Hello, everyone. My name is Surya Sen. I am a program officer with the National Human Genome Research Institute. And I am very, very excited that you are here because we have a funding opportunity that I am spectacularly excited to tell you about because we believe this will bring things to your students that we have not been able to offer up to this point. So just a few procedural things before we get into the presentation. This webinar will be a little bit of slides from me. I'll try to keep it to 10 or 12 minutes. Hopefully that saves lots of time for questions and answers. This is a webinar. The Q&A will happen through chat. Please feel free to put your questions in the Q&A box. Sarah Hutchison, who is our program analyst, will call out those questions. We will make sure every one of them gets answered. You do not have to identify yourself. Anonymous submissions are allowed. We are not putting Zoom chat on for this webinar that lets us focus on the questions that come in using the Q&A. Once we are done with the webinar, we will collect everything that got asked and together with questions from a previous webinar we did on the 1st of September. We will make a frequently asked questions page that will then go on our website. And we will also be recording this and sharing a copy of that recording as well. So you'll have something to go back to later on. I wanted to begin by pointing out that all of the funding announcements and relevant links are in the public space. On the top is the funding announcement for this webinar itself, which I'm pretty certain all of you have seen. Extremely important, I want to call your attention to the second bullet, which is a notice that we used to change a few things and make a couple of things more clear about this funding announcement. Other than that, things like the associated U24 hub, the FAQs that I mentioned and things that are strategic documents from the Genome Institute relevant to this funding opportunity are all listed on this slide. So this gives you somewhere to go back to if you need any of these for future reference. So to get right into the content then I will do a little bit of a background and purpose for what this work is about and then tell you how we propose to fund you to teach genomics and data science in your classrooms. I will cover a little bit of the application process. And then as I said, hopefully save at least three fourths of this hour for answering your questions. So moving in by telling you about the two parts of the genome Institute or an Agri that have joined forces for this funding opportunity. I belong with the Office of Genomic Data Science, which is a part of an Agri that funds anything to do with the use of computational tools or mathematical or statistical tools in a genomics context. We have tons of funding, not just this opportunity but things that are also research activities as a distinct activity from teaching. So if you are anywhere in the space of genomic data science I strongly recommend going to the link at the bottom of this page and checking out everything we have to offer because we have multiple active research funding opportunities that might be of interest to you. Together with the Office of Genomic Data Science, I am very excited that the training diversity and health equity office at NIGRI which we acronymized as the Tide Office is our partner for the work that I hope all of you will be excited to apply for. The Tide Office as with OGDS has a ton of things going on that aim to broaden and diversify the genomics workforce, not just in data science but genomics as a whole. So once again just as with OGDS if you are looking for things where you would bring more diverse students in, or you would bring more funding for teaching genomics at a minority serving institution. I really think the Tide Office is a group of people that would be happy to talk to you and tell you more about what's happening over there. So quickly our tool for all of the work that I propose to fund through this is really based upon the fact that cloud computing in many ways is completely changing how genomic data science happens. Many of you may be familiar with high performance computing and the fact that up to this point, institutions that teach data science and computing have historically been ones that had lots of money and were able to find computing infrastructure on their campuses. This is no longer the case with cloud computing pretty much anyone with a laptop and an internet connection now has access to all of the tools, all of the data, all of the compute resources that they would need not just for their own learning but also to teach their students how data science and genomics are linked to each other. So really with energy rise and build platform, which you see a link or a screenshot on the left of the page, but also with many other cloud platforms that NIH has put billions of dollars into such as the catalyst, the NCI data commons the all of us researcher workbench, really at this point NIH has a lot of money invested in cloud computing. And our hypothesis is that the cloud can also be a tool for teaching and for education, as much as a tool for high performance computing and large scale science in multimillion dollar consortia. So give us the context for all of this webinar and everything we bring to you is to take cloud computing and put it in your hands as faculty members who teach genomics, and hopefully we'll use the cloud to teach genomic data science. So the other aspect of this other than cloud computing is that NHGRI recognizes that over the next 10 years, one of the highest priorities for us is broadening and diversifying the genomics workforce. On the left you see a screenshot from the strategic vision document that we publish about once every decade where we say over the next 10 years. And these are things that are important. You see there that genomic data science is no longer something we feel could be optional for people that are trainees of the future, they will need to learn data science at the same time as genomics. And also on the right, what you see is our diversity action agenda, which is our plan for how to make genomics a more inclusive scientific community over the next 10 years. And one of the things we are saying there is that particularly for data science we need to start early