Humanize AI and Infused Analytics Everywhere with Guy Levy-Yurista | Data Changemakers Festival

Our next speaker, guy levy, urista guy, might be the most interesting man in the world. Hes, an executive leader and product and technology expert, with over 25 years of experience, hes been successful in developing and driving strategies to launch and strengthen product portfolios, increase revenue and profit and improve competitive market positioning guy was also one of israels, very first sommeliers and editor Of the israeli wine and gourmet magazine for five years, hes also led two startups through liquidity events within four years and of course he is currently chief strategy officer at one of the worlds.

Most innovative and fastest growing companies size sense, which is currently valued at over a billion dollars. So im going to stop sharing my screen, welcome guy and take it away. Thank you very much, much appreciated uh. Obviously the one is the important part you can see behind me, but let me instead share also my screen lets see and optimize. It share sounds optimized for video clip all good, all right, hope, everyones having a good time today. Uh, you can see me thanks to the uh benefit of a corona ive been a

Coronavirus ive been sitting in my wine cellar in the dc area for a uh about a year now, which is awesome for the moon. You can see all the empty bottles behind me terrible for the budget, but it is what it is uh and i did want to uh chat quickly, uh today, a bit about uh, humanizing, ai and uh and infusing analytics everywhere, uh. As mickey said, im the the chief strategy officer for science, which is sort of a its an

Interesting position allows me to think about stuff uh most of the time and then drive change. That is, that comes in quantum leaps that has significant impact uh, the quick you know 60 seconds or less, who is size since and what it says is all about. Uh is this: uh were the leading ai driven platform for infusing, analytics everywhere, a business intelligence analytics company uh. We are the leader in the third generation uh in this market, uh currently uh about 850 employees we spread globally. Hq is in new york.

Very large offices in tel aviv, where we hail from san francisco, scottsdale kiev, regional offices in london, tokyo, melbourne sydney and on and on and on over 2 000 customers globally and doing a lot of fun. Getting some nice recognition from the analyst. Even though many respects and no offense to the analysts on the call, analysts mainly are able to predict the past, but this is what were here for to shape the future.

Um, so when we, when we think about what is it that we do, what is the analytics platform, the sex analytics platform looks like well its a full-fledged solution, all the way from connecting to all the data. Whatever data you have out, there originally sucking the data in to our semantic layer, the elastic cube using data pipelines. We build our own analysis or on an

Engine we will learn predictive analytics that goes beyond that code, driven low code, no code heavy code and then have the dashboards, but that was the original. Take that to the next level run live on cloud data, warehouses connect to third parties through apis. The entire architecture uh for processes is all api based its all uh based on on that uh, and it has nothing to do uh uh with the uh. You know the classic monolith, the way people use to code and then

Linux windows, on-prem cloud, hybrid, aws, azure gcp, you name, it were there and the beauty in all of this is that it is really and that’s a core belief of who we are and what were trying to do. It is about embedding those insights in everywhere, and that goes to this. What i call the fallacy of becoming a data driven organization, everyones talking about being a data driven organization, everyones talking about

Digital transformation id like to call bs here id say what really happens is big organizations move forward. They they analyze all sorts of people, processes and technologies and put them all together in different ways. Everyones declared data, democratization were all good digital transformation check mark and then what people realize is that 90 of the efforts going for efficiency purposes and not real innovation, they dont transform you just modernize. Just got yourself a fancy new car. You

never really got a a hover hovering car or a flying rocket and so to quote a uh a vaudeville artist from from a century ago says will rogers even if you’re in sitting on the or on the right track youll get run over by the train if you just sit there 77 focused on operational efficiencies versus innovation innovation is critical critical to be able to really disrupt the market we heard that in the previous talk uh.

about that they need to go to really into disruption to be able to to look forward and lead and so i want to talk a bit uh about why we should innovate and what really goes at the heart of those analytics ai machine learning so the question we should really ask ourselves is how do we understand things if we stop.

to understand understanding then we realize that it is really centric around the human being and and i keep telling it to people technology is meaningless its meaningless unless unless it has an impact on human being and and what reason is that decision and action are all triggered by emotion the amygdala is what really allows us to make a decision people have had their amygdala uh hijacked or suffering some damage they cannot make a decision even though they might be super smart if you have a damage to do the ability.

