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Infrastructure designed for cognitive
workloads: Why is it crucial?
Xavier Vasques, Technical Director, Systems Hardware, IBM France
@VasquesXavier
Artificial intelligence (AI) ….the term "artificial intelligence" is
applied when a machine mimics "cognitive" functions that
humans associate with other human minds, such as "learning"
and "problem solving
© 2015 IBM
Corporation
AI …. To Do What ?
LEARN
TRANS
MIT
IMPRO
VE
© 2015 IBM
Corporation
AI …. To Do What ?
LEARN,
What ?
Expertise/skills Knowledge
DATAis transforming industries and
professions
Determine a
Cognitive
Strategy
A
foundation
of data
Becoming a cognitive business
Analy
tics
© 2015 IBM
Corporation
AI …. To Do What ?
IMPROVE,
What ?
Your
Business
!
Hybrid Cloud services
optimized for industry,
data and cognitive
APIs
Becoming a cognitive
business
The world is being reinvented in ………………… code
© 2015 IBM
Corporation
AI …. To Do What ?
TRANSMIT,
HOW ?
Systems
!
IT infrastructure tuned
for cognitive workloads
Security
Becoming a cognitive
business
Cognitive …. COMPUTING
© 2015 IBM
Corporation
Systems : The Brain
The Brain ? Some Facts …
 Serving size 1 per Person (1300 g)
 Calories: 1958 (Calories from Fat 1239)
 Total Fat: 137.6 g
 Cholesterol: 40.30 g
 Carbohydrates: 19.88 g
 Protein 151.41 g
 Memory > 2.5 Million Giga Bytes
 Neurons: 80 000 000 000
 Synapses: 100 000 000 000 000
 Power: 20W
 Dimensions: 1450 cm3
© 2015 IBM
Corporation
Systems : The Brain
The Brain ? “Non-Cognitive” abilities
 Sweating to keep cool
 Checking Blood Sugar
 Digesting Breakfast
 Raising “goose bumps”
 Pupils adjusting to sunlight
 Tears forming due to pollen
 Adjusting breathing rate
 Lowering heart rate
© 2015 IBM
Corporation
Systems : The Brain
The Brain ? “Cognitive” abilities
© 2015 IBM
Corporation
Systems : The Brain
17 octobre 20169
If the brain doesn’t not work as expected ?
© 2015 IBM
Corporation
Systems
17 octobre 201610
It’s the same for any Systems ! The System has to work as it has to work … at
the speed of the brain
What happens if :
The System doesn't reach the expected speed ?
The System looses memory
The System has I/O bottlenecks
The System doesn’t store the data in the right location
The System is not able to process all needed data
…
…
The System is not designed for cognitive
© 2015 IBM
Corporation
Cognitive SYSTEMS Era
IA was born Pragmatism and
Humble : The
emergence of
Machine Learning
Welcome to the
Cognitive Era
1956 70s & 80s Today
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Cognitive Business is powered
by IBM Watson.
Watson is a cloud-based, open
platform of expanding cognitive
capabilities. With Watson, you
can build cognition into digital
applications, products and
operations.
12
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Relationship
Extraction
Questions
&
Answers
Language
Detection
Personality
Insights
Keyword
Extraction
Image Link
Extraction
Feed
Detection
Visual
Recognition
Concept
Expansion
Concept
Insights
Dialog Sentimen
t Analysis
Text to
Speech
Tradeoff
Analytics
Natural
Language
Classifier
Author
Extraction
Speech to
Text
Retrieve
&
Rank
Watson
News
Language
Translation
Entity
Extraction
Tone
Analyzer
Concept
Tagging
Taxonomy
Text
Extraction
Message
Resonance
Image
Tagging
Face
Detection
Answer
Generation
Usage
Insights
Fusion
Q&A
Video
Augmentation
Decision
Optimization
Knowledge
Graph
Risk
Stratification
Policy
Identification
Emotion
Analysis
Decision
Support
Criteria
Classification
Knowledge
Canvas
Easy
Adaptation
Knowledge
Studio Service
Statistical
Dialog
Q&A
Qualification
Factoid
Pipeline
Case
Evaluation
13
IBM Watson
The Waston that competed on
Jeopardy! in 2011 comprised what
is now a single API—Q&A—built
on five underlying technologies.
Since then, Watson has grown to
a family of 28 APIs.
By the end of 2016, there will
be nearly 50 Watson APIs—
with more added every year.
