 Dana and our three excellent speakers. Yes, thank you very much. Thank you to the open group for hosting us and a big welcome to join again. I'm Daniel Gardner, a Principal Analyst in Interagustination, and I'm often the role of moderating panels and podcasts. I've been covering IT and infrastructure and the enterprise environment, the data center environment for 20 plus years. So I'm delighted to be here with our guests. We're here with Don Runcato, who's a chief strategy architect at the Boeing Company. He's got 25 years of experience and is an enterprise architect. He's often working these days at smart city projects and I've had the pleasure of working on other discussion projects with Don. So welcome. Also here with Florian Mayer is the project manager of BMW. It involves mobility technologies, so on-demand mobility represents BMW and consortium. We are in trouble with local, biotech, biotech, thank you. Welcome to our new list. And Ron Schultz, who we heard from just recently this afternoon, he's involved in the Groups Universal Data Alliance framework and is the manager of data-analyzing AFC. So listening to a lot of the discussions over the past day or two, I've been toying with the idea are we in a golden age of data business value or are we entering it? What's preventing us from attaining the idea that data can allow businesses to better understand their objectives, better monetize, better understand the user experience and execute on it seems to be a lot of big parts in place. Am I right? Are we in a golden age or are we not realizing our potential? I think we're not quite there yet but I think we're on the edge of it. What I mean by that is this notion of I'll sort of put it in two categories. This notion of universality of data. You've heard this morning this afternoon about how we have to classify and attack data. And there's some friction associated with that. It takes time, it takes effort, it takes a lot of skills. And ultimately we get to a point where data is intuitively classified and think or predict or tag if you vote. And all kinds of applications, all manner of data acquisition, that's through the first step. It's getting that universality to happen. The second is motivation. I think that we have as a world or as a galaxy of carbon-based forms figured out whether we're chasing value or profit. And I think when those two pieces settle down then we can head off sort of as a as a planet if you will to resolve these problems. Do we need to execute on the profit first before we get to the value? That's a good question. I don't know because there's increasingly a rise in nonprofits that are distributing back to the community today and sort of my slides and some of the others you've seen and sort of everyone's like we hear all about these Apache licensed things or the Linux's of the world or the young man is now updated personally 2.5 million Wikipedia articles two to three hours a day for the last 12 years. That speaks to this notion that that story is growing because individuals as well as organizations are realizing that the profit is not the motivator it's getting to the next thing. And so we can take advantage of that in terms of returning it to a community of investors where we can just use it to reliferate the story itself. So, I don't know. Ron, you see as a cusp of a golden age and is that cutting across both profit and altruistic value of society? Well, I believe we're close and I truly believe that we could get there but I truly believe that there's got to be some ultimately everything comes down to supply and demand and the demand side right now is probably the data science proportion. I was very, you might say excited about data science getting some significant interest within major companies and the potential that data can release really has to be demand-driven and so if the data scientist could begin to see that a concept like ODAP, as an example could be an enabler for them to get there quicker then I think it needs the exposure of the data science folks before that would happen. So I have a 19-year-old son and I've been encouraging him to become a data scientist. He says, no dad, I want to be in a creative endeavor. And I said, you have no idea this is about the most creative thing you could be doing to have the most impact on the world but he still doesn't quite get that. What's the catalyst? What's the humphrey we need to get over that sort of compels the idea that data-driven analytics, data science types of pursuits are in fact a foundational aspect to so much of what we've defined instead of you dad. I really don't understand that. Well, I believe it's important to understand the motivation. I think the data being available and being broadly available at this point in time is just so much greater than it has been before and so much easier to access the data and especially understanding the data due to several reasons that I think data science is really important. So in the business world corporations, whether they're motivated as I just profit or maintaining the quality of life for all of their employees seems to me that they get the idea that the better they are at data analytics the better and more successful they're going to be as a company. And in a smart cities environment most governments, local states, federal, around the world also recognize that it's getting to the point where it seems to be, I don't know, ingrained in the organization culturally data driven rather than scientifically. Any thoughts about where the cultural shift needs to happen education, incentives, behavioral patterns what do we sort of need