successful in several programs for self funding data programs for multi years by finding costs. I've gone into several organizations that had a decade of merger after merger and data is the afterthought in almost any merger. I mean there's a data silo session tomorrow and it'd be interesting to sit through that because I've found that data is the afterthought in a lot of mergers but yet I knew of one large healthcare company that made data core to all of their acquisitions and it was one of the first places they consolidated and they grew faster by acquisition than any of their competitors. So I think there's a way to do it correctly but in most companies you go in you'll find all kinds of legacy silos and duplication and those are opportunities to find to really reduce costs and self fund all the improvements, all the strategic programs you want to do. And I'm inferring from that in the data roll overlaps or maybe better than gaps in data is that thread between cost, risk and upside. It is and I've been lucky in my career I've reported to CIOs, I've reported to COOs and I've reported to CEO. So I've kind of reported in three different ways and each of those executives really looked at it a little bit differently. Value obviously is in a CEO's office. Compliance more in a COO's office and cost was more in the CIO domain but we had to build a program looking at all three. You know I think this topic though that we were just talking about is how these roles are evolving. I think it's natural because we're about five to seven years into the evolution of the CDO. It might be time for a CDO 2.0 and so you see more CDOs moving away from pure policy and compliance to more value enablement. It's a really hard change and that's why you're starting to see more turnover of some of the CDOs because people who are really good CDOs at policy and risk and things like that might not be the best enablers. So I think it's pretty natural evolution. Great discussion guys, we've got to leave it there. They say data is the new oil. Data's more valuable than oil because you can use data to reduce cost, to reduce risk, the same data to drive revenue and you can't put a gallon of oil in your car and a quarter of oil in your car, a quarter of oil in your house. So data we think is even more valuable. Gentlemen, thank you so much for coming on theCUBE. Thanks so much, a lot of fun, thanks. All right, keep it right there everybody. We'll be back with our next guest. You're watching theCUBE from IBM CDO 2019. We'll be right back.


May 40 here. I was just listening to Peter Zion on the Ukraine war. He talked about how Russia's invasion was imperialist, fascist, and genocidal. Now, I don't think any of those descriptors are accurate. I don't really think they shed important light on things. There may be tiny elements of imperialism. I don't really see any. No, there are no elements of imperialism. There are no elements of fascism. And to the extent that there is a genocide, then genocide is such a hotly contested, definitional controversy that professors who specialize in genocide have fallen out with each other and stopped speaking to each other. It's that highly contested. John Mirsch and I make the point that the war is sent to escalate. The more United States did the Ukraine prior to 2022, the more arms they shift and the more training they gave in, the more they de facto integrated them into NATO. And the more likely it was with Putin that would feel threatened and feel driven to invade. Just if any other leader of Russia would likely have the same motivation. The Russian war on Ukraine has very little to do with Putin. So, just like any leader of Germany in the 1930s would have been incentivized to try to win a quick, fast war for Europe. I think Germany had a good chance to win World War I and World War II and that they didn't win. It didn't mean that the decision was a mistake. This meant they didn't quite pull it off. If they had launched World War I ten years earlier, they would have won. Now, it's not that national leaders are completely irrelevant, right? No Hitler and no Holocaust. So, any leader of Germany would have been incentivized to go to war and try to take control of Europe. But Henry Hipper would have launched a genocidal war against the Jews. So, I'm primarily a structuralist. I look at the structure of international relations. I look at the structure of situations, well, and personalities. But sometimes the personality matters. Donald Trump is a unique personality. Adolf Hitler is a unique personality. I see a lot of use of the term grift. I've left Jerko like Ken Brown. He's made a long video on what is grifting. It's quite popular demand and he says it's when you promise something good and it's fraudulent. Grift does have a meaning and it's that. It means small time theft. So, I don't think any meaning beyond that, particularly useful. So, as a put-down, I don't think it's impressive. So, as a grifter, no, not really. Unless they're engaged in theft, petty theft is not grifting. So, fascism has a meaning. Russia's a vision of Ukraine. It's not fascism. Fascism is a political movement that arose between World War I and World War II in Europe as a reaction to the rise of communism. Imperialism has a meaning that's where you take control of other countries. Putin doesn't want to take control of all of Ukraine. That's evidenced by going to Ukraine with only 175,000 soldiers, never shared any evidence of trying to take control of all of Ukraine. It wants to peel off a few promises in the Western. Provinces in the Western wreck Ukraine, so that it will be less of a threat to Russia as a kind of launching base for a NATO invasion. I don't like it when words are used luckily when they're just thrown around as pejoratives and they don't fit. And Peter Zein does this. He gets in high-dudgeon and he did this with January 6th protestors and talked about the murdering policemen. And I know policemen who were murdered on January 6th. The only person who was killed directly on January 6th was Ashley Baber, who was shot by a member of the police. So, there were people who died on January 6th, except for Ashley Baber, but they weren't killed and they weren't murdered. But Peter Zein would talk about how the January 6th protestors would beat policemen to death. And so, it was a lot of fun to listen to, like at Richard Spencer. But part of what makes them so fun and so compelling is they didn't always circumscribe and circumcise their stories to comport with the facts. People who try really hard to be accurate and fair are just not going to tell as good a story. They're not going to be nearly as dramatic. They're not going to be likely as compelling. They're not going to seize your attention quite as much. They're not going to be as entertaining, because some people feel they can try to constrain themselves to what is true. The Zein goes out on these flights of fancy, which makes them a lot of fun. But that's how accurate.