to feel emotions you are stuck literally stuck um we are more not creatures of narrative we always talk about creating points the past present the future in a certain narrative arc and we tell us of the story about our life what is our narrative who we are where do we come from how do we got here where we headed from here and so the need to be able to do that is is an.

innate need of human beings and part of what drives us from an emotional standpoint um and again data is worthless unless there’s a coherent narrative that connects all those points together and with that and and connecting the fact that we are visual centric species you need to add these to narrative and data to uh to make that this becomes an imperative so with that ill actually give a shout out to an amazing piece that i read by another panelist here.

uh brent brent dykes uh i dont think weve ever met but i loved your piece that youve uh posted on forbes back in and the short of it is if you look at visuals and narrative and then you can engage narrative and data will explain visuals and data will enlighten all the three of them can drive to change because the three of them will drive that emotion uh and that’s such a powerful powerful.

message narrative science and sciences have been partners i want to say four years now uh and and weve seen the power we together combine our control of the data of visualization of the narrative and the ability to drive change in the market and so with that in mind all of this in mind im gonna take you to the past lets take a blaster to pass to 2016 second half of 2016 where we decided to launch a sizes everywhere program now the sizes everywhere program back then was a radical idea lets do radical.

innovation really go out there and do something completely crazy and start ex start um exploring the deconstruction of the dashboard everything everyone in our industry is all about these big dashboards big websites you got the widgets throughout and no one is adopting that no one is going to a dashboard to interact with the data so what we were thinking is what if instead of this big dashboard.

where would they actually deconstruct it to widgets into pieces of insights and get those insights at the right place and the right time to people so we started throwing ideas and let those ideas just go out there we started with some anomaly detection pushing to uh pushing information to peoples phone i still remember 8 30 p m getting on the path train from new york uh to go to hoboken uh getting a push message that says well.

we just crossed a certain milestone in revenue that’s great um when we connected to the amazon echo i cannot mention her name shes hovering behind my back here and shell respond and together with narrative science we actually did an amazing demo at the gardner emerging technology event beginning of i want to say 2017 uh where on stage uh kt hughes and and myself we were there uh.

demonstrating how we can connect the data and through uh natural language querying voicing a question and then using natural language generating generation to get the information back uh and for those of you that may have been at that event that was one of the biggest scales of my life uh we tested it all at 9am in the morning worked flawlessly and go uh echo good morning uh and then echo would start that would.

be great and then we went in the afternoon after for the live event 500 people i said the alexa good afternoon and all of a sudden uh she comes back to me oh there she is alexa stop uh and uh and at that point in time she says you can train your voice to alexa and at that point in time i im like totally shocked its like this entire demo 500 people is going to fail thankfully it didnt it worked uh perfectly fine but that was a great example how you can use voice interaction to get.

the data you need just in time really the same connected to iot smart slides uh we released the license bottle in ai machine learning chat bot ill talk about it in a stack license blocks from dashboards to up so there’s a lot of interesting experimentation talk about innovation disruption it was really about giving ourselves permission to go outside to the the outside box really deliver stuff.

that’s amazing and also some stuff that wasnt as successful with the flicks and auto generated insights videos galaxy a personalized data market psyscan where we tokenize dashboards for objects and then hunch a neural network based approximation at the edge so we keep playing with stuff but the real message is this innovation and so how do you innovate for that ill ill tell you a secret my first job out of college was q now im sure youve all seen james bond movies what i did uh was i was the keeper.

master the queue the one that invested invisible cars exploding pens for the special forces in israel and so for five years that’s what i did was like treat the laws of physics as my recommendation and just make amazing things happen so this is what we started we started by imagining a desired future introduced bi everywhere and then we went to hollywood and created a video that was a uh the aspirational video what this kind of technology should look like every day were moved to act our senses stimulated by simple prompts that move us to action.

they affect not only what we do but how fast we do it what would happen if our data could affect our business performance in the same way turning business intelligence into business action complex information sourced from anywhere ingested into a singular elegant experience at the speed of light what if our data could speak to us what are our sales numbers today current sales have reached 63 percent growth today what if it had a heartbeat what if our data was alive with sisense now it is.