undergraduates masters degree students are the communities of interest the specific populations that we want to engage and make the genomics investigators of the future. So that our way of tackling that problem of a lack of diversity in genomics is through a combination of two funding announcements, one of which has already been awarded and I'll tell you more about that in a couple of slides. So at the center of the slide you see what we call the U24 educational hub for computational genomics and data science that's CGDS. So think of a group that is sort of the central community organizer and as I said I'll describe them in just the next couple of slides. But together with this central organizing entity, what we want to do is to fund individual faculty, like many of yourselves to actually be partners of this hub, where the hub would help with organizing your material or organizing train the trainer but you would be the actual people going into classrooms designing genomics education content and bringing the students into the picture. While the hub would help you do that but you would get funds of your own to do that as a standalone activity within your institutions, the HBCUs, tribal colleges, community colleges and institutions that enroll students from a wide variety of programs. So that combination of a U24 hub and the UE5 partner sites which most of you have probably seen and which brought you to this webinar is our way of tackling the lack of diversity in the current genomics workforce. Let me first quickly talk about the hub as I mentioned this is a large multimillion dollar award, you award which is a cooperative agreement, NIH and the awardee together will act as a group of people who reach out to the different faculty members from different sorts of institutions, offer genomics training material workshops in cloud computing, workshops in computer programming really do some of the early work that is more foundational and help set the stage for everything that would come afterwards. I am happy to share that this award was just released a couple of weeks ago to North Carolina agricultural and technological university that is one of the nation's largest HBCUs. I really encast you the awardee at this point is already hitting the ground running in engaging faculty members like yourselves, and I encourage you as well to reach out to them information about how to contact them can be found either through this press release, or you're welcome to contact me, and I'm happy to put you in touch with them. But remember, this is a group that has a large NIH award to help you teach genomics and data science in your classroom so think of them as your partner in your educational missions. So together with the hub of course today all of us are here to talk about the sites, the UE5 funding announcement that probably brought you here. Our overarching purpose with the sites funding announcement is, as I said to support faculty members like you at institutions which have documented mission to enroll students from diverse backgrounds and help you be funded so that next semester or the semester afterwards, you are able to set a certain amount of time aside to say I would like to build genomics courses that I can then teach to my students and also introduce them to the cloud. So really this is all about empowering faculty members at diverse institutions to be funded to develop and deliver genomics educational content. I emphasize that the cloud is a big part of what we are looking to do here. So as we get deeper into this, please remember that whatever we are funding will need to be exercised and shared using the cloud computing platforms that I referred to earlier in this presentation. So quickly, let me cover what the approach is for the sites funding announcement we are looking specifically at undergraduate and master students that includes associates degree students so this does not have to be students in a four year degree program. The content that we have in mind is need is going to be a combination of classroom content together with hands on exercises using cloud platforms as a virtual computer room of sorts if you will. And the other NIH clouds that I mentioned will be helping with this you will not have to do this alone if you have never used the cloud before and bill and the other groups are here to help you learn about the cloud yourself as a way of introducing your students to it. We are also excited that the U24 Hub that I mentioned has money to offer $650,000 grants to faculty members like you so that your students can design genomics research projects. So this is not just about students in a classroom learning genomics or students using the cloud as a virtual lab. There are $650,000 awards for your students to actually get together with you and conduct a little project of their own. We believe that having them generate data will give them the organic ownership and excitement of why genomics could be a part of their future careers. And there is a huge focus on sharing content. We want anything that you build to be available to other institutions other faculty members who did not get an award through this funding announcement. And once again, we expect the cloud to be a wonderful way of sharing everything that that is developed through this funding opportunity. And here I expect to partner with quite a few other NIH institutes so that we can make a larger number of awards than our budget alone would permit. Okay, so, since we published the funding announcement itself, I want to make sure that all of you get to see this accompanying notice the notice number is on top and the link is in that slide at the beginning. I just wanted to clarify a few things that people asked a lot of questions about when we did the first webinar. We are happy that we managed to extend the receipt date so this was originally kept at October 8 which would have been very very short amount of time for someone to write an NIH application. We are happy that we were able to extend that to November 8 so you between us publishing this and the first receipt date is over two months. We have a lot of time to write your application. Many of you asked about whether your salary was an eligible cost. This notice is clarifying that you can put money in the budget to pay for your own salary and not just to develop and teach