Intel Confidential – Do Not Forward

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© Intel Corporation 2019.

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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

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

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

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

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

Q&A