by the way i hope you could you could hear the uh sound properly and the video wasnt choppy let me know in the chat box if it went okay but that sort of example that’s how we started we went in and we spent i think this was like i dont know fifty thousand dollars just to build a video that would show us.

what is the vision thanks ariana uh and and to make sure that uh really this is where where we we can go with it oh a sec and then we defined the next realm of business analytics about analyzing no longer require you to be anchored to a screen and its about really getting you to meet data and more data insights wherever you are basically bend reality around the human not bend human towards reality um and so lets ignore perceived.

limitations back in 2016 lets say you have a car and then you can interact with everything in your car you have a dashboard that can appear on the screen while the car auto drives you uh what if you can change the lighting in your work environment uh to give you a sense of the kpi so that the work environment can emotionally impact you and make sure that you have a sense of what is really going on on your business without actually going to a dashboard or.

even go to a room and while you see the hologram emerging in the middle of the of the uh conference room and people can actually look at that and get a better sense of where things are headed the next thing we did is actually start delivering against those so we delivered iot devices connect them chatbots bot flat platforms push identifications personal assistant.

devices and then we figured lets go really big really really big uh so we built a chatbot connected uh it to the narrative science technology and released it for free to over 2 billion 2 billion people i wish you were 2 billion dollars uh 2 billion people uh and allowed them to play with it essentially it was a chatbot that you can friend on your facebook messenger or skype or.

slack and just by dragging a cs3 file into it you you get the top 50 machine learning ai insights that isis derives its all a cloud service the minute you you drop away the data goes away we dont retain the data and it was a pure let people enjoy and get a sense of what uh whats really is is going with the data this is what uh this is a promotion we did for that [Applause] [Applause] [Applause].

and this is beautiful because what we see what we saw when we unleashed it is think about it its a quarter of humanity that got access now to csv ai machine learning for free we started seeing people from india and by the way you dont need to be a customer of sizes just you dont need to register you dont need to create an account just.

friend bottle and you can start going we saw people in india are dropping csv files about a uh rainfall patterns in order to understand better how they can help them with agriculture and and we saw other similar examples and so with all those experimentations we arrive at present time at present time as you can see we launched you can see the logo i have.

on my swag is all is different than the logo that we now have we just announced a new logo uh last week so im still waiting for the much more newest swag to come but it is about the fusion the element of fusion and what were talking about is really this to go beyond data driven uh into intelligence infusion into the ability to infuse intelligence its not about data its about information its about what does it all mean to the human being and make sure that you embed.

this this infusion of insights into workflows into real-time decisions to empower your workforce and to to drive perpetual innovation innovation is sort of the lifeblood of a uh of any good business and so this is what the new reality is uh and this is how we promote it these days data can drive you or drown you and data locked in dashboards and spreadsheets its just fun facts you need a better.

way to put your data to work that’s what you get with sisense with sisense analytics are infused right into your applications and workflows so you dont have to go back and forth between multiple dashboards or displays to get the answers you need with sisense your team can make real-time decisions that allow you to stay ahead of trends identify new revenue opportunities and outpace competitors and when you infuse psi sense in your products your customers get the kind of.

customizable ai powered experiences that will help you make your brand their preference simplify data analysis build customized experiences get limitless scale flexibility and agility for the business of today and tomorrow go beyond the dashboard and infuse analytics everywhere with sisense all right good and and by the way i see a question from terry regarding privacy i will mention briefly and we can talk about it later at the end terry.

that uh for the data for bottle we put the data in the cloud we never have visibility to the data we dont know whats the data we can see the title the data is rainfall in india what have you um and then we dump the data away we dont keep it its much cheaper not to keep the data so were not using the data were not using it for training in our system we just provide this service this insights to the user on the other end and then.

walk away from it but obviously privacy is a considerable consideration we can talk about it some more in the qa in a section uh so when we talk when we look and talk about the intelligence infusion life cycle uh its about the fusion of strategy what astrology looks like and it has to do with what are your objectives what are the use cases that you’re targeting and.

