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Agentic and Gen AI

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.

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:

RK Anand

Co-Founder and CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

RK Anand

Co-Founder and CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

Author:

Milind Naphade

SVP AI Foundations
Capital One

Milind Naphade, SVP, Technology, leads the AI Foundations team at Capital One. In this capacity, Milind partners with product, tech, and business leaders to advance AI efforts, such as generative AI, at Capital One.

Prior to joining Capital One, Milind was the Chief Technology Officer of Metropolis at NVIDIA where he led the technology and innovation strategy and execution for NVIDIA’s Metropolis platform and product offerings. Prior to joining NVIDIA, Milind held executive and leadership roles at Cisco and IBM Research. As the Director of the cognitive systems organization at Cisco, he built the organization that focused on machine learning, natural language processing and AI. In his 14 years at IBM Research, Milind led several company-wide strategic AI initiatives in multimedia analytics and smarter planet solutions.

 

 

Milind Naphade

SVP AI Foundations
Capital One

Milind Naphade, SVP, Technology, leads the AI Foundations team at Capital One. In this capacity, Milind partners with product, tech, and business leaders to advance AI efforts, such as generative AI, at Capital One.

Prior to joining Capital One, Milind was the Chief Technology Officer of Metropolis at NVIDIA where he led the technology and innovation strategy and execution for NVIDIA’s Metropolis platform and product offerings. Prior to joining NVIDIA, Milind held executive and leadership roles at Cisco and IBM Research. As the Director of the cognitive systems organization at Cisco, he built the organization that focused on machine learning, natural language processing and AI. In his 14 years at IBM Research, Milind led several company-wide strategic AI initiatives in multimedia analytics and smarter planet solutions.

 

 

Author:

Raul Martynek

CEO
Databank

Raul Martynek joined DataBank in 2017 as the Chief Executive Officer. In this role, he defines the strategic direction of the company and its operations. Raul is a 20+ year veteran in the telecom and Internet Infrastructure sector. He most recently served as a Senior Advisor for Digital Bridge Holdings LLC. Prior to Digital Bridge, he served as CEO for New Jersey-based data center and managed services operator Net Access, LLC. Net Access was acquired in 2015 by Denver-based data center operator Cologix. 5Prior to Net Access, he was the CEO of Voxel dot Net, Inc., a global managed hosting and cloud company, which was acquired by Internap Network Services Corp. in 2012. Mr. Martynek also served as the Chief Restructuring Officer of Smart Telecom, a Dublin, Ireland-based fiber carrier which was acquired by Digiweb in 2009.

Before that he evaluated investment opportunities in the telecommunications and Internet sector as a Senior Advisor at Plainfield Asset Management, a $4B hedge fund. Prior to Plainfield, Mr. Martynek spent 13 years with telecom and Internet provider InfoHighway Communications Corp; first as Chief Operating Officer of Eureka Networks and then as President and CEO of InfoHighway. InfoHighway was acquired by Broadview Networks in 2007. Mr. Martynek earned a Bachelor of Arts in Political Science from Binghamton University and received a Master Degree in International Affairs from Columbia University School of International and Public Affairs.

Raul Martynek

CEO
Databank

Raul Martynek joined DataBank in 2017 as the Chief Executive Officer. In this role, he defines the strategic direction of the company and its operations. Raul is a 20+ year veteran in the telecom and Internet Infrastructure sector. He most recently served as a Senior Advisor for Digital Bridge Holdings LLC. Prior to Digital Bridge, he served as CEO for New Jersey-based data center and managed services operator Net Access, LLC. Net Access was acquired in 2015 by Denver-based data center operator Cologix. 5Prior to Net Access, he was the CEO of Voxel dot Net, Inc., a global managed hosting and cloud company, which was acquired by Internap Network Services Corp. in 2012. Mr. Martynek also served as the Chief Restructuring Officer of Smart Telecom, a Dublin, Ireland-based fiber carrier which was acquired by Digiweb in 2009.

Before that he evaluated investment opportunities in the telecommunications and Internet sector as a Senior Advisor at Plainfield Asset Management, a $4B hedge fund. Prior to Plainfield, Mr. Martynek spent 13 years with telecom and Internet provider InfoHighway Communications Corp; first as Chief Operating Officer of Eureka Networks and then as President and CEO of InfoHighway. InfoHighway was acquired by Broadview Networks in 2007. Mr. Martynek earned a Bachelor of Arts in Political Science from Binghamton University and received a Master Degree in International Affairs from Columbia University School of International and Public Affairs.

Agentic and Gen AI
Enterprise Use Case

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

As AI workloads continue to grow in complexity and scale, improving energy efficiency has become a

critical design objective from Silicon to Systems. This tutorial explores a holistic approach to optimizing

performance per watt across the entire hardware/software stack.

Compute
Gen AI

Author:

Godwin Maben

Fellow
Synopsys

Godwin Maben is a seasoned professional with an extensive 30-year experience in the semiconductor industry, specializing in low-power design and power optimization for System on Chip (SoC) architectures. Godwin has contributed to the development of SoCs for mobile, IoT, GPU, and networking applications, focusing on ARM and RISC-V based designs.

