Fusion Cloud Applications: Larry Ellison at Oracle OpenWorld 2019

in 1935 our founder francesco really realized that working with pressure was the key to making great espresso coffee he understood by reducing heat and increasing pressure he could produce a rounder richer and more flavorful coffee this invention and moment of pure into it see ona is at the origin of the modern espresso coffee machine over 80 years later data help us work with the pressures of serving eight million coffees a day climate change affecting our growers land and increasing competition on every corner what's exciting is that with the right intelligence and energy drug we can stay true to our ethics and responsibilities while offering the greatest coffee to the world with Oracle we can do magical things no matter what the pressures are please welcome Larry Ellison [Music] hi everybody well this afternoon I'm going to talk about the progress we've made with Fusion Applications the Fusion Applications suite a very large suite of applications where each application is engineered to work with each other we spent the last 12 13 years rewriting all of our applications for the cloud and as we had an opportunity to re-engineer all of our applications we ensured not only that they worked with each other but they also fully integrated into our second-generation cloud taking advantage of all of the capabilities in that underlying cloud this makes it different than any other cloud application suite we actually have two Suites of cloud applications both both of them engineered specifically for and written specifically for the cloud both Fusion and NetSuite I know Evan Goldberg has already talked a little bit about NetSuite at open world and I'm going to talk a little bit about fusion now the combination of Fusion and NetSuite makes Oracle the overwhelming market leader in cloud ERP in cloud ERP we have combined about 25,000 customers in second place in the cloud and second place in the cloud in ERP is workday and these are work days numbers these aren't my numbers for work day these are work days numbers for work day they have a few hundred a few hundred cloud ERP systems so we have a really large share of the market in cloud ERP and we're actually increasing that market share over the last couple of a couple of years we've also passed work day in number of HCM cloud customers so we're actually now not only number one but it's very close and that play that case it's very very close in the case of ERP NH and between Oracle and workday it's not remotely close we're but we're also number two we're number two in customer experience behind salesforce.com we are sales forces primary competitor in cloud sales automation we are sales forces primary competitor in service automation we really have the most complete suite for front office and back office all of it written specifically for the cloud and all of it taking full advantage of the underlying generation to cloud capabilities that it's built on the we just have more applications more features more functions than any other suite of applications in the cloud or on-premise we have more applications features and functions than our on-premise product called the business suite we have more applications features and functions than s ApS on-premise applications whether or sa pees new hosted applications not cloud but hosted applications called s4 Hana we have lot more capability a lot more features a lot more functions on top of that and maybe even a bigger differentiator we are the only suite of cloud applications built upon true cloud infrastructure we're the only cloud applications company that's also in the cloud infrastructure business the other application companies are not so we have two two businesses our infrastructure business where we develop things like the autonomous database take a bit taking an advantage of machine learning where we develop advanced analytics taking it advantage of machine we have all of these capabilities at the infrastructure level we built a as I'll talk about we built a digital assistant a voice enabled digital assistant voice UI all enabled by machine learning that means all of our applications now have voice interfaces that means our analytics can discover anomalies providing actionable insights things that you can actually do because it's layered on top all that's layered on top of our generation to cloud which is very rich in technology there is no other ASAP doesn't have an infrastructure cloud workday does not have an infrastructure cloud Salesforce does not have an infrastructure cloud it's a fundamental difference than between Oracle and all of our application competitors all right more modules more features more functions than anybody in financials financial accounting but also enter five Enterprise Performance Management in HR non Human Resources talent management recruiting these used to be in separate separate products used to have to buy a separate recruiting product a separate talent management product a separate HR product now we have all of that all of those features all of those functions integrated into Oracle HCM supply chain supply chain manufacturing we're seeing we continue but we would continue to add features and functions and modules and capabilities to our cloud and manufacturing we started out with discrete manufacturing well today I'll be announcing that we're adding process manufacturing and mix mode manufacturing a combination of discrete and process project manufacturing all sorts of additional capabilities continuously added to our suite of applications and all sorts of technologies added to our underlying infrastructure cloud like that the applications are just now in the process of being moved to the autonomous database as we make our database better as we make it more secure as we make it faster the applications automatically inherit all of those capabilities there is no other there is no other application supplier that can offer that when you want to extend our applications you want extend our applications our infrastructure offers you a comprehensive development environment not a simple tool for extending for extensions but we give you a complete development environment use the same development environment when you make an extension to our applications