to see happen in order for this to become a cultural phenomenon rather than a technical one. Then you bring us to our cities. The deal is that people are flocking the cities worldwide. They're not flocking to move to the country they're all moving to the cities. And so cities, especially European ones have jumped into this notion of smart city as a way to make their cities more attractive and more attractive to make them more livable to make them more efficient of the spaces that they have to make their air cleaner to make their trees and grass greener One of the things is that while companies seek to be more profitable they may not be seeking to get more employees or they may not be seeking to make the air cleaner they may not be seeking to make the grass greener to make more people move to the cities. So they're not quite aligned although, I like this fact that I'm describing about that Ron has mentioned about supplying man with data practitioners by making data more universally more palatable interesting on your son's behalf to make that once that's happening you know as you see the open groups that have opened the door to having a standard certification around it now you open the door to universality to making things understandable to everyone it's no longer mysterious data it's now practically usable viable visual data one of the comments that one of the folks made on the stage 5DF data visual I purposely put GraphML on the board earlier because that's the first step is to make data visual as we make it more creative I'm saying that again for your son creative and visual we make it more palatable and universal therefore we get more attraction to smart cities and ultimately to companies and to any sort of thematic activities out in society attractive show the metrics show why doing this is better using objective measures and then we get people doing it as we were talking about large scale level governments and enterprises what if we drill down to the household I like to think I have a data driven household I make decisions on what I purchase in the supermarket and we're going to take it away now that we've never done five years ago I can actually analyze what I buy and what makes sense to buy in bulk in advance should I use this service or that service so as a consumer I find myself more data driven when it comes to the environment in my house keeping it more but not too more but not too cool in the summer either I'm more data driven I'm taking information into many senses I can get and I'm using cloud services as best I can and I'm trying to be efficient and yes I can save a plan but maybe people are more data driven than they realize these days but maybe that's the connection that we need to pursue is how to make people understand the micro data driven world that they're buying themselves in and then applying that to a larger scale any thoughts about the connection between a home as an enterprise and business and culture and society I think it's just a perfect example you mentioned it's in my opinion mostly about creating a win-win situation being it for the customer being it for a company or even being it for a smart city and I think the data approach is just one way you can find that and even prove that win-win situation is very easy as soon as you get it viable for the end consumer being somebody living in their home saying I want this guess what it'll happen real quick now how do you make that happen is the end consumer at within the home they have to get visibility to what is possible if they have visibility to what is possible and there's enough pilots that have happened to get media coverage then what happened Dave you're such a polite what do you have with these individuals in a household those set up folk ways ways we do it in the data household and it goes on to your children and family and spouse now we get neighborhood more ways how we typically do it in this community if it's successful because you're an international guide, you have an international presence on the web tens of thousands of people here then it becomes sort of a it's a consensus thing, that's the data way it's the right way, I've seen it, I've used it I like the story once you have cultural consensus then you have demand and bias for that particular perspective this is why we hear this with the open room is we get consensus of these ways of doing things like a taxon a way of doing a functional architecture and then people take home that pattern of essentially a conceptual idea with a functional structure of main products and categories and they go home and they do it and then we're all trying to figure out how to tune it so if we're sort of mashing our teeth over why these things happen slowly I would offer you that things are happening so rapidly now with Howard Scooter in many cities that's taken on a matter of months, the whole idea of Uber and Lyft a year or two ago that happened the other night I did go into the airport using your phone rather than a piece of paper to code yourself and check in so things can happen really fast if people see an advantage to it and so we talk about things maybe it's an issue you talk about data driven household but really it's about convenience and automation and efficiency being stingy, saving a few dollars saving a few minutes so the idea of being data driven is to me more of a lifestyle issue as a business you're more profitable you're more efficient, more productive but as an individual I have a better lifestyle I have control over my lifestyle I have a sense of what my spending on spending would be so maybe we can talk about this