what are the requirements that you put in place uh for those and then you combine on the other end this notion of cloud on-prem up what is the form factor that is relevant for you and when you connect all the data uh that comes from cloud on prem up and with the with the strategy then you have this virtual cycle that goes in when you fuse data you drive it for the.

uh for your right tasks and goals and it drives business applications workflows and processes so instead of getting a human being tethering them to a screen tethering them to a dashboard and actually making sure that they can indeed interact with it when theyre comfortable not when the computer is comfortable then you push it in the right place and you infuse it into business for business.

optimization as well as for innovation for market disruption for new products new features new markets its about enabling and giving capabilities that beforehand where and there and its its a virtual cycle because new market disruption new products can drive new requirements new use cases and new objectives the same goes to business optimization what you have this amazing cycle this fusion like a fusion engine that youve built together that allows you uh to indeed deliver that type of capabilities and so if when we imagine uh what this is all about.

this is how we imagine it what does it mean to our customers and there’s at the end of the day innovation is great like we can talk about all the fancy words that has to do with the you know how uh bots and personal assistants but if a customer isnt using it then its meaningless its not it doesnt mean anything and so i wont give you the full uh nascar slide with tons of logos but ive.

picked and chosen the specific use cases we have a customer that’s infusing real-time drug trial data in their salesforce so theyre running all the sorts of drug trials in the healthcare business theyre checking directly in the salesforce environment and crm to be able to reach back to their customers and and provide them with better service uh we have another customer that’s using them to to integrate inside their internal ordering processes uh to to increase efficiency we got a fortune 50 company uh that is built in healthcare alarm system for.

nurses and so when a nurse gets an alarm it does its no longer a dashboard its an alarm that comes in something of a beeper or a uh a smartphone that alarm already has the kpis the parameters for the patient what is the issue whats happening its all in real time and the data by the time they reach the bed of the patient by the time they reach the patient.

they already know the background they dont need to go there and then open the chart to see whats going on they already have that information uh erp systems weve seen hr teams infusing sizes to improve payroll processes before they cut checks no one likes to get a terrible check out there or a mistake weve got a travel management giant that.

identifies uh travel issues in real time within their travel management application financial services uh they manage the intraday trading portal directly where traders spend their time traders dont need to switch screens or there’s no context switching that goes with that especially when you’re busy with those kind of uh intraday uh tradings technology companies uh infuse kpis into slack you saw some examples like bottle is no longer active we shut down.

a bunch of stuff but now were enabling organizations to take that technology and enable it for them to deliver uh the real benefit of it uh one of the biggest rpa providers in the world now provides insights machine learning generated insight inside their rpa in order to improve performance and the list goes on and on and on there are many many examples and what we see is we start with a customer we tell them look you can infuse those insights where your people are let your people be your people like the great book by native science.

uh and we give them that information so they need information where they need to make the information this is really powerful and its an embodiment of of that type of capability and obviously a cell automation lets see i got some q a coming in uh all right ill go to the question soon uh and so it really its about beyond.

business intelligence to to market disruption this is whats really driving all of this its about simplifying data analysis build customized experience that is customized around around the human being not around processes or machines that involves the business because its about infusing intelligence everywhere its no longer about just digital transformation digital transformation is modernization and efficiency driven were talking about market disruption and growth the big big important war that every business owner should really uh respect and expect and so this is the present this is when.

we look at the market now when we look at what really is needed its not another dashboard whats new is really another insight and our input to the human being that is human bite size where you can really benefit from it but that’s present remember narrative combines the the past and the future and i am a trekkie uh for those of you that really understand the difference.

this is the uh ncc 1701 e not d but uh who cares uh unless you really are a worker like me and when we think about where can we take this notion of embedding to the next level where can we really put it to action somewhere else then the final frontier is to infusing virtual reality not just infusing reality uh for those of you that have read ready player one an amazing book an okay movie but an amazing book and so.

what were looking now is virtual reality what weve done in uh scientists recognize that for any practical purposes reality does not exist outside our minds im a physicist by training my phd in physics and yet ill tell you its about the way we perceive reality in our mind that’s really matters and so today with virtual reality we can control manipulating adjust perception to a great degree and that will increase to an amazing degree in the next decade um and so were the cusp in my mind of the emergence of the internet 2.

