Intelligence artificielle. #experiences17

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1 Intelligence artificielle

2 experiences.microsoft.fr

3 IOT: The challenge Cloud & DATA Center MEMOR Y FPGA Things & Devices

4 IOT enabling transformati on Pumps, valves, conveyers, motors, assembly, water systems, pipelines, turbines MANUFACT URING INDUSTRIAL ENERGY Shelf, Displays, Signage, Promos, POS, Kiosks HEALTHCAR E PUBLIC SECTOR SMAR T cities Transporta tion AUTOMOT SMAR IVE SMAR T RETAI T BUILD L HOME ING Appliances, Energy, Entertainment, Security Monitoring, Imaging, Diagnostic, Surgical, Beds, Pumps, Implants HVAC Systems, Escalators, Elevators, Access Control, Lighting Ships, Vehicles, Fleets, Traffic Sys, Rail, Bus, Taxi, Parking, Tolls, Signs, Tags

5 Top Three Business Priorities : Faster Time to Insight Business Efficiency Cost Reduction New Innovations New Capabilities Source: Gartner (September 2016); 451 Research (2016); Q: What is your organization s most important 12 month IT goal? (N=798)

6 3 phases of iot Connected smart autonomous

7 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

8 Finding the Optimal Cloud... It s a Balancing Act Workload Placement Decision Factors Business Technical Ecosystem Business Considerations Agility/Time to market Legal/Regulatory Total cost of ownership Ecosystem Considerations Mature SaaS offerings CSP services Cloud expertise accessibility Technical Considerations Performance Integration Data Size Security Source: Intel Internal. DCG Q42016

9 Configurable Cloud Technology Trends New Applications New Workloads 5G Internet of Things Network Transformation (SDN/NFV) Data Center 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

10 FPGAs As Reconfigurable Accelerators FPGAs Maximize ROI Cloud DATA Center Power efficient One Architecture efficiently implements many workloads Application flexibility Reconfiguration in µs 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 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

11 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

12 Taking advantage of Optimized Solutions Powered by Intel Compute Intel Xeon processor family Intel FPGA acceleration Storage Intel architecture-based storage and solid state drives Network Intel Ethernet Intel Xeon Hyper-Threading Intel OPA Intel AVX 512 Intel QAT DDR4 Memory Speed Security Intel TXT w/ OTA Intel AES-NI Intel Secure Key + RDSEED Intel Supervisor Mode Access Prevention (SMAP) Solid State Drives Storage Accelerators & SoCs Intel Architecture Intel Virtualization Technologies (Intel VT) Network Acceleration Communications chipset Intel Ethernet CNAs Ecosystem Enabling Intel Cloud Builders Open Programmable Acceleration Engine (OPAE) Software Open Attestation SDK Intel Data Center Manager: KVM gateway Intel Node Manager Intel Service Assurance Administrator Ecosystem Enabling Intel Storage Builders Integrated Software Vendors Open standards/ open source contributions Software Storage acceleration libraries (ISA-L) Intel CAS - Cache Acceleration Software Ecosystem Enabling Intel Open Network Intel Network Builders Software Intel QuickAssist APIs Data Plane Development Kit Delivering Optimal TCO, Performance, and Efficiency *Other names and brands may be claimed as the property of others. *All names and brands may be claimed as the property of Intel.

13 The Future of Manufacturing is Happening Now at Intel Integrated Manufacturing Line Advanced Analytics Machine Learning 5 billion DATA POINTS PER DAY PER FACTORY Increased uptime Accelerated output Higher yield Lower mean time to repair Big Data Delivers Year-Over-Year Gains in Uptime and Output

14 example s INDUSTRIES DIGITAL transformation Consum er Health Finance Retail Govern ment Energy Transpo rt Industri al Other 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 Precision Agriculture Field Automation Advertising Education Gaming Professional & IT Services Telco/Media Sports

15 Five Things You Should Know about Autonomous Vehicles Workloads are more than artificial intelligence (AI). 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. Autonomous vehicles need a carto-cloud solution.

16 Building the Best Autonomous Brain Perception Strategy Action

17 SuStained by Intelligent cloud and connectivity things Networ k Intel IOT Platform CLOUD MODEL INFERENCE REAL TIME HD MAP UPDATES MODEL TRAINING TRAJECTORY ENUMERATION CAR-TO-CAR COMMUNICATION ENDPOINT MANAGEMENT PATH PLANNING ANOMALY NOTIFICATION BIG DATA & STATISTICAL ANALYTICS ENVIRONMENT MONITORING CROWD SOURCED DATA DISTRIBUTION DATA FORMATTING SENSOR PROCESSING PUBLIC AND PRIVATE DATA SECURITY ANNOTATION SENSOR FUSION DATASET MANAGEMENT DATA AGGREGATION

18 Intel Artificial intelligence portfolio experie nces platfor ms Framew orks Intel Nervana Cloud & System Mllib BigDL Intel Nervana Deep Learning Studio Intel Computer Vision SDK Movidius Technology libraries Intel Python Distribution Intel Data Analytics Acceleration Library (DAAL) Intel Nervana Graph* Intel Math Kernel Library (MKL, MKL-DNN) hardwar * e Compute (CPU, FPGA, Asics) Memory & Storage Networking *Future Other names and brands may be claimed as the property of others.

19 Intel Artificial intelligence portfolio with Microsoft experie nces platfor ms Framew orks Intel Nervana Cloud & System Mllib BigDL Intel Optimization on Azure Services and Cognitive APIs Intel Nervana Deep Learning Studio Intel Computer Vision SDK Movidius Technology libraries Intel Python Distribution Intel Data Analytics Acceleration Library (DAAL) Intel Nervana Graph* Intel Math Kernel Library (MKL, MKL-DNN) hardwar * e Compute (CPU, FPGA, Asics) Memory & Storage Networking *Future Other names and brands may be claimed as the property of others.

20 Thank YOU Please evaluate the session on experiences17.microsoft.fr