that we use when we build the applications all of the testing facilities all of the source control facilities it's a complete IDE nobody has this other than someone in the infrastructure business Amazon has that has development environments Microsoft has development environments google has development environments but Salesforce doesn't work day doesn't and s AP doesn't all right by the way all of these all of these applications I'm showing you on the first page all of them we rebuilt we built from scratch over the last 12 14 years built from scratch and aimed at the cloud now Field Service for example it's one we bought it was called Toa a brilliant development team and you're in Europe they had the best field service product we out and it went out and acquired it but we didn't stop there that engineering team has now been moving the TOA product to our gen 2 cloud it will be among the first applications using the full capabilities of the autonomous database it's now running on the jet on the gen 2 cloud so when we acquire an application and we decide that's strategic like field service we then invest the necessary engineering to make it run on top of o CI to make it run on top of the autonomous database to give it a voice user interface with our digital assistant to take advantage of machine learning it's taking advantage of the analytics cloud we integrate it with all of the underlying technologies which gives us again a huge competitive advantage so field service works with fusion accounting they work together they and they use the same technologies they're in the engine they're engineered to work with each other and they're engineered to work on top of and fully exploit our under our gen 2 cloud technology all right so because our fusion applications are built on our Gen 2 cloud and our Gen 2 cloud is secure the database is secure the cloud is secure you know we have those perimeter control computers I talked about on Monday there is no human labor there's no human error in our in our database we our applications are built on a very secure Gen 2 cloud but the applications themselves have their own kind of security so it's multi layers of security at the core of the core we have hardware that keeps a perimeter control computers that keep anyone from intruding that keep threats out and if threat gets in keeps the threat from spreading we have the autonomous database which automatically Tunes itself that automatically patches itself without downtime that means if we put in a database patch your application is now down your application is not down but the applications themselves will check anomalous things again we have machine learning built in the application that we use for security so we find an anomaly that Safra Catz has just logged on from the Ukraine at 4 a.m. and she wants to take a close look at our financial results the day you know 48 hours before we announce them she's also on line with her broker so we think no no no wait no no no I don't know I saw Sarah at the office today I don't see how she got to the Ukraine even though she does use a private plane and so I don't you know I don't think that happened yeah I don't think that happened so we have security security at the applications level as well that take advantage of machine learning to find those data anomalies excuse me I would just like to take a moment and say how much I miss mark heard personally and [Applause] we worked together for a long time I love him and I wish I wish him a speedy recovery [Applause] okay I don't have so many friends that I can afford to lose any so it's my problem now okay all right all right I'll try to get back to the presentation all right give me a second all right so Oracle is in the cloud applications business Oracle's in the cloud infrastructure business very very interesting let me do it when we acquired NetSuite NetSuite it turns out had this multi-tenancy capability built into its applications well that's not the right place for a multi tendancy capability when you put multi-tenancy in the application it creates a huge security problem though if that's the only place you can do it and you're in the cloud you have no choice so Salesforce has multi tendency in the applications NetSuite had multi-tenancy applications but now that NetSuite is on our gen 2 cloud they're taking multi-tenancy out of the application getting rid of that so it's fully secure and using the multi tenant capability of the underlying database it's a big deal and it's fundamental you sell we're NetSuite didn't have that capability before now it has now it has the ability to use the multi tenant capability of the underlying database take the gen 2 infrastructure is just as important to our application prog progress in the applications as adding more capabilities to the applications themselves we have a true cloud we have compute we have storage we have an autonomous database machine learning again we're a we compete with Google and Amazon and Microsoft in that space but those are not our competitors Google and Microsoft and Amazon are not our competitors in the enterprise application space all right Salesforce given credit built their applications from the ground up specifically for the cloud and they were very early you know they've been doing this for a long time and so they put multi-tenancy into the application they had no choice they had no underlying platform that supported that so they pulled Moulton multi-tenancy capability into the application so all they could do of course customer Salesforce customers wanted to make extensions to the Salesforce apps of course sales for his customers wanted to integrate the Salesforce apps with things like Oracle ERP or s ap ERP so they had to build some kind of capability to allow people to write program to write small extensions to Salesforce then they'd end the sales work put that up is called force calm but forced calm is a highly proprietary kind of limited functionality for just extensions and just integrations but they have it but they have it and they and they built it out of necessity workday which also built their applications specifically for the cloud has no capability like force comm and no underlying cloud but workdays way better than s ap who somehow forgot to rewrite their applications for