things while expecting your institution to cover your actual salary. There are some numbers in the funding announcement that give you a sense of the minimum commitment of how much time you have to devote to this and how much of your salary could be funded through this particular funding announcement. But once again, you are able to do that just so it's clear. And also, if you are teaching at a community college, I want you to know that you are very much in the scope of what we would like to see as applicants. In the initial funding announcement we have sort of hinted at undergraduate and master's degrees, and it was pointed out that associates degrees were not explicitly clarified as being eligible. This is about students in community colleges getting to your degree program degrees and does not have to be a four year degree or a master's degree. So I hope that makes it clear that you are encouraged to apply as well. So let me talk a little bit about what would make an institution eligible for this funding announcement. This seems to be one of the topics that I have been responding to the most emails for. There are three conditions or three criteria, all of which have to be met by your institution so I want to use this slide to really explain how someone would or would not become eligible for applying and being funded through this funding announcement. So as I mentioned, we are looking to reach the smaller institutions that right now have not been able to include genomics and data science and cloud computing in their course offering so your, your college or your university has to have received less than 25 million dollars per year of R01 funding. If you are a well funded, our one institution with many hundreds of millions of dollars of NIH funding. There are other things we have that are appropriate but this particular funding announcement is not for the large well funded institutions at this point. As I mentioned this is for undergraduates and master's degrees by undergraduate we do mean associates as well so do not plan on doctoral students as part of your target population for what you would teach over here this is for early career stages. The third and in some ways the most important one is that we expect this particular funding announcement to specifically be reaching colleges or universities that have a historical or current mission to educate students from minority backgrounds. The way to think about this is go to your institution's website to read the mission statement and see if the mission statement is written around students from diverse and underrepresented backgrounds. And that is just one of five or six things going on. You may not be eligible. I'm happy to clarify with you whether or not that would be the case, but really, ideally your institutions mission statement makes it clear that it is the specific mission of your college university to educate students from a population that by NSF criteria laid out on this slide have been defined as underrepresented in biological sciences. So I'm happy to help you get a yes no determination to this. But really this is not for any and all applicants this is for institutions that are particularly focusing on students that have been excluded up to this point from genomics and data science education. So let me also cover a couple of things that are important here. I've used the words educational content quite a bit. I've gotten a few questions as to what we mean by content. Really the definition is up to you educational content could mean classroom lectures with PowerPoint slides. It could mean virtual learning where students are receiving genomics education in a zoom setting for example. It could also mean things that are videos it could mean hands on cloud computing labs. We really want to hear from you what your ideas would be for how you would teach this it does not have to be just classroom content or just learning in a you know on a web server. This is really getting left to you to come up with new ideas for what content would mean. There is a list of things that would make something not responsive to this funding announcement responsive is our term for what is what is considered in scope for for the money being offered. There has to be a focus on computational topics computational genomics and data science. This is not for just teaching genomics unless there is a substantial focus on the bioinformatics or computational aspects of genomics. This has to be about the cloud. If you are teaching genomics and data science, but you have no plans for using the cloud as a tool. This is not the funding opportunity to apply to. And there's a few other things there that are more or less self explanatory but as always I'm happy to answer questions. Remember there has to be genomic data science, and it has to use the cloud in terms of what you teach. As I mentioned this is also going to give your students the chance to be funded for research project genomics and particularly data science are ideally learned by doing rather than learn for receiving information in instructor student setting. So we have these opportunity funds, whereas part of your application you are invited to propose how you would organize your students into a group and do something like a summer project or project as part of one of their courses where they collect the data they designed the experiment they collect the data. And then that data comes back to the cloud and they learn how to use the cloud to analyze their own data we believe that this is the best way to make them invested in genomics and sustain their interest in the long term. Quickly, let me cover how the application works. I very, very, very strongly recommend that you schedule a quick chat with me so that we can go over your plans I can hopefully give you something useful in terms of what would be considered responsive, maybe exchange ideas that have worked for similar applications before NIH has the SF 424 application guide which is a huge body of information likely any question that you have the answer is somewhere in there sometimes it can be a little hard to find but that is the omnibus list of instructions for how to apply to NIH funding opportunities. The main body of the application is called the research plan I'll talk about that in a minute, but please go ahead and first read the funding