Godwin has a proven track record in developing the architecture of Power Management Integrated Circuits (PMIC) for mobile and IoT devices, and architecting mobile SoCs with advanced power structures, including power gating, Dynamic Voltage and Frequency Scaling (DVFS), and Multi-Voltage (MV) techniques.

In addition to optimizing logic, system, and RTL architectures to reduce power for hundreds of blocks, Godwin has extensive experience in RTL coding, specifically targeting energy efficiency for hundreds of partitions. Skilled in developing custom cells to minimize glitches and has implemented algorithms within tools to optimize power consumption.

Godwin has developed comprehensive methodologies for implementing zero-pin retention flops from pre-RTL to silicon and has architected tools such as UPF Architect. Additionally, has created higher-level abstractions to Natural Language Processing (NLP) for various tools, including HDL, SDC, and UPF.

With expertise in designing low-power circuits and HDL coding with a focus on low power, Godwin excels in power architecture, PMIC design, and debugging power issues from simulation through emulation, synthesis, place, and route (P&R), and Engineering Change Order (ECO) processes. Dedicated to advancing low-power design techniques and methodologies, ensuring the development of energy-efficient and high-performance semiconductor solutions.

 

Godwin Maben

Fellow
Synopsys

Godwin Maben is a seasoned professional with an extensive 30-year experience in the semiconductor industry, specializing in low-power design and power optimization for System on Chip (SoC) architectures. Godwin has contributed to the development of SoCs for mobile, IoT, GPU, and networking applications, focusing on ARM and RISC-V based designs.

Godwin has a proven track record in developing the architecture of Power Management Integrated Circuits (PMIC) for mobile and IoT devices, and architecting mobile SoCs with advanced power structures, including power gating, Dynamic Voltage and Frequency Scaling (DVFS), and Multi-Voltage (MV) techniques.

In addition to optimizing logic, system, and RTL architectures to reduce power for hundreds of blocks, Godwin has extensive experience in RTL coding, specifically targeting energy efficiency for hundreds of partitions. Skilled in developing custom cells to minimize glitches and has implemented algorithms within tools to optimize power consumption.

Godwin has developed comprehensive methodologies for implementing zero-pin retention flops from pre-RTL to silicon and has architected tools such as UPF Architect. Additionally, has created higher-level abstractions to Natural Language Processing (NLP) for various tools, including HDL, SDC, and UPF.

With expertise in designing low-power circuits and HDL coding with a focus on low power, Godwin excels in power architecture, PMIC design, and debugging power issues from simulation through emulation, synthesis, place, and route (P&R), and Engineering Change Order (ECO) processes. Dedicated to advancing low-power design techniques and methodologies, ensuring the development of energy-efficient and high-performance semiconductor solutions.

 

Author:

Richard Ho

Head of Hardware
OpenAI

Richard Ho is Head of Hardware at OpenAI working to co-optimize ML models and the massive compute hardware they run on. Richard was one of the early engineers working on Google TPUs. Before Google, Richard was part of the D. E. Shaw Research team that built the Anton molecular dynamics simulation supercomputer. Richard started his career as co-founder and Chief Architect of 0-In Design Automation, a pioneer in verification tools for chip design (acquired by Mentor Graphics/Siemens). Richard has a Ph.D. in Computer Science from Stanford University and M.Eng, B.Sc. from University of Manchester, UK.

Richard Ho

Head of Hardware
OpenAI

Richard Ho is Head of Hardware at OpenAI working to co-optimize ML models and the massive compute hardware they run on. Richard was one of the early engineers working on Google TPUs. Before Google, Richard was part of the D. E. Shaw Research team that built the Anton molecular dynamics simulation supercomputer. Richard started his career as co-founder and Chief Architect of 0-In Design Automation, a pioneer in verification tools for chip design (acquired by Mentor Graphics/Siemens). Richard has a Ph.D. in Computer Science from Stanford University and M.Eng, B.Sc. from University of Manchester, UK.

Industrial Edge
On-Device ML
Enterprise Use Case

Author:

AK Karan

VP, Advanced Engineering & Innovation
Baxter International

A.K. Karan is the VP of advanced engineering & innovation at Baxter International, a leading medical device supplier. Karan joined Baxter in 2021 and currently leads the strategy for the company’s automation, digital-transformation, and operational-excellence processes. Prior to joining Baxter, Karan held a variety of leadership roles spanning engineering, operations and digital transformation.    

AK Karan

VP, Advanced Engineering & Innovation
Baxter International

A.K. Karan is the VP of advanced engineering & innovation at Baxter International, a leading medical device supplier. Karan joined Baxter in 2021 and currently leads the strategy for the company’s automation, digital-transformation, and operational-excellence processes. Prior to joining Baxter, Karan held a variety of leadership roles spanning engineering, operations and digital transformation.    

Agentic and Gen AI
Enterprise Use Case

Author:

Donald Thompson

Distinguished Engineer
LinkedIn

Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

Donald Thompson

Distinguished Engineer
LinkedIn

Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.