the cloud they bought some cloud applications but literally that's 35 year old code that has not been rewritten what what s ap did instead of rewriting their applications for the cloud what s ap decided to do was hey we really don't like Oracle and we don't like the Oracle database so we want to replace the Oracle database throw it out and we'll give you an s AP database called Hana so we want you to new move to the same old applications you had before but now they're running on Hana and that's what they spend all this time doing building Hana and moving their applications from from Oracle to Hana they're not it's the same old code nothing's been rewritten nothing's been rewritten they don't have cloud ERP applications and they certainly don't have a cloud platform we think that's a huge opportunity for us thank us ap for doing that actually all right so as I said on Monday what separates a second-generation cloud from what came before is machine learning and a machine learning is that revolutionary new technology that enables things like autonomy it enables things like computer vision so not only but not only does the computer take a look at you and see you and say let you use your let you use your smart phone but the computer will talk to you you can talk to the computer so innovate it enables modern voice you eyes it enables and when we have one we built on which I'll talk about a digital assistant and enterprise digital assistant where you can talk to all of our applications you can simply say give me sales quarter to date and it's in and it shows up on your smart phone and I can say share this with Safra and Mark and they get it in their feed in their and in their information feed from the digital assistant it really does that and if the sales are not as good as as I would like I can then ask questions so not only is that information sharing by voice it's also all of our a lot of our analytic tools we think of them as analysis you take a look at this and you discover an insight and you think about it but we're very proud that the insights are actionable right we show you something that wow you want to do something well sometimes if you have your chief technology officer you can't do anything you know I no one works for you and you know you just you oh you just make presentations once or twice a year but you can call the CEO you can call the CEO and they can actually do something or the head of sales then they can actually do something so my actionable insight I look at something and I'll I'll say Safra have you seen this you know mark have you seen this you know you know Edward have you seen this you're looking at looking at engineering schedules so suddenly our analytic tools are giving you information surprised surprising you sometimes with information and enabling you to communicate with people who can actually do something about it and collaborate with a team and I mean it's all very cool stuff in fact one of the things that happens is the people you routinely collaborate with start getting stuff out of your information feed as the as the analytic system begins to recognize patterns in your behavior who do you collaborate with who do you share this information with and they make sure those people get the information the same time you do I mean it's it's a very big deal our analytics suddenly you can find your best performing employees you're higher higher dear recruits and priority order detect fraud like the what that really wasn't Safra in the Ukraine I don't think so and all sorts of things with modern machine learning based analytics Vance dental analytics and I've said this before your data is safe you got layers of security in the applications in the database in the underlying cloud infrastructure all right we've had incredible growth over the last five years the big the big jump you say wow that was that was a good year that was that was the acquisition of NetSuite so we now have over 31,000 cloud cloud application customers and this is very interesting that our VAR Fusion application customers three-quarters of them do not have other Oracle applications it's not that we moved all of our ebusiness suite customers from on-premise diffusion we've done some of that but a lot remains a lot remains to be done a lot of these are brand new customers to Oracle Corporation all right 12,000 new Fusion customers in the last five years that's pretty spectacular growth and over the five year period that we've kind of been in this business we now have over 30,000 30,000 true cloud customers running our applications and we're adding lots and lots of customers because we're investing very heavily in building applications building new applications building new technologies to enhance those applications both at the application layer and that at the infrastructure layer so we we've doubled the number of cloud apps over the last year in that five year period we have twice as many as we used to okay lots and lots lots and lots of customers it's very interesting that Ferrari is listed above Ford in of course the Ferrari is a much higher volume car company than Ford you could tell it's a one percenter who made these slides what can i what can I say the the interesting thing is my favorite car my favorite car happens to be a Ford it really does it cuts called a Ford GT not a Mustang GT a Ford GT it's even more of a one percenter car than the Ferrari anyway Cummins these are big brands Textron Ford cut Cummins Emerson Ferrari these are big brands using our Fusion applicant applications AT&T NBC British Telecom Cox Communications we have lots and lots of large customers Wells Fargo's listed here giant Bank HSBC even bigger bank but there are a whole bunch of banks that really don't want to be mentioned that it's you know they are in the midst well some are in the midst of converting from sa P to Oracle and until that's done they don't you know they don't want us to talk about them but we have lots and lots of concert large conservative organizations that are in the process of moving to the cloud this is no longer early days this is a period we're seeing of sudden acceleration as we see customers wanting to modernize their systems money to modernize their business practices moving from older systems to modern cloud systems and again we