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Intelligence artificielle

#experiences17

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experiences.microsoft.fr #experiences17

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Microsoft experiences’17#experiences17

Cloud &DATA Center

Things & Devices

MEMORY

FPGA

IOT: The challenge

From Intelligent Edge to Intelligent Cloud : Intel unique value proposal for your AI projects


MANUFACTURING

INDUSTRIALENERGY

HEALTHCARE

PUBLIC SECTOR

Transportation

AUTOMOTIVESMAR

TBUILD

ING

SMART

HOMERETAI

L

SMART

cities

IOTenabling

transformation

Pumps, valves, conveyers, motors,

assembly, water systems,

pipelines, turbines

Shelf, Displays, Signage, Promos,

POS, Kiosks

Appliances, Energy,

Entertainment, Security

HVAC Systems, Escalators,

Elevators, Access Control,

Lighting

Ships, Vehicles, Fleets, Traffic

Sys, Rail, Bus, Taxi, Parking,

Tolls, Signs, Tags

Monitoring, Imaging,

Diagnostic, Surgical, Beds,

Pumps, Implants



New Innovations

New Capabilities Cost Reduction

Faster Time to Insight

Business Efficiency

Top Three Business Priorities :

• Source: Gartner (September 2016); 451 Research (2016); Q: What is your organization’s most important 12 month IT goal? (N=798)

1 2 3



3 phases of iot

Connected smart autonomous



Top Challenges for Enterprise IT

IT must transform the

business with new compute,

storage, & network

capabilities with greater

efficiencies.

IT must leverage agility and

efficiency of hybrid and

multi cloud environment

IT must extract better

insight from data faster with

higher ROI.

IT must remain in control

of all data so as to protect

the enterprise and its

people.

Delivering solutions to enable the digital transformation



Finding the Optimal Cloud...

Technical

Ecosystem

Business

It’s a Balancing Act

Source: Intel Internal. DCG Q42016

Workload Placement Decision Factors

Business

Considerations

Agility/Time to

market

Legal/Regulatory

Total cost of

ownership

Technical

Considerations

Performance

Integration

Data Size

Security

Ecosystem

Considerations

Mature SaaS

offerings

CSP services

Cloud expertise

accessibility



Configurable Cloud

Data Center

5G

Internet

of Things

Network Transformation

(SDN/NFV)

Technology Trends New Applications New Workloads

▪ Virtual Reality (VR)▪ Augmented Reality (AR)▪ Artificial Intelligence▪ Video & Speech Processing▪ Big Data Analytics▪ Packet processing▪ Security

Future of Computing

Configurable Cloud

• Single architecture for all compute, network

and storage acceleration needs

• Scale-out for for hyperscale cloud

• Power efficiency

• Flexible, multi-function accelerator

+



FPGAs As Reconfigurable Accelerators

Modern Data Center Facts

3-5 year Life Cycle

High CAPEX and OPEX

Requirement to support rapid scale-out

Flexibility to adapt to rapidly changing

workloads

FPGAs Maximize ROI

One Architecture efficiently implements many workloads

Application flexibility

Reconfiguration in µs

Power efficient

✓✓✓✓

CloudDATA Center

Alternative Accelerators

GPU Network Processor FPGA

Throughput ✔ High ✔ High ✔ High

Latency High ✔ Low ✔ Low

Power High ✔ Low ✔ Low

General computing ✔ Yes No ✔ Yes

FPGA provides optimal networking & compute combination



Why build your IOT solutions with Intel

cost savings with scalability

streamlined manageability and

analytics

multilayered, end-to-end security

End-to-end interoperability

to scale applications and services

Seamless data management

and analytics from thing

to network to cloud

A chain of trust rooted

in the hardware and linked

throughout the software



Taking advantage of Optimized Solutions Powered by Intel®

Delivering Optimal TCO, Performance, and Efficiency

Solid State Drives

Ecosystem Enabling

Intel® Storage Builders

Integrated Software

Vendors

Open standards/ open

source contributions

Storage Accelerators &

SoCs

Software

Storage acceleration

libraries (ISA-L)

Intel® CAS - Cache

Acceleration Software

Intel® Xeon®

Hyper-Threading

Intel® OPA

Intel® AVX 512

Intel® QAT

DDR4 Memory Speed

Ecosystem Enabling

Intel® Cloud

Builders

Open Programmable

Acceleration Engine

(OPAE)

SecurityIntel® TXT w/ OTA

Intel® AES-NI

Intel® Secure Key + RDSEED

Intel® Supervisor Mode

Access Prevention (SMAP)

