Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Data Spain 2017

Artificial Intelligence and Data-centric businesses.

https://www.bigdataspain.org/2017/talk/tbc

Big Data Spain 2017
November 16th - 17th Kinépolis Madrid

Transcript

2. Present and Future
3. THE PRESENT
4. SAP : ERP Mobile App Campaign Manager CRM Call cent er THE ROOT OF THE PROBLEM FOR PHISICAL COMPANIES: SILOS & APPLICATION CENTRIC Big Data Lake DATA MART DATA MART DATA ART E-commerce DATA WAREHOUSE TPV APP Replicated data Replicated data Replicated data Replicated data Lost data Replicated data Not Real Time Data Replication 10X Low TPO/TCO ratio Cost 10X Analytic D-1 Unintegrated Vision Departamental Silos Not Real intelligence Problems
5. Big Data Lake Big Data Lake Big Data Lake Big Data Lake Big Data Lake Big Data Lake BIG DATA CLASSIC LAKES ARE NOT A REAL SOLUTION THE PROMISE: TO ELIMINATE DATA SILOS Overpromising - Under delivery -Expectations not achieved
6. IT disruptions
7. Distributed Data Technology replaces all previous Data Technologies 1st DISRUPTION BIG DATA FOR ALL COMPANY DATA FOR ANALYTICS AND FOR OPERATIONAL APPLICATIONS
8. NoSQL / Big Data LAN/Internet Client/Server PC Host/Mainfra meTerminal 1st GENERATION 2nd GENERATION 3rd GENERATION • Unlimited scalability • High availability • Very low cost per Terabyte • Advanced analytics with extended Machine Learning • Open Source (No Vendor locking) • Vertical scalability limited • Big cost per Terabyte • No real-time • Analytics without Machine Learning • Vendor Locking • Limited Scalability • Big Cost per unit • No real-time • Limited Analytics • Vendor Locking DRAGONS USE ONLY THIRD DATA GENERATION LEADING COMPANIES LEADING COMPANIES LEADING COMPANIE S Big mistake: Complement 1st Generation with 2nd Generation Result: Increase complexity and cost Replace previous Data Technologie with Distributed Data Reduce Complexity and Cost
9. Coordinació n 2nd DISRUPTION DISTRIBUTED APPLICATIONS via MICROSERVICES (Fail gracefully) You can modify, evolve and adapt your Customer and Business Journeys just conecting small ultraefficient microservices From Monolíthic applications Distributed Applications Microservices in containers Services Oriented ESB
10. 3rd DISRUPTION SMART DATA CENTERS Human persons can not manage Data Centers moving thousands of functionalities and data around thousands of machines DCOS DATA CENTER OPERATING SYSTEM AN INTELLIGENT OPERATING SYSTEM TO MANAGE DATA AND FUNCTIONALITIES
11. Application App lifecycling Web/App server Database Operating System Virtualization Servers Storage Networking Security PaaS IaaS IN THE DISTRIBUTED AGE YOU NEED BIG DATA PLATFORMS AS PAAS What gives value to your company Where you spend your time Application Application App lifecycling Web/App server Database Operating System Security
12. On-premise Datacenters Virtualization 1980’ s 1990’s 2000’s 2010 2014 Cloud 1.0 Recursos Cloud 2.0 Aplicacion es IaaS & DevOps PaaS & DevOps Productivity and availability increment Cost and Time to Market reduction Cloud Evolution
13. We are at the Distributed IT Age We are at the Distributed IT Age
14. FUTURE
15. ARTIFICIAL INTELLIGENCE WILL BE PART OF THE FUTURE OF ANY COMPANY
16. A SUPER AI WILL MANAGE MOST OF THE PROCESSES OF FUTURE COMPANIES
17. HOW THIS SUPER AI WILL WORK? HUMAN INTELLIGENCE WAY OF THINKING?
18. First element: The Brain All data and intelligence centraliced Distributed replicated data but consistent Distributed processing
19. Second Element: The senses Sight, hear, touch…: Senses makes conections to the real and phisical world
20. Third element: A nervous system to conect the brain to the senses And operate the body
21. Data Centric the real disruption Distributed applications with a unified consistent data view Just like the brain
22. HOW DO WE NAME THIS SUPER AI?
23. SENTIENT AI
24. Sentient beings are composed: matter, sensation, perception, mental formations and consciousness
25. AI IS EVOLVING TO SENTIENT AI: MATTER SENSATION PERCEPTION MENTAL FORMATIONS CONSCIOUSNESS
26. ¿Consciousness? Moral Dilemas are a big issue for current AI Social responsibility for a society without the need to work is critical for AI mainstream adoption
27. HOW TO BUILD IT?
28. DaaS (data as a service) Data DATASPHERE The perfect match: A Big Data System With Data Centric and Advance AI Brain A Big Data Centric with advance AI Senses Sensors, operational applications and any M2M and interfaces with the real world Nervous systems Microservices layer to connect all the data and all the Data intelligence, to all the sensors, operations and interfaces of the company Data Intelligence
29. DATA Mobile APP Campaign Manageme nt Digital Marketin g Legacy Applicati ons Call center ERP ATG TPV APP CRM E- commerc e Data Centric All data of a company for operations, sensors, intefaces, analytics and intelligence in a single point distributed but consistent and unified Data intelligence Api Daas (Data as a Service) Microservic es Multi DataStore & Multi processing
30. 1. Microservices PaaS 2. Data Storage 3. BigData platform 4. AI platform 5. Streaming/ Real Time ETL PRODUCTS NEEDED TO JUMP TO BUILD THIS SUPER AI
31. YOU NEED A PLATFORM FOR DATA CENTRIC WITH ALL THE ELEMENTS TO BUILD THAT SUPER AI 1. Microservices PaaS 2. Data Storage 3. BigData platform 4. AI platform 5. Streaming/ Real Time ETL
32. HOW TO MOVE TO THIS SENTIENT AI?
33. Use case 1 Use case 2 Use case 3 Use case 4 Use case 5 Use case 6 Use case 7 Use case 8 Use case 9 Use case 10 Use case 11 AVOID BIG BANG MAKE THE TRANSFORMATION LITTLE BY LITTLE
34. Use cases Referals Product presentations We are creating the Data Centric Platform that will be the foundation for the Sentient AI of the companies that will lead the future
35. Data centricity Application centricity Big Data Machine Learning Artificial intelligence Customer centricity Digital Experts Digital Laggards A product to move your company little by little to the Sentient AI that will transform your company
37. This is your last chance to survive Jon Snow