think just a gigantic opportunity opportunity for us McKesson the big drug drug distributor I'm not going to read them all out all out to you but we have lots and lots of fusion application customers ok you know still more BMW of course is listed first they though my favorite on this list is the Mack truck you know my two and a half year old absolutely loves Mack trucks not interested in BMWs at all the again lots and lots of applications Veritas was very interesting Veritas was a huge sales force customer it with a highly customized Salesforce system I think I think something like 500 customizations in the sales for a system and they migrated migrated to Oracle Oracle sales so it's not all all ER P it's a RP HCM CX sale service a lot lots and lots of different customers the I'll just keep going more you know more kind you know still more customers Vodafone I think there's still the largest mobile phone operator in Europe and Zed bank again he huge number of customers bimbo if you if you had an English muffin for breakfast I promise you bimbo baked it bimbo is the largest baking come they're a huge company in Mexico a great customer of ours and they're the world's largest Baker so I had English muffin for breakfast because I'm so grateful to bimbo for running our stuff and a Duke University and Stanford University and all these other places the University of Wyoming okay this is interesting this these are some of our s ap replacements Siemens next door right in right in the heart of Germany is sent Santander yeah they're you know very very big financial services very big bank Cox Communications major league baseball so the rate at which these systems are going in the ability to get you know from the time you sign the contract that a time you go live is not lots of years now it's lots of months it's a big difference than the systems that came before even our systems this goes in much more more quickly for much less money than our earlier on-premise systems you know NH NH cm/s ap replacements at SAIC and Dish Network so I can get again I'm sure you don't want me to read them all - okay product updates so I said we started with discrete manufacturing the manufacturing suite is kind of the last financials if financials and HCM came on stream then sales and service and kind of the last stuff to come on then supply chain and the last stuff to come on line has been manufacturing and we're just finishing filling out our manufacturing suite right now we started with discrete manufacturing that's like computers everything's the same iPhone perfect example every iPhones like every other iPhone or at least it's supposed to be or very close process manufacturing is a little bit different it's but making ice cream or California's unique brand of gasoline you know all of those have to be blended and monitored by a process manufacturing system and California has different gasoline than Nevada so I mean you know you you you run different batches you have different kinds of you have different kinds of you have low low sugar chocolate chip ice cream and you have regular chocolate chip ice cream so same thing we have process manufacturing we have project manufacturing project manufacturing something like a school district orders something for computers from Dell and they take a lot of stuff out of it to make at the lowest possible price and you know they come up with a configuration Dell doesn't normally make they signed a contract dell has to change some things their manufacturing line and they and and and they run this batch the army makes the same thing from Dell but now Dell yeah Adel makes a militarized version but they want to change several things than the militarized version and they have a project to do that and and we hope that we we manage the project as well as the manufacturing process we manage both channel revenue management is simply the relationship between a distributor and the supplier so let's say you distribute Dell computers and Dell says I am now I'm gonna change I'm going to change vert you know microprocessors in this laptop and I want to get rid of the existing inventory of microprocessors so I'm gonna cut the price by $100 on the laptop of $50 then low laptop I have this promotion and revenue management helps you manage that promotion to capture all of those laptops that you sell and and make sure you get your $50 your $50 discount from Dell who who instigated their promotion so just managing those processes mixed-mode manufacturing mixed moats interesting I'll be quick you blend the chocolate chip ice cream you know so many chocolate chips so much cream so much global you know and but then and that's a process that's process manufacturing but then you put the ice cream and you create ice cream bars and quarts of ice cream and half gallons of ice cream and those are discrete products so manufacturers are you know and have to do this mix mode people are saying this is why I came to this presentation I want to know about how hard it is to make ice cream bars and what is the underlying technology for ice cream bars it is mixed mode menu effect now you know it is mix mode manufacturing and we do it and by the way other people don't so it's good so cell should sell a lot of it the call quality is quanta is built is built in so some people get quality reports in the end and they say hey I had this problem we have big with Internet of Things we you know we have sensors on all the men you know sampling the blends in the process checking the machinery and make sure things are working smoothly so if you have a quality problem we discover it not after the fact but while you're making the product and you can if you're if this is your policy you can stop the line dude root cause analysis fix the problem never ship anything that's bad and we do that about the combination of our IOT and of course what else machine learning all right process manufacturing nude Oracle very important for our customers project manufacturing example I want to create a this new militarized version of a laptop I have to have new casing I have to bug I got to find new suppliers to you know I used to have an aluminum case now I have this ruggedized plastic case when I make this stuff I gotta track the cost by project and do all of those things it's complicated