announcement from top to bottom. Pretty much every part of it has some information that you will need as you get into the application process. Let's first discuss the research plan, the biggest part of the research plan is called the research strategy. It has sections within it that I will cover. So first of all, we want to hear your idea like what are you thinking of when you want to teach genomics and data science to undergraduates or masters or associate students. What are the overview of the courses and the content that you would like to develop, discuss how you plan to use the cloud in that context, describe how you want to share things assuming that NIH gives you the funds. How would you make things available to other institutions that are not getting one of these awards. The great thing here is how you would apply to the hub for those student research projects. So give us a plan for how you would organize your students and develop a research proposal that the hub would then review and hand out those $50,000 awards for. And finally, these are three year awards. We would like to hear from you what you would do in year one year two year three, give us something of a timeline for how this work would happen at your institution. There are a few parts of this that are mandatory inclusions. Please remember to include a research sharing plan templates for this are available through NIH. As I mentioned the plan for how you want to apply to the hub for those student projects, these are separate pieces of the application so each of these has a text allocated within the page limits. The application plan, and then letters of support are institutional as well as personal if you are doing this with collaborators you can get letters of support from them. But equally important you need to include a letter of support from your department chair or from your dean of research that makes it clear that your institution is behind the work that you propose and will be supporting you in the administrative sense. Your review is interesting over here because this is going to be reviewed not by CSR the central NIH review office. These applications will get reviewed at the genome institute in what we call a special emphasis panel. They will then go to energy areas council who can comment on the individual review that was done by the special emphasis panel. And finally program officers like myself and Lucia together with colleagues will be able to make funding decisions based on a combination of your course, how well what you propose aligns with what we would like to see happen through this funding opportunity, and also quite frankly what NIH's budget looks like and how much money we have available in future award years and starting with next year. As I said the deadlines are letter of intent, which is optional you do not have to send us a letter of intent you can just choose to go ahead and apply. But if you want to send us a letter of intent the deadline is the eighth of October, the application itself is due a month after on the eighth of November. The first single piece of advice is to not wait until that date if you plan on applying said yourself internal deadline of at least a week before sometimes your college or university will have their own deadlines, but chances are high that if you wait till November eight to start submitting this something goes wrong and that can lead to some pretty unfortunate circumstances so once again, don't wait until the last minute. With that I'm going to stop and take my slides of the screen and turn this over to Sarah said I see a few things in the chat. What can I help answer. Thank you sure Joe. Hi everyone my name is Sarah I'll be helping with the Q&A today. So we do have a few questions to start us off with regards to the NIH cloud computing resources, what are the costs for those and can they be integrated with other platforms, like xc, etc. Yes, so of course, whatever costs you would incur for using the cloud are very much allowed to be made a part of the budget in this application. And we are actively looking into ways that can support your cloud costs so and do include them in your budget. And if we end up having other money then we might be able to pump those funds in and save you some of the budget for this funding but definitely this is designed so that you can be you can be including cloud costs for educational purposes. Integrating with other platforms is of course something that I would love to see happen but this is in many ways a reviewer question. Give us the proposal or give NIH the proposal. If the reviewers feel like that is a useful activity for the students and ends up being something that NIH should be looking at in a bigger context. I feel that could go down very well. It is not a requirement from our end we do not need anything other than using and will the NCI cloud or all of us cloud all we need from our end is a commitment to using one or more of the NIH clouds as they exist. If you want to integrate them with other platforms that could be an interesting idea but that's a reviewer decision as to whether they see it as being useful. And there's a follow up regarding costs and if they're easy to calculate or if cost calculations might be a bit difficult. Yes, so cloud cost calculations, you know at best in exact science at this point, I will in a second try to put a link, or I will. We do have a cost calculator tool that we just built into the angle. So we are giving a resource to you to help get you at least a ballpark estimate of what it would need in terms of the budget allocation so talk. Send me an email or if I can I will put it into the chat here. There's something that will at least help you get a head start on it but we understand that the number may be quite a bit different from what it actually ends up costing. If your students get into it in a big way for example. So we have a question about designation as a Hispanic serving institution and if that serves as eligibility. It does, it would come along with those other two criteria where are you a Hispanic serving institution and doing work at the undergraduate and masters levels and receiving less than $25 million of one funding per year. That's a good starting point but it cannot be Hispanic serving institution that already has many hundreds of millions of dollars on NIH