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

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2. Present and Future
   

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3. THE PRESENT
   

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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
   

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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
   

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6. IT disruptions
   

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7. Distributed Data Technology replaces
   all previous Data Technologies
   1st DISRUPTION
   BIG DATA FOR ALL COMPANY DATA
   FOR ANALYTICS AND FOR OPERATIONAL
   APPLICATIONS
   

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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
   

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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
   

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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
    

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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
    

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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
    

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13. We are at the Distributed IT Age
    We are at the Distributed IT Age
    

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14. FUTURE
    

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15. ARTIFICIAL INTELLIGENCE
    WILL BE PART OF THE FUTURE OF ANY
    COMPANY
    

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16. A SUPER AI
    WILL MANAGE MOST
    OF THE PROCESSES
    OF FUTURE
    COMPANIES
    

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17. HOW THIS SUPER AI WILL WORK?
    HUMAN INTELLIGENCE WAY OF THINKING?
    

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18. First element:
    The Brain
    All data and intelligence centraliced
    Distributed replicated data but consistent
    Distributed processing
    

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19. Second Element:
    The senses
    Sight, hear, touch…: Senses makes conections to the real
    and phisical world
    

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20. Third element:
    A nervous system to
    conect the brain to the
    senses
    And operate the body
    

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21. Data Centric the real disruption
    Distributed applications with a unified consistent data view
    Just like the brain
    

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22. HOW DO WE NAME THIS SUPER AI?
    

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23. SENTIENT AI
    

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24. Sentient beings are composed:
    matter, sensation, perception, mental
    formations and consciousness
    

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25. AI IS EVOLVING TO
    SENTIENT AI:
    MATTER
    SENSATION
    PERCEPTION
    MENTAL FORMATIONS
    CONSCIOUSNESS
    

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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
    

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27. HOW TO BUILD IT?
    

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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
    

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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
    

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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
    

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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
    

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32. HOW TO MOVE TO THIS SENTIENT AI?
    

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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
    

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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
    

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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
    

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37. This is your last
    chance to survive
    Jon Snow
    

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