0 the fully immersive xr vr ar you choose your acronym uh your initials virtuality ar a augmented reality x reality whatever you um so what weve done in sizes is recognizing that the future of work doesnt need to happen in the office and corona has proved it to all of us uh but weve built is an entire with the help of a partner real vr uh weve built our own environment for creativity serendipity and a bit of productivity and its its basically its a virtual villa that exists in virtual space where we.

embed analytics there and so when you go into the villa you can see how the analytics is infused on the villa wall uh welcome to the slices villa unicorns assemble and you can just experience the villa but its much more than just visualization it is a completely new environment that really can take it to the next level pacific villa lets see hopefully it.

starts there it is its in the in the french riviera we put in french where monaco is behind me by the way im sitting on the outside going into the villa its a nice villa its overlooking the mediterranean i can go in i i hop all over the place you can see the logo you can see the uh uh the dashboard and when we do stand-up meetings we can meet there foreign will see latest tracks and then we can head outside we can have.

meetings by the pool sometimes we enjoy meeting uh true business meeting work meeting in the jacuzzi and we put a lot of uh meeting places they out there on the uh on the roof mediterranean is below me uh we can jump if you insist on being formal into a conference room so we have our boardroom overlooking the mediterranean and the entire area i chose a seat later on i got the screen i can meet other folks there and when the meeting.

really gets boring i can just take off and fly because we all wanted to secretly the ability to fly and now i can fly you can see there’s a village that we uh designed below the villa uh so i can fly in superman like uh into the uh into that area when i get close to the ground the polygons of the vineyard and you can see one is a big thing for me begin to appear and i can fly close to the vineyards uh enjoy myself have a a great time.

flying its very relaxing i must tell you uh and go back and have the meeting weve been weve been meeting there with a bunch of teams almost daily now different teams we just added new folks to uh to the license villa and and the plan is to get all up to a thousand people soon uh from science in this villa enjoying analytics everywhere but also enjoying the environment everywhere because the important thing for us to note is that we are all unique and so every one of us is different.

you can be with crazy hair youll be very organized and so on no hair what have you and but it is about creating analytics and infusing it around you in a way that that matches what you need what what is needed for you thank you and i will open a question and stephen i see you care live long and prosper all right im open to any questions weve got a few questions in the uh qa box guy um steven asks when we get to the stage where data analytics moves action what will humans.

do will the human be needed ah excellent question uh im a huge believer that we are progressing to a point probably within a decade that we will see automated automated machines uh that run the business to a great degree in a way it would uh it would push humans to the more creative aspects of jobs at least in the first decade before machines take over creativity as well but it would be more on the lines all right system please lets uh uh lets optimize ourselves to.

this segment of the market that machine recommended and now the human being can provide some guidance and let the machine do more of the heavy lifting humans are will always be needed and eventually what might happen is that we will integrate to a degree with machines and again remember reality exists in your head and the input output currently through the senses there’s no reason those sensors could not be expanded and extended but we are sitting at the center of that net not the other way around right another question uh does sci-sense.

do the cleansing and recognition of different data structures we do we do successfully uh full stack capability and uh we dont expect to be the best etl tool or data prep tool in the market for that through apis we can connect to experts if your needs are really particular but for 80 of our customers need what we have is is a very good capability that that provides the uh the ability to uh to cleanse the data to wrangle the data manipulate the data combine the data we.

dont we dont need to flatten the data in order to work on it we can work through the semantic layer in the data wherever it is uh knowing through the metadata what it is but we provide that capability stephen yeah okay great and weve got time for about one more question um beyond vr meetings how has remote working change data integrations in businesses is there a different expectation of what.

users expect their data to do for them there’s a lot more data and data is exploding i mean if i used to say that you know cpus or computation um advances at a rate according to moores law and sort of a doubling every 18 months unfortunately that is slowed if you look at the performance of the intel specifically it doesnt slow down however data is exploding it it adheres to a double exponent so well have a lot more data a lot more data is coming at us at us.

until quantum computing is really available for everyone and and the 5g 6gs theyre deployed properly what would happen is that there will be this gap and so people will always strive to make better use of the data and once they get that access it will improve our life that’s that’s a strong belief that i have okay that’s great thank you so much.