in terms of the human payback of time, convenience optimization of time and efficiency so I mean you mentioned sort of the full court of almost, I'll call the American experience maybe the Americans finished becoming universal but I think you just codified the notion of life, liberty, pursuit of happiness and health care and an internet connection and so all those are rolling for each other and so then I mean that's a pattern it's a good pattern and the notion is can we pattern the rest of the world to that experience? I mean I think you know the American experience you know somehow early on experience invented something called social security retirement and never existed in the world before that now you know in places like Norway thank you in Switzerland we're talking about things like $125,000 or $35,000 USD in coming year just because you have to be a citizen on planet earth in this country and so those are all about this evolving pattern that you've described for being in your household and making it more sort of university so I'm going to go back to the story that the beauty of our standards are that allows you to do TOGAF or Kodath or OPI3 anywhere in the world in the galaxy I should say in the same way and if you said it was a variance between what we could measure that to figure out what the best way for it is so all this comes together and sort of really cool story so back to your golden age maybe we've always been in the golden age but I think that we're on the edges of the maker thing that might just be with my technical optimism there Mr. Flores my technical optimism tells me that as we get smarter metrics on our behaviors and patterns we can improve them and make them better alright so we were in the middle talking about cities and governments and enterprises and we went micro to lifestyle and households let's go even further up 100,000 feet to the general economy just recently we've been hearing that gee we had a terrible recession beginning in 2008 and crawled our way out in 2012 and we've been petering up but not this grand boom even with low unemployment even with low interest rates the new normal the economists are not coming to conclude it's going to be continued low interest rates continued low inflation continued low unemployment but not a boom not a surge in life quality of life earnings are flat the many statistics about what actually makes you as a business or an individual more successful are flat so it seems to me that there's another opportunity to translate what a data-driven organization is to the productivity bottom line that if we're in a stagnant essentially global economy what else do we have but more data more efficiency and e-cow higher quality life is there a bigger economic story here that we're not bringing to the fore well I guess the first question I sort of ask back in general why is it that we think that things have to be better economically instead of just more value to a thing you know I keep thinking of Charlie the chocolate factory the idea is this kid had a 10 cent bar of chocolate and he'd make it last for a month and one could argue that despite the the lifestyle of the Charlie family that it was quite poor but there might have been more happiness there than someone who lives in a 15,000 foot length mansion in Scottsdale, Arizona so I'm not sure if that's any more a factor for the happiness or success of society so I'll ask back are the ways of our past the mechanisms for our ways going forward but in the way of technology we've gone from sort of top down the corner stacks of three to five hundred pages and 50 million lines of code to now nobody wants that old NASA code they want to just do a space X and get five people together write 10,000 lines of code in the model and build a rocket ship it's cheaper and it doesn't take it as long and so often the ways of our past aren't necessarily the ingredients of our future so maybe that our drive to success is not particularly shown in the notion of a gross national product maybe those numbers objectively weren't as accurate as we think they were because today we have better models but certainly our news factor is different but I'm not so much buying that we're not doing better this year than we were in previous years and I'll again as we have technology and optimism I don't know I believe that one of the inhibitors which is sort of what you're alluding to is that many businesses are still process centered they want to change or improve their processes and data data is a secondary thought in other words being data driven because you look at the value stream of the data going through your enterprise and adjust the processes to best accommodate how you can move that data through the enterprise which I call the life lead of the enterprise how you can move that data more effectively to make better decisions but most schools still probably for computer science what are your processes your process process driven we need to change our schools to think data driven and what are the value streams of the information going through the enterprise and then adjust the process I think that's a fundamental barrier to getting to the economic adjustments the enterprise if you want to be agile you better have your data moving through fluidity and if your process is centered it's not going to happen so I accept that we should perhaps check the premise that a high growth is synonymous with success but Wall Street still judges companies that if you're not growing then you're failing that Apple computer is now making 80 billion dollars a quarter of a revenue but because they're not growing