Intel Confidential – Do Not Forward
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3 Copyright © Intel Corporation 2019
Joe Jensen VP of Internet of Things Group GM of Retail, Banking, Hospitality & Education Intel Corporation
Thank you for Your PARTNERSHIP
YESTERDAY | TODAY| TOMORROW WE WIN TOGETHER THROUGH UPS AND DOWNS
Copyright © Intel Corporation 2019
Devices / edge network Cloud/data center
2017-2022
IOT Si TAM >$33B
INTEL’s data-centric TRANSFORMATION ENABLING GROWTH ACROSS all SEGMENTS
Autonomous THINGS – EDGE – NETWORK – CLOUD
Copyright © Intel Corporation 2019
VERTICALs MARKET ARE transforming with Computer vision & AI
6
OF ALL IP TRAFFIC WILL BE VIDEO
SMART CITIEs/GOVERNMENT Retail/Hospitality INDUSTRIAL
82% More video data is collected every
day, making it critical for businesses to implement robust
data analysis strategy
By 2021
Source : Intel, https://newsroom.intel.com/wp-content/uploads/sites/11/2018/05/intelvisonproducts-openvinotoolkit-infographic.pdf Note 1 : Mckinsey Global Institute, 2016 THE AGE OF ANALYTICS:COMPETING IN A DATA-DRIVEN WORLD Copyright © Intel Corporation 2019
MANUFACTURING
TRANSPORTATION
ENERGY
VIDEO
HEALTHCARE
RETAIL
DRONES
PHONES
SMART CITIES PCs
Drivers for edge Latency
Bandwidth Security
connectivity
Devices / Things
Core Network
Cloud Data Center
Network Hub or regional Data Center
Edge Compute Node
OUr FUTURE IS EDGE COMPUTING
Copyright © Intel Corporation 2019
INTEL IOT STRATEGIC FOCUS AREAS
Replace
picture
INVEST IN ECOSYSTEM TO DELIVER MARKET READY SOLUTIONS
INVEST IN SILICON Product ROADMAP
Lead Workload Consolidation AT THE EDGE
SCALE VISION ACROSS ALL VERTICALS
Copyright © Intel Corporation 2019
*Other names and brands may be claimed as the property of others.
OUR ECOSYSTEM IS CRITICAL TO OUR STRATEGY
For End Users For Integrators
1000+
Partners
100+ INTEL® Market
ready SOLUTIONS
Other names and brands may be claimed as the property of others.,
Brands depicted are members of the Intel® IoT Solutions Alliance, an ecosystem of industry leaders, the Intel® IoT Solutions Alliance helps OEMs, ISVs, and service providers accelerate deployment of best-in-class solutions including Intel® Market Ready Solutions
Copyright © Intel Corporation 2019
AI Is changing everything
Copyright © Intel Corporation 2019
Intel® Confidential
>$1B of 2019 opportunity
Healthcare Retail Smart Cities Transportation Industrial
Copyright © Intel Corporation 2019
Intel® Confidential
Software Toolkit Visual Inference & Neural network Optimization
+
HIGH PERFORMANCE & SCALABILTY FOR THE EDGE
AGNOSTIC, COMPLEMENTARY TO MAJOR FRAMEWORKS
RAPIDLY DEPLOY SOLUTIONS WITH INTEL® AI: IN PRODUCTION
+
Copyright © Intel Corporation 2019
Intel® Confidential
Skylake
+
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing as of 12/31/17 for “base” and 1/24/19 for all other tests and may not reflect all publicly available security updates. No product or component can be absolutely secure. All measurements on ResNet 50 and Batch Size=1. “base” 8180 Caffe - MKL 2017 FP32 83.79 images/sec 2. 8180 OpenVINO R1.1 FP32 vs “base” 3. 8180 OpenVINO R5 INT8 vs “base” 4. 8280 OpenVINO R5 INT8 vs “base.” Topology used is not representative of performance on other network topologies. Please see configurations page for additional details.
Intel® MKL
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Base
Images/sec
Dec ‘17
(1)
Intel® Confidential
Skylake
+ +
Skylake
R1.1
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing as of 12/31/17 for “base” and 1/24/19 for all other tests and may not reflect all publicly available security updates. No product or component can be absolutely secure. All measurements on ResNet 50 and Batch Size=1. “base” 8180 Caffe - MKL 2017 FP32 83.79 images/sec 2. 8180 OpenVINO R1.1 FP32 vs “base” 3. 8180 OpenVINO R5 INT8 vs “base” 4. 8280 OpenVINO R5 INT8 vs “base.” Topology used is not representative of performance on other network topologies. Please see configurations page for additional details.
Intel® MKL
Other names and brands may be claimed as the property of others.