Natural Language
Processing
Machine Learning
Question Analysis
Feature Engineering
Ontology Analysis
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 14
IBM Watson
These APIs are underpinned by
50 technologies:
Anaphoric Co-referencing
Colloquialism Processing
Content Management -- Versioning
Convolutional Neural Networks
Curation
Deep Learning
Dialog Framing
Ellipses
Embedded Table Processing
Ensembles and Fusion
Entity Resolution
Factoid Answering
Feature Engineering
Feature Normalization
Focus and Spurious Phrase
Resolution
HTML Page Analysis
Image Management
Information Retrieval
Knowledge (Property) Graphs
Knowledge Answering
Knowledge Extraction Annotators
Knowledge Validation and
Extrapolation
Language Modeling
Latent Semantic Analysis
Learn To Rank
Linguistic Analysis
Logical Reasoning Analysis
Logistical Regression
Machine Learning
Multi-Dimensional Clustering
Multilingual training
n-Gram Analysis (word
combinations and distance)
Ontology Analysis
Pareto Analysis
Passage Answering
PDF Conversion
Phoneme Aggregation
Question Analysis
Question-answering Reasoning
Strategies
Recursive Neural Networks
Rules Processing
Scalable Search
Similarity Analytics
Statistical Language Parsing
Support Vector Machines
Syllable Analysis
Table Answering
Visual Analysis
Visual Rendering
Voice Synthesis
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 15
IBM Watson
These technologies draw on
five distinct fields of study:
Big Data &
Analytics
Data Mining,
Optimization,
Text Analytics
Artificial
Intelligence
Machine Learning,
Natural Language
Processing,
Algorithms & Theory
Cognitive
Experience
HCI, Speech,
Translation, Machine
Vision, Visualization
Cognitive
Knowledge
Knowledge
Representation,
Ontologies, Semantics,
Context
Computing
Infrastructure
High Performance
Computing, Distributed
Systems, Programming
Models & Tools
Architecting the future
with IT infrastructure
for the cognitive era
The IBM point-of-view on IT infrastructure for the cognitive era
July 2016
IBM Systems | 17
of CEOs feel technological disruption is
making them reassess strategic
direction
“We see the business models changing as a result of the creative use of new
technologies.”
-Eelco Blok, CEO, KPN, Netherlands1
of global business leaders say that a
substantial part of their revenue is
at risk from technology shifts252%
67%
Technology is the most important
external influence among the C-
Suite today
Source: 1) IBM Institute for Business Value, Redefining Competition, Insights from the Global C-suite Study – The CEO Perspective, 2015
Source: 2) Harvard Business Review Analytic Services, The Ecosystem Equation: Competing in the Connected Economy, 2016
Organizations struggle with key technology challenges
supporting insights, change, and speed
Understanding Data
Digital intelligence is a primary
competitive advantage
Yet 88% of all data today is
unstructured and invisible to
computers1
“The next wave will be all about
connecting dots and correlating data
to produce actionable insights.”
–CIO, Retail, United States2
Keeping Pace
Superior technology delivers superior
performance
Yet the pace of innovation (72%) is
now the top CEO challenge, even
greater than security (66%)3
“Disruptive technologies could
change the fundamentals of our
business”
–Kazuo Hirai, CEO, Sony
Corporation, Japan4
Accelerating Time-to-
Market
Sustainable success is now measured
in days, not weeks
Outperforming CxOs are 95% more
likely to focus on being first to
market4
“We’ve been charged with speeding
up time-to-market, both for the
products we sell and for our own
internal tools.”
⎯Kalev Reiljan, CIO, TeliaSonera,
Finland2
Source: 1) IBM Research
Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective
Source: 3) Fortune, Myth-busting the Fortune 500, 2015
Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015
IBM Systems | 18
IBM Systems | 19
Architects of the
future require IT
infrastructure that
can do more than
‘just work’
Servers and storage are no longer
inanimate.
They can understand, reason, and learn.
Today, they can think.
Outthink status quo.
Think IT infrastructure for the
cognitive era.
Detect anomalies
to proactively
resolve issues
Move data to right
location based on
usage patterns
IBM Systems | 20
IT infrastructure for the cognitive era means
thinking differently about how you design, build, and
deliver services
Design for
Cognitive
Business
Act at the
speed of thought
Gives meaning to
unstructured data and
can perform when the
window of action is
milliseconds.