funding, which is uncommon but just to make sure, make it clear that the eligibility are logical and operators that have to include all three of those conditions, and not just the minority serving institution status. The next question asks if there will be additional submission dates recognizing that November 8 is pretty close. There is at least one more submission date that is in June of next. Thank you for us to tell because this is going to need more approvals on our side but if the program itself turns out to be a success then usually NIH or NHGRI try to keep things going, of course, pending approval from our council and senior leadership, but there's at least one more receipt date so you're all set even if this November is too close for you. And we also have a question asking if you're aware of NSF ETE, which stands for Advanced Technological Education. I was not and I am curious about it so if you can put a link to that or send me an email with where I can find it that would be fabulous. All right, and our next question asks if there is a minimum number of courses that needs to be developed as part of the curriculum as recommended by NHGRI. No minimum. It's completely your call to propose something. The viewers who in most cases are very experienced professionals in their own right will probably know how to tell the difference between something that is bare minimum in terms of the student offering versus something that is too ambitious. But we are not defining what a minimum number of courses would be as part of this. Thank you. Looks like we're waiting for a few more questions to enter the chat so please take your time and send in any other questions. Okay, we have a question as a community college. It is difficult for us to create a new course. Can we modify existing courses to add the CGDS components. Yes, absolutely. Remember, there needs to be a modification that would involve the cloud. We specifically wrote in, I forget the exact language but I'm happy to pull it out and put it in an email. There is absolutely no need to think of this as something where everything has to be developed from scratch. But if you modify an existing course, make sure that the modifications are in the general direction of adding computational genomics and data science, it could be either data science or it could be computational genomics or it could be both. But that's the general vector for how the modification would work or you could have a programming course and you could decide to add genomics to it so you could decide to modify from either angle to make this fit what we are trying to fund. But the cloud is the biggest piece if you modify an existing course to add a cloud computing component I feel just my personal opinion is that the reviewers might be quite positive about that. Great. Next we have a question is there additional information on what specific assistance they can get from the hub. Maria fabulous question I think the first thing to do would be to read the funding announcement for the hub. It's of course a closed funding announcement of the application deadline close long ago. But if you read that you should be able to see what NIH asked from the hub applicants. The next thing to do would be to contact the hub awardee directly and explain what would help be helpful for you and see to what extent they have existing resources or to what extent they have time and bandwidth to engage with you. This is a really deep question that will get answered in some ways by the hub and NIH together with you. I'm hoping that something or the other is valuable but that might take a slightly different shape for every inquiry to the hub in some cases the hub may say sure here's a web server that we built with easy to teach student exercise. In each case is the hub may say sure we next semester we can come do a two day workshop for your faculty on cloud computing so it'll be I'm hoping slightly different in each case. And of course NIH has not given them infinite funds, but within the world that they have I'm hoping that they will be able to work with you and others to design how to best help you, depending on what you need. So NIH and energy and I really are getting into this in a big way between the tide office and GDS expect to see a lot more from us in terms of education in genomics and data science. Next question is what should be the likely duration of the research projects described. Next question, these are $50,000 awards right so we can expect your students to spend a full year working for that amount of money. My master length would be my ballpark concert, but I do want to draw the distinction between my role as a program officer, and the eventual reviewers of your application so design something so that it is rational and you know as I said the reviewers usually have a pretty good idea of objective realities and what is a week would be too short a year would be maybe a year is too long or depending on how you design it it could be a small amount of work done over multiple years. This is really NIH should not be telling you how to design that research project it's your idea to design and the reviewers who are not at NIH, they make the call on whether they find the idea feasible or not. Okay great just waiting for some more questions to come in. Okay let's wait another minute or so and as I mentioned at any point between now and the submission deadline. I'm happy to get if a shutdown happens we may not be able to but let's be optimistic and if a shutdown does not happen then you should be very very comfortable reaching out to me by email, and we can set up a time to talk. Okay, if we don't see anything else in the next 30 seconds or so thank you all for joining, I hope all of you decide to apply. Remember, if you apply to this round, you get a review score and if the score is a little short of what would get funded. So one more chance to revise and we submit in June of next year so this is not a one and only chance sort of funding opportunity. I encourage you to go ahead and if you have not written an NIH application before I should have mentioned this before we designed this one so that it is as short and as simple as possible to write and submit this is about the easiest designed, other proteins and you know small $10,000 grants that would be to not appropriate here.  Okay, thank you everyone you know where to find me and we will share the recording and these questions on the website.


