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Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Data Spain 2017
Present and Future
THE PRESENT
SAP :
ERP
Mobile
App
Campaign
Manager
CRM
Call
cent
er
THE ROOT OF THE PROBLEM FOR PHISICAL COMPANIES:
SILOS & APPLICATION CENTRIC
Big Data LakeDATA MART
DATA MARTDATA ART
E-commerce
DATA
WAREHOUSE
TPV
APP
Replicated
data
Replicateddata
Replicateddata
Replicated
data
Lost
data
Replicateddata
Not Real Time
Data Replication 10X
Low TPO/TCO ratio
Cost 10X
Analytic D-1
Unintegrated Vision
Departamental Silos
Not Real intelligence
Problems
Big Data LakeBig 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
IT disruptions
Distributed Data Technology replaces
all previous Data Technologies
1st DISRUPTION
BIG DATA FOR ALL COMPANY DATA
FOR ANALYTICS AND FOR OPERATIONAL
APPLICATIONS
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
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
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
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
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
We are at the Distributed IT AgeWe are at the Distributed IT Age
FUTURE
ARTIFICIAL INTELLIGENCE
WILL BE PART OF THE FUTURE OF ANY
COMPANY
A SUPER AI
WILL MANAGE MOST
OF THE PROCESSES
OF FUTURE
COMPANIES
HOW THIS SUPER AI WILL WORK?
HUMAN INTELLIGENCE WAY OF THINKING?
First element:
The Brain
All data and intelligence centraliced
Distributed replicated data but consistent
Distributed processing
Second Element:
The senses
Sight, hear, touch…: Senses makes conections to the real
and phisical world
Third element:
A nervous system to
conect the brain to the
senses
And operate the body
Data Centric the real disruption
Distributed applications with a unified consistent data view
Just like the brain
HOW DO WE NAME THIS SUPER AI?
SENTIENT AI
Sentient beings are composed:
matter, sensation, perception, mental
formations and consciousness
AI IS EVOLVING TO
SENTIENT AI:
MATTER
SENSATION
PERCEPTION
MENTAL FORMATIONS
CONSCIOUSNESS
¿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
HOW TO BUILD IT?
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
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
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
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
HOW TO MOVE TO THIS SENTIENT AI?
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
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
Data
centricity
Application
centricity
Big Data
Machine
Learning
Artificial
intelligence
Customer
centricity
Digital ExpertsDigital Laggards
A product to move your company little by little to the Sentient AI that will
transform your company
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Data Spain 2017
This is your last
chance to survive
Jon Snow

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