Build with
Collaborative
Innovation
Deliver through
Cloud
Platform
Accelerate technology
breakthroughs
Takes advantage of
perpetual motion for
what is still unknown yet
possible with future
innovations.
Extend the value of systems
and data
Extends existing
business investments
to integrate with the
ecosystem and
accelerate innovation.
IBM Systems | 21
Design for
Cognitive
Business
IBM Systems | 22
Designing for cognitive business means thinking
differently about analytics acceleration and data
centric design
Solve complex business
problems faster than
competitors?
Deliver better decisions
by taking advantage of
oceans of data?
Analytics acceleration to deliver the
fastest insights with infrastructure
designed specifically for complex
analytics and machine learning
Data centric design to capture the
largest variety and volume of data
while efficiently locating data and
applications in the right place
How do I?
IBM Systems | 23
Leading US
Healthcare
Systems
Accelerated the
sequencing of 3.5 PB of
human genome data by a
factor of 10x for faster
cancer diagnosis
Created real-time pricing
models to speed
decision making by
increasing response
times by 60x
Infrastructure in the cognitive era delivers ground-breaking
research, faster cancer diagnostics and real-time pricing
models
Allowed scientists to
produce ground breaking
research faster by
accessing PB of data in
minutes, not days
IBM Systems | 24
Key technologies to design for cognitive business
Analytics
Acceleration
Servers designed
specifically for
cognitive with
fast processors,
accelerators,
memory and
interconnect
technology
IBM Power Systems
Flash storage
that delivers
consistent, highly
efficient and fast
microsecond data
delivery
IBM FlashSystemIntelligent
workload
management to
orchestrate
computing
resources to
solve the most
challenging
workloads
IBM Spectrum Computing
Data Centric
Design
Unified data
access to file and
object-based
storage that
scales up to
petabytes of data
and billions of
files
IBM Spectrum Scale
Automatic,
cognitive-based
data management
to optimize
storage costs and
application
performance
IBM Spectrum Control
Run analytics
applications next
to the data or
within the
transaction to
deliver real-time
insights
IBM z Systems with IBM DB2 Analytics
Accelerator
IBM Systems | 25
Design for cognitive business with IBM Systems
IBM Systems | 26
Build with
Collaborativ
e
Innovation
IBM Systems | 27
Building with Collaborative Innovation means
thinking differently about open technologies and
choice
Optimize my services to
support the dynamic
needs of the business?
Accelerate adoption of
the latest technology
advances without risk?
Innovating with open
technologies to deliver new
solutions faster to market through
community collaboration in support
of a shared vision
Choice for optimization to
select the right platforms,
runtimes and deployment models
required of the workload
How do I?
IBM Systems | 28
Key technologies to build with collaborative
innovation
Innovate with Open
Technologies
Open systems
design and
ecosystem to
customize
solutions to meet
unique business
needs
The OpenPOWER Foundation and
POWER CPU Architecture
Infrastructure
that combines
attributes of
Linux and open
communities with
the best of
enterprise
computing
IBM LinuxONE
Systems optimized
for blockchain
with advanced
cryptography,
transaction
processing and
integration
IBM z Systems
Key technologies to build with collaborative
innovation
IBM z Systems Spark Demo: A Use Case Demo
IBM Systems | 30
Build with Collaborative Innovation with IBM
Systems
IBM Systems | 31
Deliver
through
Cloud
Platform
IBM Systems | 32
Delivering through Cloud Platforms means thinking
differently about securely opening up and controlled
iteration at scale
Open up to partners while
protecting data from
unauthorized users?
Accelerate response
times and development
cycles at scale?
The ability to securely open up
to enable partners to connect to
your core systems and data while
enhancing security to mitigate risk
Controlled iteration at scale to
deliver microsecond performance
and agile DevOps processes
while supporting millions of users
How do I?