but we actually have we have a project management system and are in our application suite we have a manufacturing system in our application suite it takes advantage of both for project manufacturing creates the tasks in project Matalin projects stripes the the different supplies by project does the right costing the right accounting and and runs the project and collects when you actually deliver and we also do this thing called % complete so you can actually bill as you make stuff as you deliver part part of the project until you get to the last bill when you're a hundred percent complete we can we can now automate all of that we can now do all of that channel management - Safiya what I said Dell said get rid of these laptops they'll give you 50 bucks back very important for the distributor to keep track of this and what we do is we don't make Dell write you a check for $50 we just in our accounting system we say ok we show us sold a thousand of these so Dell I'm lowering what I owe you by 50 thousand dollars so we just create it create a debit memo for that all done inside because our manufacturing system is tightly integrated with our accounting system and our inventory system and all these applications are engineered to work together accounting manufacturing project management it's why it's so important to have a suite of applications where those applications are engineered to work one with another all right so we have some announcements first announcement is CX unity uh we're launching CX unity we got our first customers who are AT&T and shop back and this is the idea we're taking all of your customer information whether it's inside of your internal systems like there are orders and customers service requests from customers how much you build the customer all all of these things information you have about the customer opportunities you have with that customer and the sales system all of stuff that you have and we're blending that with intelligence from a variety of sources external sources you can use data foxes which is one of which is one of our sources but you can use whatever you want to accumulate information about the customer and put it in one place thus the name customer unity customer experience unity okay in fact we've taken our own marketing system our b2b marketing system called Ella claw and we've integrated that with data thoughts so when you're running a marketing campaign you suddenly get all of this data data Fox intelligent I'm intelligence about that particular customer so it's a greatly enhanced experience from what you had before without this intelligence and what you have now again it's very important that our applications work together one thing I haven't mentioned much about is the fact that Oracle's also in the data business and we make that data available to our applications in the same sense that we make underlying technologies available to the applications so we make machine learning is there at at the infrastructure level to be exploited by the applications data is there at the data level to be exploited by the applications so you'll see us taking advantage of not only technology but also information data that's stored in our cloud and there this is very very cool it's a voice enabled it's actually our digital assistant that is automating our sales automation system so again once again it's a blending of things it's an example of our underlying enterprise digital assistant that capability to talk to the system and sales automation but now the sales automation can be done by voice and also you get the data from data Fox about the prospects so you get information from the prime Specht coming and coming in into your sales system giving you a notification you can then respond to that no yeah respond to that notification talk about the team with what your strategy is you can even schedule a meeting you can alter you can go in and with the same voice interface and and predict increase the likelihood of close of this one particular deal based on the information you just got and you're simply talking to the enterprise digital assistant interfacing with our sales automation system taking advantage of insights provided by data and our analytics ok so you see all the pieces again all the pieces are designed to work together where the sum is greater you know the total is greater than the sum of the parts I mean it's there's just tremendous synergies across technologies across across data Human Resources event based processes this is in our applications you know I'm you might have there might be statutory reasons you have a different process in sending out Commission's sending out Commission's in Germany than in the UK because there are different laws about how people are supposed to be paid well now you can configure the applications by geography so it's you can have multiple processes in place inside of our HR applications inside of all virtually all of our applications and they can be separated by a geography ok you're gonna pay commissions in Germany this way in the UK that has slightly differently at different times let's say we have two more weeks and an extra month in the UK we don't have an extra month in Germany different lines of business do you have just different policies as to what you what you do and so different lines of businesses can have different processes different role different people where they at what level they are in the organisation go through different processes to do the same thing because they're at a different level in the organization you're they can shortcut some other processes you can now configure our systems to do as the processes change you and for you there's a graceful way of informing people that the process has changed if the process includes some things that are not automated by the Oracle applications and you have to go out to go outside the application to do something it's still part of the process that you're informed about it's visible to you in the applications so this all the stuff that we automate and you have to do step one two to three and five is in the process but step four which means you have to it could be a manual process you might have to log on to a gutter you know a government system and file a tax return way but we can do that automatically for