Software for AI Optimization Summit 2021

AI Optimization at the Software Level for Cloud and Edge AI

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VIRTUAL EVENT | EST Timezone
8-9 June, 2021

“Software can change AI performance by orders of magnitude.”

Wei Li, Vice President and General Manager of Machine Learning Performance, Intel

Why Attend

AI optimization and acceleration so far has mostly been driven by novel hardware innovations. However, recently there have been new products developed by the AI start-up and research communities that operate at the software level in the machine learning technology stack, which reduce training length, inference time, energy consumption and memory usage of AI and machine learning (ML) models.

Learning how to benchmark, deploy, and use these tools, as well as scrutinizing existing real-world use-cases is business-critical because these tools disrupt the AI market by: 

  • Enhancing the running of ML models on CPUs, therefore, reducing the costs of ownership of AI hardware
  • Improving the performance of standard AI accelerators (GPUs, FPGAs, DSPs etc.)
  • Helping more data science and machine learning projects get into full production
  • Increasing the competitiveness of products in the crowded edge device and IoT markets

The Software for AI Optimization Summit will demonstrate how to deploy and integrate the latest novel software optimization tools into AI/ML workflows. Consequently, innovators and adopters in data science, machine learning, AI engineering and IoT solutions will uncover new techniques that enable the training and inference of AI and ML models to be faster, more cost-efficient, and still maintain high levels of performance and accuracy.

Consequently, you will be ahead of the latest innovations across the ML technology stack enabling you to make informed decisions about strategic partnerships on who to partner with to optimize AI on the cloud and at the edge.

Key Topics for 2021

  • Benchmark and understand how training and inference time, energy consumption and memory usage of AI is impacted by software for AI optimization

  • Navigate the market by networking with End-Users from the IoT, Edge & Cloud, AI Hardware Vendors, Researchers, Software Providers & Investors

  • Learn from use cases how to deploy models on resource-constrained devices and create space for additional functionality
  • Hear from practitioners in MLOps on how to get more machine learning and data science projects into production

  • Collaborate with partners in the AI ecosystem across the software and hardware stack to achieve end-to-end optimization and acceleration

The ML technology stack and the optimizations possible at each level

150+
Attendees
20+
Leading speakers
8
Industry Leading Events in the KR Tech Portfolio

The Agenda

Download the Software for AI Optimization 2021 agenda. 

 Watch highlights from the AI Hardware Summit 2019:

Download the agenda

Speakers

 

Andrew Richards

CEO
Codeplay

CEO and co-founder of Codeplay, Andrew started his career writing video games in the days of 8-bit computers, progressing to become a lead games programmer at Eutechnyx™, where he wrote best-selling titles such as Pete Sampras Tennis and Total Drivin’. Codeplay have been producing compilers for games consoles, special-purpose processors and GPUs since then. As well as being CEO and Founder of Codeplay Software Ltd, Andrew is also the Chair of the Software working group of the HSA Foundation™ and former Chair of the SYCL™ for OpenCL™ sub-group of the Khronos® Group.

Andrew Richards

CEO
Codeplay

Andrew Richards

CEO
Codeplay

CEO and co-founder of Codeplay, Andrew started his career writing video games in the days of 8-bit computers, progressing to become a lead games programmer at Eutechnyx™, where he wrote best-selling titles such as Pete Sampras Tennis and Total Drivin’. Codeplay have been producing compilers for games consoles, special-purpose processors and GPUs since then. As well as being CEO and Founder of Codeplay Software Ltd, Andrew is also the Chair of the Software working group of the HSA Foundation™ and former Chair of the SYCL™ for OpenCL™ sub-group of the Khronos® Group.

 

Wei Li

Vice President and General Manager of Machine Learning Performance
Intel

Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation, where he is responsible for AI software product development for deep learning, statistical machine learning and big data analytics, as well as hardware co-design for AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. He is passionate about product technology innovation and his team’s work has been instrumental in realizing Intel's multi-billion dollar AI revenue growth.

Wei Li

Vice President and General Manager of Machine Learning Performance
Intel

Wei Li

Vice President and General Manager of Machine Learning Performance
Intel

Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation, where he is responsible for AI software product development for deep learning, statistical machine learning and big data analytics, as well as hardware co-design for AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. He is passionate about product technology innovation and his team’s work has been instrumental in realizing Intel's multi-billion dollar AI revenue growth.

As a performance software technologist, he has led teams to win competitions and set performance world records in AI, data analytics and high performance computing. He received his Ph.D. in Computer Science from Cornell University and completed an executive accelerator program at the Stanford Graduate School of Business. 