IBM Systems | 33
Key technologies to deliver through cloud platform
Securely
Open Up
Securely connect
cloud services to
core business
assets through
APIs to extend the
value of data and
systems
IBM z Systems with z/OS
Connect, IBM Power Systems
with API Connect
Enable complete
workload isolation
and deliver high-
speed encryption to
protect data without
sacrificing
performance
IBM z Systems, IBM LinuxONE
Provide encryption
down to the chip,
transaction and
file-level for
highly sensitive
data
IBM z Systems,
IBM Spectrum Scale
Deliver microsecond
response times for
mobile applications to
exceed customer
expectations for
immediate service
IBM z Systems,
IBM LinuxONE
Support billions of
web interactions,
millions of
transactions and
billions of files for
continuous service
IBM z Systems, IBM LinuxONE,
IBM Spectrum Scale
Invest in enterprise
DevOps processes and
tools to improve
quality and reduce
risk in application
development
IBM z Systems with
Enterprise DevOps
Controlled Iteration
at Scale
IBM Systems | 34
Deliver through cloud platform with IBM Systems
IBM Systems | 35
Infrastructure: New Computing Frontiers
cognitive storage
SyNAPSE quantum computing
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
@VasquesXavier

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Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier Vasques

  • 1. Infrastructure designed for cognitive workloads: Why is it crucial? Xavier Vasques, Technical Director, Systems Hardware, IBM France @VasquesXavier Artificial intelligence (AI) ….the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving
  • 2. © 2015 IBM Corporation AI …. To Do What ? LEARN TRANS MIT IMPRO VE
  • 3. © 2015 IBM Corporation AI …. To Do What ? LEARN, What ? Expertise/skills Knowledge DATAis transforming industries and professions Determine a Cognitive Strategy A foundation of data Becoming a cognitive business Analy tics
  • 4. © 2015 IBM Corporation AI …. To Do What ? IMPROVE, What ? Your Business ! Hybrid Cloud services optimized for industry, data and cognitive APIs Becoming a cognitive business The world is being reinvented in ………………… code
  • 5. © 2015 IBM Corporation AI …. To Do What ? TRANSMIT, HOW ? Systems ! IT infrastructure tuned for cognitive workloads Security Becoming a cognitive business Cognitive …. COMPUTING
  • 6. © 2015 IBM Corporation Systems : The Brain The Brain ? Some Facts …  Serving size 1 per Person (1300 g)  Calories: 1958 (Calories from Fat 1239)  Total Fat: 137.6 g  Cholesterol: 40.30 g  Carbohydrates: 19.88 g  Protein 151.41 g  Memory > 2.5 Million Giga Bytes  Neurons: 80 000 000 000  Synapses: 100 000 000 000 000  Power: 20W  Dimensions: 1450 cm3
  • 7. © 2015 IBM Corporation Systems : The Brain The Brain ? “Non-Cognitive” abilities  Sweating to keep cool  Checking Blood Sugar  Digesting Breakfast  Raising “goose bumps”  Pupils adjusting to sunlight  Tears forming due to pollen  Adjusting breathing rate  Lowering heart rate
  • 8. © 2015 IBM Corporation Systems : The Brain The Brain ? “Cognitive” abilities
  • 9. © 2015 IBM Corporation Systems : The Brain 17 octobre 20169 If the brain doesn’t not work as expected ?
  • 10. © 2015 IBM Corporation Systems 17 octobre 201610 It’s the same for any Systems ! The System has to work as it has to work … at the speed of the brain What happens if : The System doesn't reach the expected speed ? The System looses memory The System has I/O bottlenecks The System doesn’t store the data in the right location The System is not able to process all needed data … … The System is not designed for cognitive
  • 11. © 2015 IBM Corporation Cognitive SYSTEMS Era IA was born Pragmatism and Humble : The emergence of Machine Learning Welcome to the Cognitive Era 1956 70s & 80s Today
  • 12. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Cognitive Business is powered by IBM Watson. Watson is a cloud-based, open platform of expanding cognitive capabilities. With Watson, you can build cognition into digital applications, products and operations. 12
  • 13. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Relationship Extraction Questions & Answers Language Detection Personality Insights Keyword Extraction Image Link Extraction Feed Detection Visual Recognition Concept Expansion Concept Insights Dialog Sentimen t Analysis Text to Speech Tradeoff Analytics Natural Language Classifier Author Extraction Speech to Text Retrieve & Rank Watson News Language Translation Entity Extraction Tone Analyzer Concept Tagging Taxonomy Text Extraction Message Resonance Image Tagging Face Detection Answer Generation Usage Insights Fusion Q&A Video Augmentation Decision Optimization Knowledge Graph Risk Stratification Policy Identification Emotion Analysis Decision Support Criteria Classification Knowledge Canvas Easy Adaptation Knowledge Studio Service Statistical Dialog Q&A Qualification Factoid Pipeline Case Evaluation 13 IBM Watson The Waston that competed on Jeopardy! in 2011 comprised what is now a single API—Q&A—built on five underlying technologies. Since then, Watson has grown to a family of 28 APIs. By the end of 2016, there will be nearly 50 Watson APIs— with more added every year. Natural Language Processing Machine Learning Question Analysis Feature Engineering Ontology Analysis