you by the way that's a bad example but you might have to you know it might have to you might have to go in to the DMV and get your truck drivers license extended and that's part of the you know that's part of the process and you get a different you want to get promoted and your your driver you want to get promoted you want to drive bigger trucks you have to go ahead and do this that's part of the process you have to go take a class you have to do something as something like that outside it's still documented in our process even though we don't automate that particular component it's all there and it's all visible to people all right technology I've said this a few times but it's very important we're in both businesses applications and infrastructure and if you want to data though I think of data is kind of an extension of the applications business you can think of this is somewhat discreetly different we are all of our applications again all of our applications are in the product are either running on or in the process of being moved to the autonomous database one of the things no it's interesting is we have thousands and thousands of ERP customers the ERP customer has very very different characteristics of the database for ERP some of them are small some of them are huge well the autonomous database will tune each one of those instances separately no human being ever do that that would be that would be ridiculous with the autonomous database account and there are lots of other benefits to autonomous database so everything is going to the autonomous database everything is to get everything all of our analytics are not kind of built they're not part of the application they're part of the application taking advantage of what's in our Ana in our analytics cloud you can extend the applications I'm repeating myself but you use the same tools that we use you we have a bunch of pre-built integrations so you can in our integration library you can integrate our applications with s ap with Salesforce with applications some of us have never heard of we have a large library of integrations that allow you to connect one application with another I've mentioned our analytics we have a wonder you know and I'll go into our analytics in more detail the the multiple levels of security and of course the autonomous database all right our analytics very proud of these the Oracle analytics cloud is in the Oracle public cloud and set of tools I'll describe we also have an a deluxe server you know for our on-premise customers and and we have specialized analytics that we've implemented directly on top of our Fusion Applications so we've actually taken the our analytics technology and built this thing called the fusion and I demonstrated it last year the fusion data warehouse directly on top of our Fusion Applications alright so we have our traditional traditional analytics self-service analytics where we compete with a lot of things like what micro Alex to me what Salesforce just bought tableau for uh for self-service analytics but maybe the most exciting stuff we have I like it all but maybe the most exciting stuff we have is stuff that's that's intelligent to stuff we built with machine learning the ability to gain gain these insights for it to look at the data and discover patterns in the data that might be a little difficult for you to see discover outliers and anomalies and all of those things that a computer can do better than human beings all right so I mean clearly we do we do dashboards pixel-perfect reports you know and they literally are pixel perfect you you can you have complete control of every every pixel we have prep data preparation tools visual data preparation tools that make it easier for you to cleanse and transform your data we have voice interfaces and chat BOTS and naturally you know on natural language interfaces we have one click and click explain for which is will allow you if the analytic system discovers a correlation between data and column one and data and column two and they'll explain it to you and natural English so tell you exactly what it is no PhD required but as the slide says if you have PhD it's also great for you well let you you know bring your own models or develop your own models and you know train your models and do all of those things with our tools okay so open connectivity our our analytics analyze data from any source any source I mean obviously the Oracle database but also the database and the block storage system and AWS is a block storage and and microsoft's block storage is your we will look at all of your data Hadoop data it doesn't matter we really can look at any data source where data source agnostic and we then let you mash up that data combine that data anyway you want to and look and look at the results of them and look at the results of the mash-up in some cases where we know the somatic model you know we understand the data a little better like in fusion applications we really can it's very very easy to use it's really easy to use everything every we understand the semantics we we can tell you a lot about the information that's there with very little effort on your part ok all right data preparation we have a visual tool for ingesting cleansing and transforming data ingesting used to be a couple years ago was known as loading loading not nearly as cool a word but actually there's a reason to change it to ingest because a lot of it is telemetry base rather than you loading a file it's a little more complicated because now you got all this IOT information flying off sensors into the system so it probably was right to go to a little a little cuter word that had broader meaning okay so we have a visual a visual system that allows you to do that if you want to define your own customization your own custom transformations you can use whatever language you want you can do mathematical transformations with R or use the Python programming language or SQL whatever whatever you want to use lots of visualizations lots of visualizations are built into this we're especially good I think as far as it we're especially good at geospatial both visualizing the geospatial data and quickly and and running very very fast on geospatial data because geospatial is native to the Oracle database if it's an Oracle