Software

Open Attestation SDK

Intel® Data Center

Manager: KVM gateway

Intel® Node Manager

Intel® Service Assurance

Administrator

Intel® Architecture

Intel® Virtualization

Technologies (Intel® VT)

Ecosystem Enabling

Intel® Open Network

Intel® Network Builders

Network Acceleration

Communications

chipset

Intel® Ethernet CNAs

Software

Intel® QuickAssist APIs

Data Plane Development

Kit

ComputeIntel® Xeon® processor family

Intel® FPGA acceleration

StorageIntel® architecture-based

storage and solid state drives

NetworkIntel® Ethernet

*Other names and brands may be claimed as the property of others.

*All names and brands may be claimed as the property of Intel.



The Future of Manufacturing is Happening Now at Intel

Advanced AnalyticsIntegrated Manufacturing Line Machine Learning

Big Data Delivers Year-Over-Year Gains in Uptime and Output

5 billion DATA POINTS

PER DAY PER FACTORY

• Increased uptime

• Accelerated output

• Higher yield

• Lower mean time to repair



INDUSTRIES DIGITAL transforMATION

Consumer

Health Finance RetailGovernment

EnergyTranspo

rtIndustri

alOther

Smart Assistants

Chatbots

Search

Personalization

Augmented Reality

Robots

Enhanced Diagnostics

Drug Discovery

Patient Care

Research

Sensory Aids

Algorithmic Trading

Fraud Detection

Research

Personal Finance

Risk Mitigation

Support

Experience

Marketing

Merchandising

Loyalty

Supply Chain

Security

Defense

Data Insights

Safety & Security

Resident Engagement

Smarter Cities

Oil & Gas Exploration

Smart Grid

Operational Improvement

Conservation

Automated Cars

Automated Trucking

Aerospace

Shipping

Search & Rescue

Factory Automation

Predictive Maintenance

PrecisionAgriculture

Field Automation

Advertising

Education

Gaming

Professional & IT Services

Telco/Media

Sports

exam

ple

s


Workloads are more than artificial intelligence (AI).

Autonomous vehicles need a car-to-cloud solution.

Some critical algorithms haven’t even been developed yet.

System designs will need to change down the road.

Intel powers hundreds of level 4 and level 5 test vehicles.

Five Things You Should Know about Autonomous Vehicles



Building the Best Autonomous Brain

Perception

Strategy

Action



MODEL TRAINING

ENDPOINT MANAGEMENT

BIG DATA & STATISTICAL ANALYTICS

DATA FORMATTING

ANNOTATION

DATASET MANAGEMENT

DATA AGGREGATION

REAL TIME HD MAP UPDATES

CAR-TO-CAR COMMUNICATION

ANOMALY NOTIFICATION

CROWD SOURCED DATA DISTRIBUTION

PUBLIC AND PRIVATE DATA SECURITY

MODEL INFERENCE

TRAJECTORY ENUMERATION

PATH PLANNING

ENVIRONMENT MONITORING

SENSOR PROCESSING

SENSOR FUSION

t h i n g sN e t w o r

k

Intel® IOT PlatformC L O U D

SuStained by Intelligent cloud and connectivity



libraries Intel® Math Kernel Library (MKL, MKL-DNN)

platforms

Frameworks

Intel® Data Analytics Acceleration Library

(DAAL)

hardware Memory & Storage NetworkingCompute (CPU, FPGA, Asics)

Intel® Python Distribution

MllibBigDL

Intel® Nervana™ Graph*

experiences

*FutureOther names and brands may be claimed as the property of others.

*

Intel® Artificial intelligence portfolio


Intel® Nervana™ Cloud & System

Intel® Nervana™ Deep Learning Studio

Intel® Computer Vision SDK

Movidius™Technology


libraries Intel® Math Kernel Library (MKL, MKL-DNN)

platforms

Frameworks

Intel® Data Analytics Acceleration Library

(DAAL)

hardware Memory & Storage NetworkingCompute (CPU, FPGA, Asics)

Intel® Python Distribution

MllibBigDL

Intel® Nervana™ Graph*

experiences

*FutureOther names and brands may be claimed as the property of others.

*

Intel Optimization on Azure Services and

Cognitive APIs

Intel® Artificial intelligence portfoliowith Microsoft


Intel® Nervana™ Cloud & System

Intel® Nervana™ Deep Learning Studio

Intel® Computer Vision SDK

Movidius™Technology

Thank YOU

Please evaluate the session on experiences17.microsoft.fr

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