  • 14. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 14 IBM Watson These APIs are underpinned by 50 technologies: Anaphoric Co-referencing Colloquialism Processing Content Management -- Versioning Convolutional Neural Networks Curation Deep Learning Dialog Framing Ellipses Embedded Table Processing Ensembles and Fusion Entity Resolution Factoid Answering Feature Engineering Feature Normalization Focus and Spurious Phrase Resolution HTML Page Analysis Image Management Information Retrieval Knowledge (Property) Graphs Knowledge Answering Knowledge Extraction Annotators Knowledge Validation and Extrapolation Language Modeling Latent Semantic Analysis Learn To Rank Linguistic Analysis Logical Reasoning Analysis Logistical Regression Machine Learning Multi-Dimensional Clustering Multilingual training n-Gram Analysis (word combinations and distance) Ontology Analysis Pareto Analysis Passage Answering PDF Conversion Phoneme Aggregation Question Analysis Question-answering Reasoning Strategies Recursive Neural Networks Rules Processing Scalable Search Similarity Analytics Statistical Language Parsing Support Vector Machines Syllable Analysis Table Answering Visual Analysis Visual Rendering Voice Synthesis
  • 15. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 15 IBM Watson These technologies draw on five distinct fields of study: Big Data & Analytics Data Mining, Optimization, Text Analytics Artificial Intelligence Machine Learning, Natural Language Processing, Algorithms & Theory Cognitive Experience HCI, Speech, Translation, Machine Vision, Visualization Cognitive Knowledge Knowledge Representation, Ontologies, Semantics, Context Computing Infrastructure High Performance Computing, Distributed Systems, Programming Models & Tools
  • 16. Architecting the future with IT infrastructure for the cognitive era The IBM point-of-view on IT infrastructure for the cognitive era July 2016
  • 17. IBM Systems | 17 of CEOs feel technological disruption is making them reassess strategic direction “We see the business models changing as a result of the creative use of new technologies.” -Eelco Blok, CEO, KPN, Netherlands1 of global business leaders say that a substantial part of their revenue is at risk from technology shifts252% 67% Technology is the most important external influence among the C- Suite today Source: 1) IBM Institute for Business Value, Redefining Competition, Insights from the Global C-suite Study – The CEO Perspective, 2015 Source: 2) Harvard Business Review Analytic Services, The Ecosystem Equation: Competing in the Connected Economy, 2016
  • 18. Organizations struggle with key technology challenges supporting insights, change, and speed Understanding Data Digital intelligence is a primary competitive advantage Yet 88% of all data today is unstructured and invisible to computers1 “The next wave will be all about connecting dots and correlating data to produce actionable insights.” –CIO, Retail, United States2 Keeping Pace Superior technology delivers superior performance Yet the pace of innovation (72%) is now the top CEO challenge, even greater than security (66%)3 “Disruptive technologies could change the fundamentals of our business” –Kazuo Hirai, CEO, Sony Corporation, Japan4 Accelerating Time-to- Market Sustainable success is now measured in days, not weeks Outperforming CxOs are 95% more likely to focus on being first to market4 “We’ve been charged with speeding up time-to-market, both for the products we sell and for our own internal tools.” ⎯Kalev Reiljan, CIO, TeliaSonera, Finland2 Source: 1) IBM Research Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective Source: 3) Fortune, Myth-busting the Fortune 500, 2015 Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015 IBM Systems | 18
  • 19. IBM Systems | 19 Architects of the future require IT infrastructure that can do more than ‘just work’ Servers and storage are no longer inanimate. They can understand, reason, and learn. Today, they can think. Outthink status quo. Think IT infrastructure for the cognitive era. Detect anomalies to proactively resolve issues Move data to right location based on usage patterns
  • 20. IBM Systems | 20 IT infrastructure for the cognitive era means thinking differently about how you design, build, and deliver services Design for Cognitive Business Act at the speed of thought Gives meaning to unstructured data and can perform when the window of action is milliseconds. Build with Collaborative Innovation Deliver through Cloud Platform Accelerate technology breakthroughs Takes advantage of perpetual motion for what is still unknown yet possible with future innovations. Extend the value of systems and data Extends existing business investments to integrate with the ecosystem and accelerate innovation.
