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

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

Cb6e6da05b5b943d2691ceefa3381cad?s=128

Big Data Spain

December 04, 2017
Tweet

Transcript

  1. None
  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
  36. None
  37. This is your last chance to survive Jon Snow