 

Peter Grabowski

Head of Enterprise AI
Google Austin

Peter Grabowski

Head of Enterprise AI
Google Austin

Peter Grabowski

Head of Enterprise AI
Google Austin
 

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

 

Alvin Andrian

Data Scientist
Boozt

Alvin Andrian

Data Scientist
Boozt

Alvin Andrian

Data Scientist
Boozt
 

Zach Shelby

Co-Founder and CEO
Edge Impulse

Zach is an entrepreneur, angel investor and technologist in the embedded space with a passion for TinyML, embedded and Internet engineering. Zach is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, active in several of his portfolio companies, and is working to bring ML to any embedded device as co-founder and CEO of Edge Impulse.

Zach Shelby

Co-Founder and CEO
Edge Impulse

Zach Shelby

Co-Founder and CEO
Edge Impulse

Zach is an entrepreneur, angel investor and technologist in the embedded space with a passion for TinyML, embedded and Internet engineering. Zach is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, active in several of his portfolio companies, and is working to bring ML to any embedded device as co-founder and CEO of Edge Impulse.

Prior to this, he served in a number of roles at Arm, including VP of developers, VP of marketing, and director of technology for IoT. Zach was the co-founder and CEO of the Micro:bit Foundation and the co-founder of Sensinode, acquired by Arm in 2013, where he acted as CEO and CTO. He is an active investor and advisor for tech startups, including CubiCasa (PropTech), Augumenta (AR), Petasense (Industrial IoT) and Walkia Lighting (LED lighting). Before starting Sensinode, he led wireless Internet networking research at the Centre for Wireless Communications and at the Technical Research Center of Finland. Zach has served on the Technical Advisory Board and Board of Directors at the IPSO Alliance, has contributed to numerous IoT-related standards and was awarded the Nokia Foundation Award in 2014 for his work on the Internet of Things.

 

Calin Barburescu

Machine Learning Researcher
Everseen

Calin Barburescu

Machine Learning Researcher
Everseen

Calin Barburescu

Machine Learning Researcher
Everseen
 

Werner Bailer

Key Researcher Machine Vision Applications
Joanneum Research

Werner Bailer

Key Researcher Machine Vision Applications
Joanneum Research

Werner Bailer

Key Researcher Machine Vision Applications
Joanneum Research
 

Rangan Sreenivas

Distinguished Technologist
Hewlett Packard Enterprise

Rangan Sreenivas

Distinguished Technologist
Hewlett Packard Enterprise

Rangan Sreenivas

Distinguished Technologist
Hewlett Packard Enterprise
 

Dr. Bernd Waschneck

Head of System Innovation & Software Dresden
Infineon Technologies

Dr. Bernd Waschneck

Head of System Innovation & Software Dresden
Infineon Technologies

Dr. Bernd Waschneck

Head of System Innovation & Software Dresden
Infineon Technologies
 

David Kanter

Founder & Executive Director
MLCommons

David founded and leads MLCommons, to make machine learning better for everyone through benchmarks, such as MLPerf, and building datasets and tools for data-centric AI.

David Kanter

Founder & Executive Director
MLCommons

David Kanter

Founder & Executive Director
MLCommons

David founded and leads MLCommons, to make machine learning better for everyone through benchmarks, such as MLPerf, and building datasets and tools for data-centric AI.

The mission of MLCommons™ is to make machine learning better for everyone. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices. MLCommons firmly believes in the power of open-source and open data. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

 

Ranjeet Singh

Senior Data Scientist
Roadzen

Ranjeet Singh

Senior Data Scientist
Roadzen

Ranjeet Singh

Senior Data Scientist
Roadzen
 

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

 

Venkatesh Wadawadagi

Solution Consultant
Sahaj.ai

Venkatesh is a senior data scientist, practice leader, author and speaker. As a solution consultant at Sahaj Software Solutions, he helps businesses solve complex problems using AI-powered solutions. 

Venkatesh Wadawadagi

Solution Consultant
Sahaj.ai

Venkatesh Wadawadagi

Solution Consultant
Sahaj.ai

Venkatesh is a senior data scientist, practice leader, author and speaker. As a solution consultant at Sahaj Software Solutions, he helps businesses solve complex problems using AI-powered solutions. 

He specialises in Deep Learning, Computer Vision, Machine Learning, embedded-AI and business intelligence. He has extensive experience in building algorithms, leading the teams/efforts, architecting the solution and research. He has worked on a variety of solutions ranging from building brand monitoring systems, building a Deep Learning Inference Engine for an e-AI chip, implementing Adaptive Traffic Control System to research and development in the area of ATM surveillance. 