  • 21. IBM Systems | 21 Design for Cognitive Business
  • 22. IBM Systems | 22 Designing for cognitive business means thinking differently about analytics acceleration and data centric design Solve complex business problems faster than competitors? Deliver better decisions by taking advantage of oceans of data? Analytics acceleration to deliver the fastest insights with infrastructure designed specifically for complex analytics and machine learning Data centric design to capture the largest variety and volume of data while efficiently locating data and applications in the right place How do I?
  • 23. IBM Systems | 23 Leading US Healthcare Systems Accelerated the sequencing of 3.5 PB of human genome data by a factor of 10x for faster cancer diagnosis Created real-time pricing models to speed decision making by increasing response times by 60x Infrastructure in the cognitive era delivers ground-breaking research, faster cancer diagnostics and real-time pricing models Allowed scientists to produce ground breaking research faster by accessing PB of data in minutes, not days
  • 24. IBM Systems | 24 Key technologies to design for cognitive business Analytics Acceleration Servers designed specifically for cognitive with fast processors, accelerators, memory and interconnect technology IBM Power Systems Flash storage that delivers consistent, highly efficient and fast microsecond data delivery IBM FlashSystemIntelligent workload management to orchestrate computing resources to solve the most challenging workloads IBM Spectrum Computing Data Centric Design Unified data access to file and object-based storage that scales up to petabytes of data and billions of files IBM Spectrum Scale Automatic, cognitive-based data management to optimize storage costs and application performance IBM Spectrum Control Run analytics applications next to the data or within the transaction to deliver real-time insights IBM z Systems with IBM DB2 Analytics Accelerator
  • 25. IBM Systems | 25 Design for cognitive business with IBM Systems
  • 26. IBM Systems | 26 Build with Collaborativ e Innovation
  • 27. IBM Systems | 27 Building with Collaborative Innovation means thinking differently about open technologies and choice Optimize my services to support the dynamic needs of the business? Accelerate adoption of the latest technology advances without risk? Innovating with open technologies to deliver new solutions faster to market through community collaboration in support of a shared vision Choice for optimization to select the right platforms, runtimes and deployment models required of the workload How do I?
  • 28. IBM Systems | 28 Key technologies to build with collaborative innovation Innovate with Open Technologies Open systems design and ecosystem to customize solutions to meet unique business needs The OpenPOWER Foundation and POWER CPU Architecture Infrastructure that combines attributes of Linux and open communities with the best of enterprise computing IBM LinuxONE Systems optimized for blockchain with advanced cryptography, transaction processing and integration IBM z Systems
  • 29. Key technologies to build with collaborative innovation IBM z Systems Spark Demo: A Use Case Demo
  • 30. IBM Systems | 30 Build with Collaborative Innovation with IBM Systems
  • 31. IBM Systems | 31 Deliver through Cloud Platform
  • 32. IBM Systems | 32 Delivering through Cloud Platforms means thinking differently about securely opening up and controlled iteration at scale Open up to partners while protecting data from unauthorized users? Accelerate response times and development cycles at scale? The ability to securely open up to enable partners to connect to your core systems and data while enhancing security to mitigate risk Controlled iteration at scale to deliver microsecond performance and agile DevOps processes while supporting millions of users How do I?
  • 33. IBM Systems | 33 Key technologies to deliver through cloud platform Securely Open Up Securely connect cloud services to core business assets through APIs to extend the value of data and systems IBM z Systems with z/OS Connect, IBM Power Systems with API Connect Enable complete workload isolation and deliver high- speed encryption to protect data without sacrificing performance IBM z Systems, IBM LinuxONE Provide encryption down to the chip, transaction and file-level for highly sensitive data IBM z Systems, IBM Spectrum Scale Deliver microsecond response times for mobile applications to exceed customer expectations for immediate service IBM z Systems, IBM LinuxONE Support billions of web interactions, millions of transactions and billions of files for continuous service IBM z Systems, IBM LinuxONE, IBM Spectrum Scale Invest in enterprise DevOps processes and tools to improve quality and reduce risk in application development IBM z Systems with Enterprise DevOps Controlled Iteration at Scale
  • 34. IBM Systems | 34 Deliver through cloud platform with IBM Systems
  • 35. IBM Systems | 35 Infrastructure: New Computing Frontiers cognitive storage SyNAPSE quantum computing
  • 36. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION @VasquesXavier