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I edited something out of that video and I said That whenever someone makes money that someone has to lose money I didn't think that was a hundred percent accurate and true But it actually is and you don't really hear too much about the average person getting rich off crypto Only the few that are in on it and just a few weeks ago before Bitcoin took a 20% hit I mean what kind of legitimate currency has 20% volatility in one day like multiple times over the course of several months I remember seeing tons of influencers celebrities Newscasters all saying the same thing by Bitcoin and it's comical because on their profiles It will say I'm not a financial analyst and then they were blaming Biden for crashing the market. Oh Who controls Biden? He's a puppet for the same people that control this crooked system I wonder who was ready to sell all their crypto that same week Perhaps the same people telling you to buy it if you don't think Bitcoin as well as the stock market any conventional way to invest For retirement make money are controlled by the elites aka secret societies that don't want competition You're misguided All of these are not for the average person to make money It's for the elite to transfer more wealth to themselves just like insider trading on the stock market Whether it's politicians getting hints about events before they happen. Oh, they can predict the future of their psychic hedge funds manipulating the media Coordinated news stories the average person is set up for failure just like that Biden nonsense In this case, it's even more obvious how much of a scam crypto currency is Have you ever seen one person speak negatively about crypto on any platform, especially in the comments of videos? Have you ever seen anyone make a truthful prediction all of these?   How sketchy is that with other currency at least there's some type of regulation and tracking You know, we know where it's coming from how much there is How did Bitcoin start at 1 cent now it's up to $60,000 Doggy coin doge.  These are not stocks in companies. They do not have any value They're lines of code Do people seem to forget that Bitcoin fell from over 20,000 to 3,000 What would people be saying if it went from 60,000 to eight or 9,000 even lower? I think it's a giant Ponzi scheme and a great way for the elite to hyper-inflate their way to an even bigger divide between them and the working class so apparently the stock markets were not transferring well fast enough and These dirtbags needed to find a way to trick people into handing over more money Do you genuinely think bankers would allow such a large financial tool to undermine their power?  I just became a dogecoin millionaire This 33 year old invested his savings in the meme cryptocurrency with inspiration from elon musk And you know one thing that's definite that I say in this video 100% factual if you don't know what the number 33 is why it's significant Do not buy stocks. Do not buy crypto Figure out what that means first for my sanity now if what I've said so far isn't click click click clicking in your head Convincing you that this is a little sketchy I think I might have found their playbook for repulating crypto It's bad for the environment and now I don't think this is going to happen for a couple years but Very possible bitcoin has a carbon footprint comparable to that of new zealand producing almost 37 megatons of carbon dioxide annually according to Digi economists the cambridge bitcoin electricity consumption index a separate tool from researchers at cambridge university shows a much larger figure Of 110. I don't even know what these units are more than the entire Annual energy consumption of the Netherlands now There's plenty of sources and things that you can look up pretending to how crypto produces a massive amount of CO2 Which the media has been telling us for dozens and dozens of years is destroying the environment If they've been planning to control us using the climate as an excuse. Why is crypto so popular?  How can you possibly trust this? I can't remember the name of the comedian But I've put his clips in my videos before and I'll I'll try to find it and put it here But one thing he said was the game is rigged And he's absolutely correct It's their game The game is rigged and people have no clue what's going on and if anyone makes money on this scam currency It's blind luck So thank you guys for joining me today And don't be surprised with all the shills in the comments pushing crypto This is Probably going to be one of my most censored videos and it's going to have a ton of shills on it That is my assumption based on what I've observed Over the past few years and making this video So if you guys could please drop a like leave a comment down below Subscribe so that youtube can unsubscribe you next week Maybe you'll be one of the lucky 2000 that we just lost and definitely check that notification bell So they don't notify you of my videos. Therefore, if you can check out frank dash to find out com to support any of my businesses Thanks again for joining me guys.


Okay, welcome back everyone. We're here live in San Francisco. This is theCUBE, our flagship program where we go out to the events and extract the signal from the noise. I'm John Furrier, the founder of SiliconANGLE. I'm joined by Jeff Frick, co-host on this segment, CUBE general manager, filling in for Dave Vellante. Days done here, we're done broadcasting live coverage wall-to-wall at Amazon Web Services Summit. A lot of great guests, Jeff. A lot of action here, cloud. So the big news is about the enterprise. Amazon is clearly marching the enterprise. They're humble. They're on their messaging, Jeff.  