AI Hardware Vendors | Kisaco Research

AI Hardware Vendors

Why should AI Hardware Vendors Attend Enterprise Generative AI Summit West?

Gain exposure to the latest and greatest Generative AI adopters. Firstly, larger enterprise firms within finance, pharma and retail need to understand complete solutions for Generative AI infrastructure. Secondly, cloud service providers and hyperscalers want to understand cost-per-component and cost-per-inference within training models. Lastly, connect with dominant and emerging players within the Generative AI vendor space, from Generative AI software, middleware and foundation model builders who want to create their hardware infrastructure and need partners to help scale their operations.

As such, the Enterprise Generative AI Summit West is the perfect venue to connect with a comprehensive ecosystem of players across various industries. Enhance your product offerings through firsthand enterprise knowledge and connections with key decision-makers within organizations.

Don’t miss out on this opportunity to expand your knowledge and network in the Generative AI field.

REGISTER YOUR INTEREST

Vendors who have signed up to attend...

Featured Speakers Include

 

Sai Teja Akula

Senior Director, Data Science
LTX Trading

With over a decade of dedicated experience in the field of Artificial Intelligence, Sai stands at the forefront of implementing and leveraging Data Science within organizations. A respected figure in the AI community, Sai has played an instrumental role in the transformation of traditional business models by seamlessly integrating advanced data-driven solutions. His expertise extends from developing sophisticated machine learning algorithms to strategizing the holistic implementation of AI within organizational infrastructures

Read full bio

Sai Teja Akula

Senior Director, Data Science
LTX Trading

Sai Teja Akula

Senior Director, Data Science
LTX Trading

With over a decade of dedicated experience in the field of Artificial Intelligence, Sai stands at the forefront of implementing and leveraging Data Science within organizations. A respected figure in the AI community, Sai has played an instrumental role in the transformation of traditional business models by seamlessly integrating advanced data-driven solutions. His expertise extends from developing sophisticated machine learning algorithms to strategizing the holistic implementation of AI within organizational infrastructures

 

Julius Lo

Director
NEUCHIPS

Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.

Read full bio

Julius Lo

Director
NEUCHIPS

Julius Lo

Director
NEUCHIPS

Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.

 

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.

Read full bio

Gayathri Radhakrishnan

Partner
Hitachi Ventures

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.

 

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces.

Read full bio

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

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Agenda highlights

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How To Prepare Your Board and C-Suite For AI

The need to deliver trusted AI has never been greater. Join these leaders as they talk about building a future of Ethical and Safe AI. Learn the key pillars boards and C-suites need to consider throughout the lifecycle of an AI First strategy.

Author:

Shaloo Garg

Managing Director
Microsoft - Late Stage Startups & Unicorns

Shaloo Garg is Managing Director, Late Stage Startups & Unicorns and based out of Silicon Valley. She brings a combination of strong startup, enterprise, strategic partnership and corporate development experience.

Previously, Shaloo was Partner , Global Oracle Innovation at Oracle where she lead the Global Corporate Innovation practice of commercializing revenue opportunities for startups into the enterprise client base and partner ecosystem. She has also lead go-to-market for Oracle’s cloud business and was part of the M&A team that acquired Peoplesoft, Siebel, Retek etc. Prior to joining Oracle, she was in a couple of early stage startups. Shaloo is passionate about Tech for Good and is President , BOD at UN Women, Silicon Valley , a “Champion of Innovation” at UN Women where she is spinning up virtual Innovation Labs with Universities leveraging emerging technologies to encourage digital literacy in developing countries for young girls who do not have access to education.

Shaloo strongly believes that technology’s best use case ever is using its power to impact wider social issues like hunger, poverty, STEM education, clean water, energy, sustainable cities etc in developing and under-developed economies. Shaloo is a Guest speaker at Penn Law School and is an MBA from Delhi University and has done specialization in Innovation and Design Thinking from Stanford d.School. Words to live by: “In life, there are no mistakes… only lessons” – Vic Johnson.