each other their stock is flat and their price range ratio is college below average it just seems that the capitalist system rates growth of stagnation and the fact is that a large portion of the populace feels stagnant that they're not growing in their real terms and that therefore this is creating equality and we're starting to see political and social ramifications from that and if being more data driven or as a citizen and as a society might allow for people to share more of a pie by being more efficient because when you go it might be profitability it might be sustainability it might be simplification but the data driven process is what allows those enemy cells to happen much more likely than the blind all or nothing you could buy a new car or lease a new car or it's a piece of junk but there's arbitrage I might want a good car for the two months and somewhere when I drive it close and I won't want a good car in the winter when I don't drive it much so what can I do with it? What do you mind being more sustainable to be more efficient to be less dragging the economy but you could never do that without this sustainability profitability growth at all costs or simply making a better household for you if you're getting it I love that story that you're being in so I have a question our society is gauged gross national product based on certain metrics but it didn't take into account how many miners lost their lives in mines or how many people died of some one more illness because of some chemical that they're breathing in but we now have the ability to take in complex metrology that we never ever could before because essentially we've limited ourselves to linear equations of that number of variables and now we have the ability to take on gigantic high-end matrices of thousands and thousands of variables and compute them all at the same time within milliseconds cock up there for a reason cock goes all about processing data streams within 100 milliseconds or less and so we're now maybe our society is actually growing in different kinds of areas maybe there's more kids that lived to be 5 or 10 years of age or there's less legs broken or fingers lost or people living longer who are healthier and contributing to society or maybe people can volunteer for hours non-paid to contribute to certain values of their neighbors and community the sense of metrics maybe this is what value is is this growing industry of value and maybe a declining interest of profit so can you graph success in society if you don't take in all the metrics what's it like to run a 1.78 billion person society like China I don't even have one what's it like to run a 1.7.5 billion person earth and 14% of them live on less than $2 a day well we need to measure that maybe instead of measuring apple iPhones we find out what people are doing with apple iPhones and what they're doing to make society better with the metrics that we can now gather we may find that the velocity that we're moving is better than we think and it's in a different direction but ultimately is the value of society the value of the few that invest or is it the 14% that live on $2 a day so perhaps a common thread here is we've heard the intelligent enterprise being banded about by some big vendors as the marketing term but it seems that it's the driving of intelligence into more aspects of life, business, society government intelligence and that there's a fairly broad democratization of that intelligence if you choose to pursue it and the tools are available to you what is it about intelligence that regardless of the outcome that you're seeking we can bring about in greater more intelligence to more aspects of more people's lives, more business small business enterprise branch offices in different countries marketing intelligent enterprise I like the intelligent plant smart plant but it's still abstract I'm trying to be more intelligent about how I shop in my house can we actually take a step from being data driven and the tools and standards we're discussing and convince people that they can be more intelligent regardless of how they want to execute that whether it's sustainability or profitability or some other stuff what is it better decisions better decisions ultimately we everybody makes decisions practically every day I'm sure so how can you make better decisions based on having access to the data that you need to do I like everybody I think that's exactly the point about it I don't know if you can ask people to be more intelligent to be able to make better decisions so instead of the highest paid person's opinion dictating what happens in the courtroom or the oldest most powerful person in the house his dad, his mom his gender why not a true data driven decision at every level on every place in society I like it survival of fitness for smart humans doesn't make sense for animals but it makes a difference for humans it just means that you're craftier or evil than your brother so why can't we just have intelligence for everyone instead of intelligence for the few that can afford it or happen to be lucky enough or being born of the right of the parents or the neighborhood it gave that to them why can't we just as I think you're alluding to why can't intelligence be for everyone why can't we figure out how to move earth ahead rather than some selected individuals this notion of selected survivors or survivorship or success not only the few get to own and have leads to a notion of society that doesn't seem like fair to me so the timing is good we've had these occurrences in societies to the United States but I think in Europe as well