He also has experience of working across other areas like Video Codecs, embedded systems, FPGA subsystems and Linux programming & development. Earlier he has worked with the Uncanny Vision Solutions and Pathpartner Technology.

 

Simon Wiedemann

Co-Founder & CSO
ToriML

Simon Wiedemann

Co-Founder & CSO
ToriML

Simon Wiedemann

Co-Founder & CSO
ToriML
 

Peter Buckingham

Director of R&D
VMware

Peter Buckingham

Director of R&D
VMware

Peter Buckingham

Director of R&D
VMware
 

Nic Lane

Associate Professor
University of Cambridge

Nic Lane

Associate Professor
University of Cambridge

Nic Lane

Associate Professor
University of Cambridge
 

Frédéric Desbiens

Program Manager, IoT and Edge Computing
Eclipse Foundation

Frédéric Desbiens is working at the Eclipse Foundation as the program manager for IoT and Edge Computing. His job is to help the community innovate by bringing devices and software together. He is a strong supporter of open source. In the past, he worked as a product manager, solutions architect and developer for companies as diverse as Pivotal, Cisco and Oracle. Frédéric holds an MBA in electronic commerce, a BASc in Computer Science and a BEd, all from Université Laval.

Frédéric Desbiens

Program Manager, IoT and Edge Computing
Eclipse Foundation

Frédéric Desbiens

Program Manager, IoT and Edge Computing
Eclipse Foundation

Frédéric Desbiens is working at the Eclipse Foundation as the program manager for IoT and Edge Computing. His job is to help the community innovate by bringing devices and software together. He is a strong supporter of open source. In the past, he worked as a product manager, solutions architect and developer for companies as diverse as Pivotal, Cisco and Oracle. Frédéric holds an MBA in electronic commerce, a BASc in Computer Science and a BEd, all from Université Laval.

 

Michael McCourt

Head of Engineering
SigOpt

Michael McCourt is the head of engineering for the SigOpt team within Intel, developing computational statistics and AI tools to power efficient model development and experimental design. His team is responsible for both the research into novel methodologies and their stable and robust implementation and deployment in our enterprise SaaS platform.

Michael McCourt

Head of Engineering
SigOpt

Michael McCourt

Head of Engineering
SigOpt

Michael McCourt is the head of engineering for the SigOpt team within Intel, developing computational statistics and AI tools to power efficient model development and experimental design. His team is responsible for both the research into novel methodologies and their stable and robust implementation and deployment in our enterprise SaaS platform. He did his undergraduate work at the Illinois Institute of Technology, graduate work at Cornell, and postdoc at CU-Denver, all in Applied Mathematics.  He has authored more than 20 peer-reviewed articles and a text on kernel methods in mathematics and statistics.

 

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research

Chris is a co-founder and co-CEO of ABR. Chris leads all of the scientific and technical aspects of ABR. Chris is also a professor at the University of Waterloo appointed in the Philosophy and  Systems Design Engineering departments and cross-appointed to Computer Science. He holds the Canada Research Chair in Theoretical Neuroscience and is the director of the Centre for Theoretical Neuroscience (CTN) at the University of Waterloo. Chris has published over a hundred articles and two books: How to Build a Brain (Oxford University Press) and his seminal Neural Engineering.

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research

Chris is a co-founder and co-CEO of ABR. Chris leads all of the scientific and technical aspects of ABR. Chris is also a professor at the University of Waterloo appointed in the Philosophy and  Systems Design Engineering departments and cross-appointed to Computer Science. He holds the Canada Research Chair in Theoretical Neuroscience and is the director of the Centre for Theoretical Neuroscience (CTN) at the University of Waterloo. Chris has published over a hundred articles and two books: How to Build a Brain (Oxford University Press) and his seminal Neural Engineering. In 2015, he won the prestigious NSERC Polanyi Award for his research.

 

Benjamin Cabé

Principal Program Manager
Microsoft Azure IoT

Benjamin Cabé

Principal Program Manager
Microsoft Azure IoT

Benjamin Cabé

Principal Program Manager
Microsoft Azure IoT
 

Jianhui Li

Principal Engineer
Intel

Jianhui Li

Principal Engineer
Intel

Jianhui Li

Principal Engineer
Intel

Who will be there

  • Users

    - Automotive
    - Automation & Robotics
    - Drones
    - Retail
    - Edge Device Manufacturers
    - Computer Vision
    - Healthcare

    30%
  • Software Solution Providers
    30%
  • AI Hardware Providers
    20%
  • Cloud Providers
    10%
  • Academic and Research Institutions
    10%

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