database we actually can just function ship we'd send the query so in the query directly to the database it will produce all the data we need to populate the visualization so it's very very fast this is an example of visualization and this is kind of comparing GDP to government income and go back and look at it actually it's easier for me to read back here kind of but I think I know the data the interesting thing is in every case in every in in every in every case the you know government government income seems to be growing a little on average a little faster than GDP except except that yellow the yellow bits at the end the yellow bits are in China and India where the economy is actually growing faster than the size of the government which is interesting this this is looking at discrete sales transactions and and and plotting out the individual the individual sales events and then grouping in together to say you know some of them some of its high-tech some of its public sector we're where the revenue where is the revenue coming from and giving you a map this is the DC metro showing passenger flow that passenger flow on different lines in the in the DC metro this is I mean this this is interesting this is the FIFA World Cup and it showed just how dominant the United States was turned out it was very very popular television event in spite of the fact that the USA was so dominant and had you know I think I think second most a number of average goals was to you know the French the Germans were averaging two in the u.s. not quite double but close to double that I mean it was it was kind of extraordinary and you can signal a single out as a particular player or a particular size of transaction or whatever you want to and call that out to okay this this is something like our show floor and this is kind of showing you the map of the map of the show the show floor analyzing you know how much of it is smartphones how much is other other advanced devices and can break it breaking down giving it giving you a visual analysis of what are the show floor it looks like okay and of court and of course you can do regression analyses and all sorts of fancy statistical functions with the data I mean that's that's not the hard part the hard part is usually finding the data okay AI powered analysis ask ask whatever you want you know machine learning and natural language interfaces on everything uncover hidden insights and actually take an action communicate with someone on your team share the information with someone on your team the AI the system the system the analytic system will actually notice that you're asking for this kind of report this time a month this time a report this kind of month and as you start to a and they sit and the AI system will notice a pattern and your behavior for requesting reports and intelligence and alerts and you won't have to ask for them again they'll simply show up in your feed that time a month or that time of the quarter again without asking and if you collaborate you know I'm collaborating with Mark and Safra and some other other people the people I collaborate with around this kind of data will also get that in their cues of course they don't want it they can say don't send me that anymore but but that's how the system adapts remembers what you asked for gives you the information again before you even have to ask and allow you to collect collaborate with your peers so you can take action on the on these insights okay so we see language voice in the voice interface and natural language processing we support 28 languages which is a lot the the all of this stuff is integrated in the Oracle digital assistant we have our own digital assistant but we interface to third-party messaging systems also and you can if you prefer you can use Alexa or you can use slack or you can use Google home or you can use Microsoft Teams you don't have we actually went to our own digital assistant because to train it because we had to train it on a really different vocabulary than let's say you know a a consumer you know device would have turn on the lights raise the shades is very different than giving me give me days sales outstanding for you know for this product it's a very different thing that the digital assistant has to understand it's a very different vocabulary a different set of contexts and as we train it and it's we had to train the digital assistant the it turns out the training for the consumer devices well great well very good was not adequate for our needs where we have very different vocabularies in business in manufacturing on the manufacturing floor in in aerospace engineering you know that very lots of different vocabularies that we have to support that the consumer devices don't necessarily have to support all right data enrichment we we will actually actually give you recommendations you know will show you correlated show you correlations will give you recommendations we actually can recognize just by looking at the data what kind of data it is we can tell an address we can tell a social security number we can tell a credit card just by looking at the data a column of a column of the data and we can you tell it what what it is so we understand we understand the semantics just by looking at the data which can be very helpful I mean I think we'd all like to go out and find every instance of social security cards every instance of credit cards to make sure that that data is masked or obscured and and six you're always encrypted and be very careful about that this the system can help you the system can help you do that again I've talked about hidden insights the great thing about this system as to as kind of the the business user level and the data science level as both of those K both levels of user are supported it will it will again show you correlations between columns it will show you outliers so and anomalies will do all of those things just by looking at the data you don't have to specify models algorithms do training do any of that stuff however if you want to we support that too again I think I've said this it's all it all gets personalized it knows what you look on it knows who you collaborate with the system learns you collaborate with the system learns what information is important to you what information