The Secretary of the Navy, Ray Mabus, spoke at Boston Navy Week about the importance of the Great Green Fleet's demonstration in this year's Room of the Pacific or RIMPAC exercise. The carrier and the submarine will be running on nuclear power, but everything else, the aircraft, the surface combatants, will be on a 50-50 blend of regular aviation gas or diesel and biofuel. The demonstration is intended to evaluate the performance of drop-in replacement biofuel blends, which is made from used cooking oil and algae and certain energy-efficient technologies. Secretary Mabus went on to talk about why the Navy is using biofuels and leading the charge for America to reduce the dependency on foreign oil. Even if we could get all the oil and gas we needed in America, it's still a global commodity, and the price shocks when somebody threatens to close the straits of our moves are when Libya started. Every time the price of a barrel of oil goes up a dollar, it costs the Navy 31 million dollars in additional fuel costs. So we've got to correct that, and we're moving to do so. Approximately 450,000 gallons of 100% neat biofuel was purchased for the Great Green Fleet demonstration, which includes USS Nimitz and carrier Erwing-11, USS Princeton, USS Chaffee, USS Chunghoon, and USNS Henry J. Kaiser. The Great Green Fleet is scheduled to deploy in 2016. For more information about the Navy's energy programs, visit greenfleet.dodlive.mil-home. From Washington, I'm Petty Officer Ashley Hedger.


Good morning evening and everything in between what we are doing today is we are sort of rounding up our data science portion of CSE 111 specifically about talking about a sort of library a development environment is really a better way of thinking about it But it's known as Jupiter. So if you think about it, what we've been talking about all of Really how we've been working this entire semester is through spider Spiders a development environment that allows us to code and we see that code Console sort of on the other screen you can do some other crazy things like look at the values of the variables But it's just a development environment. You can code that code exists. It can be ran from anywhere Jupiter creates what are known as interactive notebooks. The entire idea is It's going to take our code and it's going to take those console outputs and sort of Mix them together in a way almost similar to how it works in idle but in a sort of visually pleasing way and you know other ways as well, but It sort of kind of creates this interactive website that we can manipulate So if we kind of take a look we've been again using the anaconda navigator Toolset you've been familiar with spider, right?  So say for example our studio pandas is pandas data frames are designed similar to model how our Models data through its data frames. Well, if you're using our guess what you can in my case install it Or you could hit run Same kind of thing we have Jupiter So the entire concept is Jupiter's just going to build a website build a web page for us as we see in one second And there you go now. It's loading in this problem. So Congratulations, you've got Jupiter running whoop-de-doo now what okay? Well, I'm gonna go ahead and jump to the CSE 111 folder that we've been working on for a few weeks now And that's on my desktop and there it is Now same kind of concept. I have say for example my iris data set This is it I can click it and what do you know? It will actually load it up I can edit and manipulate this data as I see fit But specifically I want to create something in say our core folder. That's where we've been working with the Temp file so far So the same kind of thing I would just sort of come in here and our little new options over on the right and Select in our case a Python 3 notebook Again, this is creating its own tiny little library Or sorry tiny little web page and again you can see it's pretty blank to start But now we have interactive what Jupiter likes to call cells and the entire idea is these individual snows or snows Cells are little code snippets that we can use manipulate and reuse So in this case that first one every time I'm working inside of Jupiter I like to treat this as my import statements And the entire idea there is just this is where all the libraries I'm planning on using Come in. This is no different than when you're working off of a Python template So in our case, I want to do say for example a scatter plot analysis of the iris data set We've already done this, but I want to use Jupiter in this case so we can see what happens. So in our case I'll come in and import pandas as PD and import matpawplot lib.pyplot as PLT Okay, fancy, you know, I've written three lines of code Well, again, this is a little tiny snippet and so if I use two fingers and I hold shift enter What it did was that what Jupiter did was it loaded that data into its memory And so suddenly I have access to the pandas library the matplot lib library and I can use them in other Snippets so again say for example, I want to load that iris data set so I'll just call it iris since we're using that equals PD dot read CSV and again since we're using sort of a File hierarchy. I need to go up a directory up a directory Down into the data directory down into the data directory and there's my iris.csv and There's my iris.csv Now I hit that I run it once again. I have that data loaded into a cell So I'm able to manipulate it as I see fit So say for example, I came in and did something like iris or iris.head again Jupiter is going to create this interactive notebook.  