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The evolution of transformers marks a remarkable advancement in comprehending intricate language patterns. These models are progressively growing in size and precision, enabling them to grasp complex linguistic structures more effectively. However, the real challenge lies in efficiently integrating these advanced models into production systems without incurring exorbitant costs. Striking a balance between superior performance and streamlined resource usage during both training and runtime is crucial for making these large language models (LLMs) viable for deployment in practical production environments.

Author:

Rahul Sharnagat

Principal Machine Learning Engineer
Walmart Global Tech

Rahul Sharnagat is a Principal Data Scientist in Walmart's Search Technologies. He began his career at IBM research lab then worked in Microsoft Bing Ads before joining Walmart in 2018, with his expertise centering around natural language understanding (NER) and question answering. He currently leads the efforts to develop and deploy query understanding models and its application across the search stack. Rahul holds a master's degree in computer science from Indian Institute of Technology, Bombay and a bachelor's degree in computer science from Visvesvaraya National Institute of Technology, Nagpur.

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Rahul Sharnagat

Principal Machine Learning Engineer
Walmart Global Tech

Rahul Sharnagat is a Principal Data Scientist in Walmart's Search Technologies. He began his career at IBM research lab then worked in Microsoft Bing Ads before joining Walmart in 2018, with his expertise centering around natural language understanding (NER) and question answering. He currently leads the efforts to develop and deploy query understanding models and its application across the search stack. Rahul holds a master's degree in computer science from Indian Institute of Technology, Bombay and a bachelor's degree in computer science from Visvesvaraya National Institute of Technology, Nagpur.

Moderator

Author:

Michael Stewart

Partner
M12
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Michael Stewart

Partner
M12
Panellists

Author:

Rashmi Gopinath

General Partner
BAM Corner Point

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.

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Rashmi Gopinath

General Partner
BAM Corner Point

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.

Author:

Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

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Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

Author:

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.

... read more

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.

Author:

Vibhor Rastogi

Global Head AIML Data Investing
Citi Ventures
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Vibhor Rastogi

Global Head AIML Data Investing
Citi Ventures

In this panel, we explore the challenges and opportunities that large, medium, and small companies are facing when they try to pre-train and/or fine-tune Large Language Models (LLMs). More specifically, given the fact that not all companies have the time and resources to pre-train LLMs from scratch, we present options for executing pre-training, or at least fine-tuning, activities in easier and, most importantly, cheaper ways than what is done today. We will therefore discuss how you too can start to efficiently and efficaciously leverage the amazing capabilities provided by LLMs, as well as some important factors that we discovered and that make a significant difference in the creation of high-performance, robust, and reliable LLMs.

Moderator

Author:

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

... read more

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

Panellists

Author:

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

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Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Author:

Greg Makowski

Head of Data Science Services
Johnson Controls
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Greg Makowski

Head of Data Science Services
Johnson Controls

Author:

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

... read more

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

Sree Ganesan, who leads Software Products at Intel’s Habana Labs, will present approaches to bringing efficiency to Generative AI—from the software perspective—and will share things you may not know about what you can do with Gaudi Acceleration. We’ll look at opportunities developers have to optimize performance and build value that can yield positive results. 

Author:

Sree Ganesan

VP of Product
d-Matrix

Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.

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Sree Ganesan

VP of Product
d-Matrix

Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.

In this keynote, we discuss why commercially available general computing hardware architectures are usually not a good choice for executing innovative AI workloads. We also deep dive into understanding some secrets (no technical expertise needed). Most importantly, we address what we can do to ameliorate this situation. Which type of methodologies and approaches can we create or leverage to efficaciously map new classes of AI algorithms to huge, heterogeneous clusters as well as increase the performance of said algorithms (e.g., accuracy, specificity, etc.)? Which promising and commercially available hardware architectures can we use to quickly and cheaply execute AI workloads? Hint: they are not NVIDIA GPUs. And what could our future software-hardware ecosystems look like, architecturally, to simplify the creation, deployment, execution, and monitoring of AI workloads?

Author:

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

... read more

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

 

Will Goodhart

Chief Executive Officer
CFA

Will Goodhart is Chief Executive of the CFA Society of the UK. CFA UK represents the interests of over 12,000 members of the UK investment profession. Under Will’s leadership, CFA UK has instituted its Ethical Leadership and Young Women in Investment programmes and has launched the Certificate in ESG Investing and the Certificate in Climate & Investing. He is an affiliate member of CFA Institute and CFA UK.

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Will Goodhart

Chief Executive Officer
CFA

Will Goodhart

Chief Executive Officer
CFA

Will Goodhart is Chief Executive of the CFA Society of the UK. CFA UK represents the interests of over 12,000 members of the UK investment profession. Under Will’s leadership, CFA UK has instituted its Ethical Leadership and Young Women in Investment programmes and has launched the Certificate in ESG Investing and the Certificate in Climate & Investing. He is an affiliate member of CFA Institute and CFA UK. Will is also a Board member at the Impact Investing Institute and is a member of the Diversity Project's steering committee and the BSI groups working on sustainable finance and investment standards.

 

Rachel Neill

Head of Sustainability
Heptagon Capital

Rachel oversees Heptagon’s ESG strategy and firm-wide sustainability initiatives.  She was previously the Chief Sustainability Officer at Connected Asset Management, a dedicated impact investment manager.  Prior to that she developed the sustainable investment strategy at Smart Pension, the fintech master trust.  Her financial services career spans the UK, Channel Islands and Australia and includes various banking and sustainability roles.  Rachel has a BComm Honors in Financial Analysis and Portfolio Management from the University of Cape Town and earned her CFA Charter in 2019.

Read full bio

Rachel Neill

Head of Sustainability
Heptagon Capital

Rachel Neill

Head of Sustainability
Heptagon Capital

Rachel oversees Heptagon’s ESG strategy and firm-wide sustainability initiatives.  She was previously the Chief Sustainability Officer at Connected Asset Management, a dedicated impact investment manager.  Prior to that she developed the sustainable investment strategy at Smart Pension, the fintech master trust.  Her financial services career spans the UK, Channel Islands and Australia and includes various banking and sustainability roles.  Rachel has a BComm Honors in Financial Analysis and Portfolio Management from the University of Cape Town and earned her CFA Charter in 2019.

AWC US Sample Attendee List 2023
 

Karen Wilkinson

Global Head of Climate risk and Net Zero Oversight
Standard Chartered

Karen Wilkinson

Global Head of Climate risk and Net Zero Oversight
Standard Chartered

Karen Wilkinson

Global Head of Climate risk and Net Zero Oversight
Standard Chartered

Enterprises today face increasing pressure to incorporate GPT-scale large language models, or LLMs, throughout their product suites. However, these LLMs are complex, cumbersome, and costly to deploy. Unlike the human brain, which consumes a mere 30 watts of power, LLMs require massive compute and power footprints that are harming the planet. To address these issues, significant research is being conducted into LLM optimization but skyrocketing demand is outpacing these improvements. In this talk, we show how a new approach, grounded in neuroscience research, can significantly improve the performance of LLMs and provide a sustainable path forward. 

In this presentation, Subutai will:

  • Provide an overview of the Generative AI landscape and the challenges companies face in deploying LLMs.
  • Review recent neuroscience discoveries that show how our brain achieves its incredible computational efficiency.
  • Demonstrate how Numenta’s AI platform can apply these discoveries to AI and enable enterprises to deploy powerful LLMs at scale in an extremely cost-effective manner.

Author:

Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.

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Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.