Base
Images/sec
Dec ‘17
2x June ‘18
(1) (2)
Intel® Confidential
Skylake
+ +
Skylake
R1.1
+
Skylake
R5
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing as of 12/31/17 for “base” and 1/24/19 for all other tests and may not reflect all publicly available security updates. No product or component can be absolutely secure. All measurements on ResNet 50 and Batch Size=1. “base” 8180 Caffe - MKL 2017 FP32 83.79 images/sec 2. 8180 OpenVINO R1.1 FP32 vs “base” 3. 8180 OpenVINO R5 INT8 vs “base” 4. 8280 OpenVINO R5 INT8 vs “base.” Topology used is not representative of performance on other network topologies. Please see configurations page for additional details.
with async Intel® MKL
Other names and brands may be claimed as the property of others.
SAME HARDWARE, BETTER SOFTWARE
leveling the playing field vs. Nvidia and HiSilicon
Base
Images/sec
Dec ‘17
2x June ‘18
Up to16x
dec ‘18
(1) (2) (3)
Intel® Confidential
Skylake
+ +
Skylake
R1.1
+
Skylake
R5 Intel® Vision
Accelerator Designs +
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing as of 12/31/17 for “base” and 1/24/19 for all other tests and may not reflect all publicly available security updates. No product or component can be absolutely secure. All measurements on ResNet 50 and Batch Size=1. “base” 8180 Caffe - MKL 2017 FP32 83.79 images/sec 2. 8180 OpenVINO R1.1 FP32 vs “base” 3. 8180 OpenVINO R5 INT8 vs “base” 4. 8280 OpenVINO R5 INT8 vs “base.” Topology used is not representative of performance on other network topologies. Please see configurations page for additional details.
with async Intel® MKL
Other names and brands may be claimed as the property of others.
SAME HARDWARE, BETTER SOFTWARE
Base
Images/sec
Dec ‘17
2x June ‘18
Up to16x
dec ‘18
(1) (2) (3)
leveling the playing field vs. Nvidia and HiSilicon
Intel® Confidential
Cascade Lake
+
Up to35x 2019
R5
with async
Base
Images/sec
Dec ‘17
Skylake
+ +
Skylake
2x June ‘18
R1.1
+
Skylake
Up to16x dec ‘18
R5 Intel® Vision
Accelerator Designs +
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing as of 12/31/17 for “base” and 1/24/19 for all other tests and may not reflect all publicly available security updates. No product or component can be absolutely secure. All measurements on ResNet 50 and Batch Size=1. “base” 8180 Caffe - MKL 2017 FP32 83.79 images/sec 2. 8180 OpenVINO R1.1 FP32 vs “base” 3. 8180 OpenVINO R5 INT8 vs “base” 4. 8280 OpenVINO R5 INT8 vs “base.” Topology used is not representative of performance on other network topologies. Please see configurations page for additional details.
with async Intel® MKL
SAME HARDWARE, BETTER SOFTWARE
COMPELLING CUSTOMER VALUE
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(1) (2) (3) (4)
Intel Confidential – Do Not Forward
Edge AI capabilities WILL CREATE BETTER EXPERIENCES
19
surveillance 9000+ surveillance cameras used to protect 2 Million+ fans
with 9.1x performance increase using OpenVINO™ toolkit
healthcare 4x performance increase using OpenVINO™ toolkit for classifier of aged macular degeneration images
Smart Cities 10x performance increase with OpenVINO™ toolkit in
just 3 weeks of development
Smart Retail With the OpenVINO™ toolkit, can easily process real-time video recording and transcoding, human detection and
counting, as well as signage management
Transportation / Healthcare OpenVINO™ helped get 11x performance increase on CPU.
And 19x performance increase by adding Intel® Vision Accelerator
MANUFACTURING Flexible, modular robotics solution integrating
artificial intelligence (AI) with machine vision and powered by the new Intel® Vision
Accelerator
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The manual way is getting outdated, fast. Be part of the first
wave in adopting cutting-edge AI solution for self-service
checkout without barcodes.
Through machine learning and inference technology, teach
your POS system to recognise products quickly and
accurately - without writing a single line of code.
Creating the seamless AI journey_
Copyright © Intel Corporation 2019
In a traditional store, store owners want to increase customer satisfaction by offering a quick and effortless checkout experience. In order to achieve this, NexCOBOT has developed a Smart Self-Checkout solution that supports accurate facial recognition for members, easier object detection and real time customer data management. Built on i5-7500T embedded system and Intel OpenVINO, this solution makes the checkout process intelligent, seamless and secure.
Smart Self Checkout Solution
Intelligent ‧ Seamless ‧ Secure
Copyright © Intel Corporation 2019
success
PRODUCTS ECOSYSTEM
VERTICAL BUSINESSES
WINNING in an expanding tam
2022
IOT TAM ~$33B
Source: TAM –. 2022F Si TAM is based on amalgamation of analyst data and Intel analysis Copyright © Intel Corporation 2019
Q&A
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