I don't really have a console here. So where's it going to appear? It's gonna appear in line. So literally that data has appeared in this case sort of a little snippet of it Jumping down so my cell executed and wherever that output would go Jupiter what does is output so in this case you can see I can double-click and hide that or you know Whatever the entire point is now it's Loading that data in line So I'm gonna do just one more step and then we're going to see a way to say plot our data Using Jupiter so in this case the first thing I'm going to do is just specify which features I want to work off of inside of my Jupiter library and This is actually one of the beautiful things just on accident. You know just force to have it I already hit shift enter, right? I accidentally Shift entered and so that line of code is executed. Oh Well, I guess that's it. No, so What I can do is I can actually go into these cells as you can see my cursor is blinking here and I can go in and continue to manipulate them Even though I've already executed that part. So in this case, I can come in and create the y-axis Now what's gonna happen when I hit shift enter? It's going to take whatever that snippet of code is and Rerun it so effectively those two lines. It was just one line. It was just x-axis getting created now x-axis is once again created or updated and y-axis now exists Pretty nice so the last little bit is once again, I want to sort of create some scatter plot diagrams of Say the Seeple length and the petal width. Okay. Well in that case We're just doing a lot of these similar approaches that we've seen with pandas in the past. So in my case, I'm going to Just go ahead and take my iris data set and group by its species So again, and I'll hold off on it. So again, that's just going to extract out where there are the same values So all of my Satosas are gonna be in one group All of my various of colors in one group and my virginica's in one group Then I can use something like a for loop. So in our case for name comma data in species remember name is going to be effectively what was the sort of thing that was unique or Was common amongst all of the elements in a particular group So all of them were Satosas and then all of them were virginica's and various colors That's what names going to be data is literally going to be a small micro data frame of That data. So in our case, that's what I want to plot. So in our case plt.scatter Let's see. We're going to go with data at the x-axis Across data at the y-axis now the last little thing I'm going to add in here is name equals or sorry label Equals name The entire reason here is because what if I want to create save for example a legend I want to plot out my data and I want to Effectively show which of the different species is which color since I'm using a for loop One of the things that pandas is going to be doing in the background or map plot lib Is going to be doing in the background is it's going to be assigning it a different color So in our case as I hit shift enter you can see to start. Oh, look at that It's going to plot that data in line with the rest of my code now Like I said, I wanted to have a legend. I accidentally clicked the shift enter too soon Well in that case I can just come back up here plt.legend legend and as you can guess it just like when I did my dot head I could manipulate that and Just to show that off again. I can manipulate this it will change what the output is for a Particular so the same thing is going to happen here when I hit shift enter You can already probably guess what's going to happen this time. It's going to have a nice little legend as well And so all we're really doing is sort of creating these interactive pages I keep using that term, but it's really effectively just letting us code and then as we Want to make print statements or see what our data is doing. It just allows it to happen in flow Sort of in that just kind of linear fashion that vertical structure that we're working off of and so that's how you use Jupiter


Generalization setting, you've been experiencing it for all of these videos, folks.  But I do. So does Brad. He wasn't trained either. Actually, that's not completely true. Brad has had a lot more camera time than I have had over the years. So he has less of a generalization setting for him. For me, it's a drastic generalization setting.  So to generalize in front of a camera, that's a bit different, right? So in other words, it's a new environment of which you've never experienced training in that context before. Yet you're measuring that behavior. In other words, the behavior is occurring. So if somebody's watching you, of course, they're measuring. And if you're doing it, you could watch yourself and that's self-monitoring. You could get into the self-control chapter and go look at all those definitions too, because really, really, really, you're hungry and we need more food. And we get that by you watching the videos and paying for it. Well, you don't pay for it, but the advertisers do. You get the idea. Anyway, generalization settings, just when a behavior occurs in an environment that you haven't trained it for, how many times did you like me to give the definition? I don't think I've ever done that particular accent before. So generalization setting.