where being Mike is right that it's not so popular anymore that there's me too or political correctness the idea that you could impose your will on somebody else simply because you can as a data driven empirical formula made rational decision seems to be always a thing so maybe this is a good time in our culture and our society to say we're going to give you the tools we have the tools we're standardizing more data, more information so decisions will be made not based on fiat or power or political leverage exploitation but pure rational decision making it's the spark versus Kirk approach to decision making is smart well it needs a good many outweigh the needs of the few the primary objective for that certainly in that sense I mean why is it that because you genetically didn't get a full kid if you were born that you should be at some disadvantage and so on for that deficiency we have a community of people that can help through all those sorts of things one from prenatal care which is the US is some of the worst in the world but this notion is that we should use technology and value in this data science and the metrics that we get to help all of us not just a few benefit to be more profitable data driven decision making is a great people option it's phenomenal so if you take that full out earlier with this notion of supply and demand on one end and the notion of the data scientist maybe there's a new valuation that you're describing that says that once that happens the demand for the quality of metrics to be able to improve everything all walks of life all people should just sort of happen the question becomes is that how can that what does it take to move away from a society where you buy data to where you just sort of gifted survive the whole thing with the BMW I asked the question about do you share data with other brands of cars and I tell that for a reason and I know I'm being taped and you know my name but there are car companies that threw me out of their office in the last couple of years because I say why is it that your brand won't share with a Volkswagen or some other brand well you should have bought our brand doesn't seem quite fair to me what seems fair is you find a pothole or a kid on a bicycle in the dark alongside the highway there's something to be done about it not run over the pothole, not sharing for a kid so on one side we have open accessible data driven decision making as the equalizer but on the other side hoarding data hoarding analysis that puts you in an advantage in any level whether it's household, neighborhood city, government enterprise it's also an interesting concept, those who control and even hoard and exploit the data to the detriment of their capacity how do we project the data scientist as equalizer rather than you've got to kill some content before you start it that's a great question no, lots of companies the most senior executives hold the data close to their best only share that which they need to share in order to get their will accomplished how do we put a value on data sharing and data accessible that prevents undo hoarding but also makes it covered, protected and cherished if the data loses value all together that's not necessarily the right way to go but if it's too high the value where people will hoard it to waltz how do we make a balanced approach to recognizing value to data and access to data that supports some of these goals isn't that the question about the winning situation again because if you fund that that is my opinion part of the solution is it advantageous to more people than that would be a critical mass to prevent hoarding or it strengths me that when we vote in the US is this notion of majority 51% and one of the things I've had a good time with an open group or working in Europe is a notion of consensus that every one of creeds are we don't do the thing and how does one move from where the 51% you know the 49 could go and convince her to push in the corner and work them over to get them to sort of roll their votes and to become the 51% as compared to we either all in a career we just don't do this thing model is that a better model it strikes me that in the US the constitution got to this point where there's a 70% in some place I can't remember what it is in our story is this notion that we've realized there are situations where we need to be more consensus oriented but you know this notion of being able to share fairly to give fair vote and fair sort of review of things is something that I think we need to figure out because we can't just allow it to be value of something the highest bidder gets to bid for data we have to do it in a way that speaks to everyone's citizenship the universality of this data so to start to close this off we started talking about the business value from data but we ended up talking about power we ended up talking about where control over data will happen and how that has yet to be really teased out it's not even defined it strikes me as a takeaway from that that the data scientist is going to be a very powerful and important individual office within companies cities, households making that decision about what data do we share in order for a common good win-win situation only for it that's the decision that the data scientist is going to have a big role in a very powerful position can make a great company can make a great society so here's to the data scientist a position that's not just a professionally certified ad-lib pages career track really somebody who can have a momentous impact on both their company as well as their society any questions from the audience