Oh no, we're just in the customers. We're just in the customers. Okay, yeah, okay, got it. You're going after the enterprise, full throttle. That's what's going on here. And they are absolutely banging the drum. Price reduction, increased functionality. Price reduction, increased functionality. The cadence of the process of Amazon is like what Moore's law was with, you know, doubling your cycles, whatever Moore's law was. Amazon law has simply reduced the complexity, increased functionality, and lower the cost. Yeah, I think the message that I got out of this show that's a little bit different, but the volume was raised is it's really about innovation. You know, there's so much talk in the marketplace, not specifically in tech, but how do you get innovation in your company? How do you inspire people to innovate? How do you build a culture of innovation? And what's interesting is Amazon has a culture of innovation, but what they're really talking about is by using a service like a cloud, where it's easy to spin up an instance and take a risk and try something, that the cost to experiment, Ariel said, experimentation cost is driving to zero. And by driving the experimentation cost to zero, that encourages people to experiment, and that really drives the innovation. The other piece of that is by removing the barriers that were formerly IT, and they're talking a little bit about trying to empower IT, but by removing those barriers, you're now increasing the breadth of the people that can do that experimentation. So you're increasing experimentation to a broader set of people, and you're enabling them to do more experimentation by driving the price to zero, and the net net of that is innovation, because the stuff that doesn't work, you throw it away, the stuff that work, you drive forward. So I thought that was a pretty interesting take on why this is so transformational, and the fact that Amazon is trying to do this and actually implementing this within their own company is what enables them to really just kick out these features, product services at a torrid pace, and then Ariel even said, they have kind of a little internal game about who's driving cost out the quickest, whatever they hit that little trigger point, go ahead and pass that on to the saving. To the customer. Clearly the innovation strategy is working, they're disrupting, they're lowering the cost, increasing functionality, they're innovating while disrupting, really amazing formula, and that's, all happened at once, is a unique combination for any company in any generation of time in business. But the thing here, the show that I want to share with you that I learned is, really it's about the big bounce off of re-invent. The re-invent conference was a killer event, they launched some pretty amazing stuff, the key things were Kinesis, AppStream and WorkSpaces and some other stuff, they were point releases on some other products, but the major game changer, Jeff, was the Kinesis, AppStream and WebSpeak Spaces, clearly they're moving, advancing those products significantly, WorkSpaces now available in two zones in the east and west, soon to be all areas in geography, Kinesis, really kind of, I think they kind of knew what was going on there, they had a little twinkle in their eye, I think we effectively called it out in our analysis that it re-invent, it's going to close the loop, we absolutely called this one right, Kinesis is a home run, people are using it, it's a great aspirin, it solves a problem for developers, it puts people in a position to start doing analytics with dashboarding, and then ultimately it brings the final piece of the evolution of this Kinesis vision, and that is real-time business intelligence happening at a level that no one's ever seen before. So this is agile, this is the future, and to me, this is the modern infrastructure, the modern business era, what Amazon is doing with cloud is the printing press, and now everyone else wants a printing press, Google announces a low-cost, high-yield printing press yesterday, HP's got their cloud, they're pushing down on the street, IBM's got the reorganization, Oracle, EMC, VMware, and Pivotal have a cloud initiative, Rax, Ace, Microsoft, oh my God, and startups like Cloud Nexus, and Dockers, all these companies, so it is going to be a bloodbath. Yeah, and what they say, this is the AWS Summit, so these guys have been at it for a while, they've got a big lead, they're singularly focused, and it's going to be tough for the other guys to catch up. The other guys obviously have a big footprint in the enterprise already, that they're going to try to leverage, so it's really an extension of their existing customer base, and their products and services that are already in there. The other thing I thought was really interesting is this is a singular focus on latency, and this really comes from being born of the web, and being a web application all the way back to the original Amazon, the bookstore days would seem like forever ago, that we used to use Amazon to buy books, but when you're focused on the cloud app, it's all about latency, and we actually heard this, John, the two of us at the Fluent Show last year from the Google guys, we're talking about just constantly shading milliseconds and milliseconds and microseconds off of things to deliver this multi-screen app, having all the application in the cloud, and you think how much easier that is to not deliver it all these different devices when everything's still on the central cloud, and you just change the interface. So it is interesting, I think one of the other challenges I see for Amazon, perception or reality, because perception is reality, is the enterprise readiness and the security, which clearly Ariel said that he thinks they've covered it, they've invested a lot of money over the last four or five years in this space, and then the other piece is having the internal IT folks begin to embrace it and see the opportunity to see Amazon and AWS as an asset, and not really a threat to their job, and I think that was kind of the impact of shadow IT and the enterprise is the enterprise IT guy thinks I'm going to lose my job if this thing takes off. So they've talked a little bit about here today, trying to embrace and power and enable the internal IT folks to leverage this type of a resource, but I don't know that that's a real clear message that's made it into the enterprise yet. Well, the enterprise is very much aware of Amazon's, no doubt, the question is, I don't think Amazon is enterprise ready, or more importantly, I don't think the enterprise is ready for Amazon. So depending on how you look at it, that's two directions. But I want to ask you a question, Jeff, and I want to just end the segment this way. Let's talk about who we talked to today and what we learned from them. We had Flipboard on, we had Al Fresco, we had the Kinesis head of Kinesis, all some great people. What did you learn?  