It's all of our fight. I was judged. I was scared. I was happy. I was the real me. Hi, I'm Samantha Cox-Para for CalTV Entertainment here at the 2017 Sundance Film Festival in Park City, Utah. We're about to interview the cast from This Is Everything Gigi Gorgeous. How could I resist not making this film? She's got 2.5 million subscribers. She's got a community that loves and adores her. A family that loves and adores her was all right. It was all a good thing. My wife said, OK, it's time to tell you something. Gregory's doing makeup tutorials online. My camera became my therapist, and YouTube became my diary where I would post everything. If your parents don't get you, if your friends think you're weird, I love you.  At the UC Berkeley campus right now, LGBTQ students and people of color are fighting for space and their voice to be heard. What advice can you give to them to continue pushing through? I would definitely say stick together. If you want your voice to be heard, I've stuck together for years now with my community online. People that I don't even know from across the world are family to me because we are a part of the same community. And I think if you want to make a change, definitely stay together and spread the love. Coming out as gay, make my presence online sore. She started filming herself during the whole process of transitioning. She did it without telling us for about a year and then had all of these hours of footage. And we said, hey, this could actually be something. And that was about three years ago. So we're finally here. We shot in New York, in LA, Toronto, combined with four and a half hours of her transition footage that she self shot, plus 10 hours of her childhood footage. So we were working with a lot of media to cut down to make this 91 minute documentary about Gigi's story. It's still my heart, it's still my body, it's still my mind. So what do you hope that people take away from this is everything Gigi Gorgeous? That they just see Gigi as a person like anybody and that all of us need love and protection and to be able to live our lives the way we want to. Being an athlete and a diver and on my way to the Olympics was my dream, but I fell out of love with it and that's life. And I think that's part of just being authentic, following your path and doing what you want to do with your life. So stop that and open to new chapter. And it was very hard, but it was very rewarding. You know, films need to be fun and this one was. And I cannot wait to see it because it's been so much build up and I've heard really great things.


The Human Genome Project was launched 27 years ago. It took 13 years and 3 billion dollars in the activities of hundreds of scientists to sequence just one genome, the human genome. And what are genomes and what do they mean to us? A great metaphor for a genome is like a book, a book of life. The genome encodes all of the instructions to make an organism. A genome can tell us about the past, can inform us of our ancestry. It can tell us about the present, it can tell us the kinds of traits we have and it can tell us something about the future in terms of prediction of risk for developing specific diseases. But science tells us that we now have an entirely new field of medicine that is the result of the Human Genome Project. The Human Genome Project has transformed our fundamental understanding of human biology and it has also led to this new field of precision medicine where treatments can be designed for treating specific diseases on the basis of one's own genotype. But not only is the Human Genome Project and precision medicine saving lives every day, the Human Genome Project unleashed an entire wave of innovation. And for the 3 billion dollars that were invested in the Human Genome Project, one study by Battelle estimated that 1 trillion dollars in economic activity has been returned to the U.S. economy and that's just for a single organism. Right now science is telling us that we only know of about 10% of the species on our planet and that doesn't include the billions of microbes, small organisms that we can't see but that form the underpinnings of all ecosystems on the planet. What we're talking about here, the 10%, are the 10 to 15 million species that are estimated to populate our planet. But of these 10 to 15 million, only a small fraction, as I mentioned, about 1.5 to 2 million are known. These relatively small number to the total biodiversity has given us our entire picture of what we understand about modern biology and also all the tools that we use for food production and other bio-dependent industries. So from the 2 million, we have about 316,000 species of plants and from those 316,000 species, numerous drugs have been developed. For example, taxol, a very important drug in treating cancer, is derived from a small tree and from the oceans, the invertebrates, the mollusks, the snails and the sponges. Many, many new drugs have been identified for treating pain and chronic diseases such as cancer. For example, the drug Ciderabine, which is used to treat human leukemia, was first isolated from a sponge. Now, take those 1.5 to 2 million species that are known and if you look at how many of their genomes have been sequenced, only 15,000 species on the planet have some knowledge of their genomes and of those, only 2,500 have been sequenced to completion. 2,500 species, this represents less than a tenth of a percent of all the eukaryotic biodiversity on the planet. Well, what about the other 99.9 percent?  