... read more

Shaloo Garg

Managing Director
Microsoft - Late Stage Startups & Unicorns

Shaloo Garg is Managing Director, Late Stage Startups & Unicorns and based out of Silicon Valley. She brings a combination of strong startup, enterprise, strategic partnership and corporate development experience.

Previously, Shaloo was Partner , Global Oracle Innovation at Oracle where she lead the Global Corporate Innovation practice of commercializing revenue opportunities for startups into the enterprise client base and partner ecosystem. She has also lead go-to-market for Oracle’s cloud business and was part of the M&A team that acquired Peoplesoft, Siebel, Retek etc. Prior to joining Oracle, she was in a couple of early stage startups. Shaloo is passionate about Tech for Good and is President , BOD at UN Women, Silicon Valley , a “Champion of Innovation” at UN Women where she is spinning up virtual Innovation Labs with Universities leveraging emerging technologies to encourage digital literacy in developing countries for young girls who do not have access to education.

Shaloo strongly believes that technology’s best use case ever is using its power to impact wider social issues like hunger, poverty, STEM education, clean water, energy, sustainable cities etc in developing and under-developed economies. Shaloo is a Guest speaker at Penn Law School and is an MBA from Delhi University and has done specialization in Innovation and Design Thinking from Stanford d.School. Words to live by: “In life, there are no mistakes… only lessons” – Vic Johnson.

Author:

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.
... read more

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.

Building Data Foundation For Responsible AI To Drive Business Advantage

Organizations are witnessing the dawn of the data-driven, AI, and regulatory era. The data-driven and digital transformation of organizations is occurring at a rapid pace in order to stay relevant and pave the way to a sustainable future. The consolidation of an organization’s data into a governed, trusted, and well-managed environment that supports both AI development and production workloads is playing a crucial role in this transformation. Organizations want to take advantage of AI, but they need a trusted foundation and access to the data. Our mission is to deliver a trusted, enterprise-wide, data and AI backbone for transforming IBM into an AI Enterprise. This is helping to accelerate the infusion of data and AI in business processes and provide a fertile environment for identifying, building, and deploying responsible generative AI solutions. The resulting benefits to business are reduced time to find and consume data, reduced time to implement initiatives across business units, reduced end-to-end cycle time, and delivering insights that were previously impossible.

Author:

Ranjan Sinha, Ph.D.

IBM Fellow, VP, and CTO
IBM

Ranjan Sinha is an IBM Fellow, VP, and CTO focusing on AI strategy to develop a turnkey approach to enabling AI with enterprise data. He is a digital transformational leader and innovator in data platforms, data engineering, and data science. He is on the front lines of transforming IBM into an AI Enterprise and helping IBM's clients navigate their data and AI journeys in a hybrid cloud environment. He has published over 30 peer-reviewed papers, books, and patents. He has been awarded federal and university research grants, and won the global sort benchmark for JouleSort and PennySort. He holds a PhD in computer science from RMIT University in Australia, has been a research academic at the University of Melbourne, and held data science roles at eBay Inc. He is passionate about promoting wellness, safety and empowerment of vulnerable groups, and an advocate for social and global issues.

... read more

Ranjan Sinha, Ph.D.

IBM Fellow, VP, and CTO
IBM

Ranjan Sinha is an IBM Fellow, VP, and CTO focusing on AI strategy to develop a turnkey approach to enabling AI with enterprise data. He is a digital transformational leader and innovator in data platforms, data engineering, and data science. He is on the front lines of transforming IBM into an AI Enterprise and helping IBM's clients navigate their data and AI journeys in a hybrid cloud environment. He has published over 30 peer-reviewed papers, books, and patents. He has been awarded federal and university research grants, and won the global sort benchmark for JouleSort and PennySort. He holds a PhD in computer science from RMIT University in Australia, has been a research academic at the University of Melbourne, and held data science roles at eBay Inc. He is passionate about promoting wellness, safety and empowerment of vulnerable groups, and an advocate for social and global issues.