you keep looking at it you're looking at and it sends you that information on your smartphone as a daily feed you always are getting some some set of information about the business the part of the business that you particularly care about lots thousands of customers in the cloud these are not our on premise customers got thousands of thousands of customers in the cloud I'm certainly not going to read that slide you know that's that would be madness okay fusion fusion analytics the analytic data warehouse I demonstrated this last year so we automatically take the data out of fusion and put it into the autonomous database and we have pre-built reports let me try to go through this quickly and we have on top of the data warehouse we have all sorts of reports and analyses built on top of that works on your Mosel mobile device of course we have key performance indicators dashboards role-based security and the really cool thing about this is it doesn't have to be just fusion data it can be fusion data plus whatever the other data you want to mix with it so we'll keep that fusion data current will automatically the pipeline between the fusion applications and the fusion data warehouse will constantly keep that data current and that will happen automatically you can then bring in Salesforce data s AP data something one of your custody or custom systems you know other data feeds whatever you want and you create this mashup this data warehouse that you can put with it whatever you want to put in it you can put in it whatever whatever on analytics you want to run whatever analyses resistance is going as statistical analyses you want to run you can run on the map the combination of the fusion data and whatever other data you add I mean that's a big difference between what you can do with the analytics built into the fusion applications the applications the applications have a great set of analytics built into them but the analytics inside Fusion Applications looks at the data inside the Fusion Applications when you bring in the fusion data warehouse you now can get all the fusion data mixed and mashed with all your other data that's important and you can get reports on that ok so that's what I just said again lots of you know lots of subject areas based on lots of - you know we have 15 15 different subject areas on over a hundred different data warehouse tables lots of Cape you know lots of KPIs for four for financials lots of reports for financials and okay so okay so again these are these are the integrations I've said that's ready these are all of the integrations you can connect the fusion applications to s ap to Salesforce and so on directly out of our integration library use the same tools you use the same tools we use and when I say the same tools we use what I mean not simply visual builder you get the development environment for visual builder but if you want to add voice interfaces to your extensions you get voice interfaces in your extensions if you want to use machine learning in your extensions you get action Elend insights and machine learning and your extensions you use the same tool set including machine learning including mobile including voice the same exact tools we use to build the applications in the first place okay the digital the digital assistant again it's it's extensible the digital assistant I think there's the complete list of interfaces you use our digital assistant or you could if you prefer you can front end it with Alexa or or Google home or Siri or whatever else okay obviously it's all mobile alright I'm just trying to time things alright it's getting it's looking better we're very proud of a great new user interface called redwood that applies to all of our that we're moving just like all the applications are moving to the autonomous database all the applications are going to take advantage of our new UI called redwood but not not just our applications our oracle.com website everything is kind of going to this look and feel so you know thank you Hillel Thank You Jenny Thank You Mamie it's been a lot of work but great job great job okay I don't know I don't know if you can see those but in the upper left that's the new website on on a on a PC that's the new website on a mobile phone okay all right the applications security secure but secured by design I've mentioned several times can't mention it too often layer application layer security database layer security infrastructure security all right I got a few more references and then I'm done okay so Veritas again replaced Salesforce I was wrong I said about 5,000 customizations Veritas had over almost 10,000 that's a mind-boggling actually 10,000 customizations in a cloud system we swap swap them out Cummins Hilton all of these guys Macy's consolidated 1,800 processes down to 200 got rid of 90% of them moles can improve their e-commerce performance by a factor of 10 by a factor of 10 again I've got a lot of these Cummins cut reporting time and effort by 95% by mu by moving to the cloud we have a lot of happy collab a lot of happy cloud customers Cummins accelerated talent review time by 83% what are some other interesting ones here AXA Bank Ritchie a dramatic improvement in data accuracy Western Digital reduced number of suppliers by 50% by getting their supplier getting rid of suppliers who are not performant we have again thousands of customers who have had great success in the Oracle cloud and we're looking forward to tremendous growth going forward Orange reduce customizations from over five hundred to zero as they move to the cloud and cut and cut caught and it allowed him to cut 30 their costs I'm done thank you very much [Applause] [Music]

Channel: Oracle

Views: 27,407

Keywords: Oracle OpenWorld 2019, Oracle OpenWorld, Oracle Open World, OOW2019, OOW, Keynote Presentation, Keynotes, Keynote, 40130588, Ellison, Larry, LJE, Larry Ellison, Events, Fusion Cloud Applications, Fusion Cloud Apps, Cloud Apps, Cloud Applications, Fusion Cloud, Integrated Applications Suites, Integrated Applications, Machine Learning, Human Resources, Supply Chain, Manufacturing, Sales, Service, Marketing, Data, Autonomous Database, Digital Assistant, Demo, Analytics, Natural Language, 2019

Id: PJmd4wOlhP4

Length: 63min 24sec (3804 seconds)

Published: Tue Oct 01 2019