Well, if you look at the technology, the technology has become cheaper and cheaper. The cost of DNA sequencing has come down nearly a million fold. What took $3 billion to sequence back in 1997 through 2003 now costs less than $1,000. And with sequencing costs that low, we now have access then, the ability to understand and study the dark matter of biology. Those million and a half species that we have relatively no sequence information and in addition to those, in addition to those, the 13 and a half million species for which we have not even yet laid our hands on. Now, all of that raises the question as to whether we are now at the doorstep of another revolution, the fifth industrial revolution which will be enabled by biology. And this enormous opportunity has led us to propose a group of scientists including myself and others from the Smithsonian Institution the University of Illinois and several prominent institutions around the world to propose what we're calling a moonshot for biology. To sequence the DNA of all eukaryotic life on Earth in a 10-year period. A great grand challenge. And we call this project the Earth Biogenome Project. The goals of the project are to maximize returns to society and human welfare, to enable the conservation, protection and restoration of biodiversity, and to reinvigorate our understanding of biology, of ecosystems, and of evolutionary processes. Let's just take a few examples for improving human welfare. New ecosystem services will be created. New biological synthetic fuels, new biomaterials, new food for feeding a growing human population, new drugs for slowing or reversing the aging process, and new treatments for infectious and inherited diseases. Biodiversity. It is very clear that we are now entering what has been called the sixth mass extinction of life on our planet. 52% we have reduced in the last 40 years the vertebrate population size has been reduced by 52%. 23,000 of the 80,000 species surveyed by the International Union for the conservation of nature are threatened with extinction. Scientists believe that by the end of the century more than half of all species will be vanished from the face of the Earth and with consequences to human life on Earth that are unknown but are potentially catastrophic.  This is going to require innovation. Innovation at several levels just like the human genome project unleashed. Innovation such as portable sequencers rather than bringing DNA to the lab to bring the sequencer to the sample. Autonomous vehicles, one of the greatest challenges of the project is collecting a million and a half samples. We envision drone technology, instrumented drones that can go out, identify samples in the field and bring those samples back to the laboratory or process them on site for species identification. And all of these technologies are going to be necessary for the sequencing and interpreting of a million and a half genomes. And a significant new challenge for this project will be in the area of computing. New algorithms are necessary for analyzing and visualizing the enormous amount of data that will be generated by this project. We anticipate this project will generate at least an exabyte of data. Thousands of petabytes of data generated each year. That's 2,000 times more than is generated, for example, by Twitter. And more than any other scientific source of data including the land-based telescopes for astronomy.  And from this, all of these data, we aim to create a new digital repository of life reflecting the wisdom of 3.5 billion years of evolution of life on our planet. So, the Human Genome Project has certainly contributed much to our understanding of biology. But sequencing all of eukaryotic life will contribute much, much more than what we have learned from a single species. Can it be done? Yes, it can be done with existing technology. The technology exists today to do this. And we can do it at a cost of about 4.7 billion dollars. If we convert the cost of 3 billion dollars to today's dollars, that means that the cost of sequencing all eukaryotic life on Earth will be less than the cost of sequencing what it took to sequence the human genome. This is absolutely amazing, if you think about it, all due to the progress in technology. And this has begun. The work has begun. BGI in China is committed to sequencing 10,000 plant genomes. The University of California Davis in collaboration with the Broad Institute in Massachusetts is sequencing 200 mammals. The Rockefeller University in New York is in the process with their vertebrate genomes project of sequencing all 66,000 vertebrates, birds, fishes, amphibians, reptiles, and mammals. And many other countries and many other institutions such as our main partner institution, the Smithsonian, in Washington, D.C. And that brings us to our partnership with the Earth Bank of Codes. For countries to participate in this initiative, in this grand project, they have to know that their biodiversity and the intellectual property derived from their biodiversity will be protected, that the benefits will be equitably shared. And the partnership that we are announcing today at the World Economic Forum here in Davos with the Earth Bank of Codes is designed to do exactly that. The first project will be a test project in the Amazon where we will focus on mapping and sequencing all of the hundreds of thousands of species. In fact, Brazil has 10% of the total of the world's biodiversity just exists in one country. If we're successful in Brazil, in the Amazon, this will serve as a foundation for other countries with rich biodiversity to join this amazing project, a project that will result in the sequencing of all of life on our planet. Thank you very much.