Data Science Track: Enhancing AI Reliability: Strategies In Hallucination Prevention, Streamlining Data Batching & Enhancing Compliance

Investment In Generative AI-Specific Infrastructure For Cost & Energy Reduction

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.

... read more

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:

Parasvil Patel

Partner
Radical Ventures

Parasvil Patel is a Partner with Radical Ventures where he works with entrepreneurs building and deploying AI technologies. Prior to joining Radical, Parasvil was with KKR and started his career with BCG. Parasvil holds an MBA from Harvard Business School and received a B.Tech. in Electrical Engineering from IIT Bombay.

... read more

Parasvil Patel

Partner
Radical Ventures

Parasvil Patel is a Partner with Radical Ventures where he works with entrepreneurs building and deploying AI technologies. Prior to joining Radical, Parasvil was with KKR and started his career with BCG. Parasvil holds an MBA from Harvard Business School and received a B.Tech. in Electrical Engineering from IIT Bombay.

Author:

John Wei

Venture Investment Director
Applied Ventures

John Wei is a venture investment director at Applied Ventures. He focuses on a range of deep tech areas and industry verticals, including advanced materials, semiconductor manufacturing and industrial & enterprise software. He also manages Applied Ventures’ investment activities in the Greater China region.

Prior to joining Applied, John was a key member of the SABIC Ventures investment team, where he led multiple investments in advanced materials, energy, sustainability, manufacturing and agriculture space in North America, Europe and Greater China.

Earlier in his career, John held various commercial and technical roles at The Linde Group and General Electric with experiences mostly in the petrochemical, power generation, alternative energy and oil & gas industries.

John has a Bachelor degree from Tsinghua University and a PhD from Rutgers University, both in Chemical Engineering. While at Rutgers, he also earned a Master's degree in Computer Science. In addition, John holds an MBA degree from UCLA with a focus in Finance and Entrepreneurship.

... read more

John Wei

Venture Investment Director
Applied Ventures

John Wei is a venture investment director at Applied Ventures. He focuses on a range of deep tech areas and industry verticals, including advanced materials, semiconductor manufacturing and industrial & enterprise software. He also manages Applied Ventures’ investment activities in the Greater China region.

Prior to joining Applied, John was a key member of the SABIC Ventures investment team, where he led multiple investments in advanced materials, energy, sustainability, manufacturing and agriculture space in North America, Europe and Greater China.

Earlier in his career, John held various commercial and technical roles at The Linde Group and General Electric with experiences mostly in the petrochemical, power generation, alternative energy and oil & gas industries.

John has a Bachelor degree from Tsinghua University and a PhD from Rutgers University, both in Chemical Engineering. While at Rutgers, he also earned a Master's degree in Computer Science. In addition, John holds an MBA degree from UCLA with a focus in Finance and Entrepreneurship.

Author:

Santosh Raghavan

Sr. Staff Hardware Technologist
Groq

Santosh Raghavan is a seasoned hardware technologist at Groq, where he drives innovation in high-performance and energy-efficient solutions for Generative AI applications. His expertise lies in evaluating and designing cutting-edge technologies that deliver exponential improvements in performance per dollar and performance per watt. Building on his experience in advanced memory development at Intel and high-speed digital and analog circuits at MaxLinear, he leverages his PhD in Semiconductor Materials from UCSB to push the boundaries of what's possible.

... read more

Santosh Raghavan

Sr. Staff Hardware Technologist
Groq

Santosh Raghavan is a seasoned hardware technologist at Groq, where he drives innovation in high-performance and energy-efficient solutions for Generative AI applications. His expertise lies in evaluating and designing cutting-edge technologies that deliver exponential improvements in performance per dollar and performance per watt. Building on his experience in advanced memory development at Intel and high-speed digital and analog circuits at MaxLinear, he leverages his PhD in Semiconductor Materials from UCSB to push the boundaries of what's possible.

Lowering Complexity & Improving Efficiency Of Inferencing

Author:

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

... read more

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

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