So obviously they want to bring out the educational piece, but to me, speeds the game. Cost reduction, everyone talks about economics, but speed is the action. Speed, and again, I think using the platform as a way to innovate by reducing the cost of experimentation. To me, that was really an interesting thing, and it drives back to the big data world that we're living in, that you can A-B test. It isn't about creating the perfect product and shipping it, it's about getting something out and listening to your customers, and then improving on it. It's really an agile way, not only to do software development, but to run your business. And the fact that they have the big announcement with Pam on from Infor... Pam Murphy. Pam Murphy, a huge $3 billion, or $2.5 billion, no one really knows, it's a private company, software company, that is moving, migrating their customers and all these specialty enterprise ERP systems and specialty enterprise apps to a cloud delivery model. That's a big statement. That's probably not all net new business. So to migrate that business and really start to eat some of their own business, to get, to buy into this, and then I think the other quote that came up in the keynote this morning, which is not what should go to the cloud, but what shouldn't go to the cloud. So I think we're on this march, it's just a matter of time. There'll always be some stuff in the data center, but I think we're well on our way. Well, I think what's interesting, Jeff, is to look at the different approaches. So let's look at the leaders on the track. Amazon clearly number one, far and away the lead, but do not count Google out. And I said this at Amazon re-invent. Google has scale, and Google can price subsidize the hell out of it. Look at the different styles, Andy Jassy, Harvard Business School, process-oriented guy, very metric-driven, very humble. The customer's a focus, and they look at Google Cloud, the leaderships are different. The guy who runs Google Cloud is much more engineering-oriented, academic culture, getting, making the best product on the platform on the planet, conflicting styles. Interesting dynamic between the two firms. But I think the really important thing is that Google has shown that they've got the cash flow with their core business to fund a lot of experimentation. Now with their shopping service, I don't quite understand what the Google Express thing is all about, but clearly they've got a cash flow machine on their core business that's enabling them to fund and invest in all kinds of interesting things. They got the car. So Google's clearly got the scale. They clearly got the chops that are born on the web, but I think we'll see how they get in. Clearly the Google Apps strategy is a way that they're trying to get into the enterprise. I think they'll have some success there. I know I use things all the time and it really adds collaboration to what has traditionally been a single event with a Microsoft Office suite. So it's interesting. I think HP Cloud, clearly big player in the space, putting a lot of emphasis behind it. They've got a big installed base, their customer service engineering-driven company, but they're a little bit behind. HP has a great opportunity. They have a great installed base, but their cloud is trying too much to be like Amazon. And Meg Whitman, if you're watching, you know this because you went to business school too. There's diseconomies of scale. If you try to meet a trajectory, you just can't get there. Amazon's got eight years under their belt. I think HP is mistaken in trying to copy Amazon. I think they could do what IBM's doing, change the rules of the game, shift to their strengths and services and their IT service clients. So like, I think IT is a real winner for HP. I think they could win in the cloud. I think HP has a chance, but if they try to copy Amazon too much, there's too much cat-back investment and way too much, way too much energy. You could win another way. IBM's interesting. They're all in on cloud. Blue Mix, integrating all their IBM products. I think that's a winning strategy for IBM. I think IBM and they're going to do it. Azure is going to be good. It's not called Windows Azure anymore. It's called Microsoft. Microsoft has a chance. So the enterprise clouds are significantly in play. I think they all have a chance. It's an exciting time. And the other thing too is it's kind of the integration of cloud and big data and a way to leverage that in this new business infrastructure. The two I think are tightly coupled because the two kind of enable one another and they are really helping to find a new way to develop a new way to go to market and a new way to deliver value which is not figure it out, spec it out, build it, ship it, it's get it out, listen, iterate, get it out, listen, iterate. It's really agile and it's proven to be the way and also combine that with the plug and play modularization of all these services and software components and the way they all work together. It's a really exciting time and I'm glad we're here, John. You know, I think it's really going to be the gauntlet thrown down by Google and I think the enterprise guys got to figure out how they're going to play with that because those are massive, massive players with a lot of subsidy behind them and a lot of functionality. So this is theCUBE. We are here live in San Francisco. This is where the action is. This is the Amazon web services. This is exclusive silicon angle. Cube coverage of what's going on in the cloud communities. Our focus on the cloud is going to be ramped up again. You're going to see us at OpenStack, a lot of other events. The Cube is a great place to bring on conversations, trusted conversations and also crowd chat.net slash AWS summit. So Jeff, great job today, great lineup. Again, just getting inside the animal of AWS. Understanding the factory, great innovation. They're disrupting, commoditizing, at the same time innovating. A rare formula. I love this cloud business. Love the big data business. It's exciting times. Stay tuned with theCUBE. It's looking angle and thanks for the team and Mary, Kamarata at Amazon for setting everything up. Really appreciate it. Keep following theCUBE and stay tuned and we'll see you next time.