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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.

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.

Author:

Mark Kidd

EVP & GM, Data Centers & Asset Lifecycle Management
Iron Mountain

Mark Kidd is an executive vice president and general manager of the Iron Mountain Data Centers and Asset Lifecycle Management (ALM) business units. Mark has led the data center organization since its inception in 2013 and additionally took over the ALM organization in early 2023. Mark is responsible for driving growth across the data centers and ALM platforms, including setting strategic direction, leading commercial efforts, and developing expansion opportunities. Prior to his current role, Mark was senior vice president of Enterprise Strategy where he worked alongside the executive team to shape the overall company strategy, directed various internal consulting projects to enhance business unit planning, and managed the Office of the CEO. Over his 19-year tenure with Iron Mountain, Mark has held four additional positions in strategic planning, portfolio management, capital investments, and financial analysis. Prior to joining Iron Mountain, Mark worked at Thomas Weisel Partners, a boutique investment banking firm. Mark graduated with his A.B. in economics from Harvard University.

Mark Kidd

EVP & GM, Data Centers & Asset Lifecycle Management
Iron Mountain

Mark Kidd is an executive vice president and general manager of the Iron Mountain Data Centers and Asset Lifecycle Management (ALM) business units. Mark has led the data center organization since its inception in 2013 and additionally took over the ALM organization in early 2023. Mark is responsible for driving growth across the data centers and ALM platforms, including setting strategic direction, leading commercial efforts, and developing expansion opportunities. Prior to his current role, Mark was senior vice president of Enterprise Strategy where he worked alongside the executive team to shape the overall company strategy, directed various internal consulting projects to enhance business unit planning, and managed the Office of the CEO. Over his 19-year tenure with Iron Mountain, Mark has held four additional positions in strategic planning, portfolio management, capital investments, and financial analysis. Prior to joining Iron Mountain, Mark worked at Thomas Weisel Partners, a boutique investment banking firm. Mark graduated with his A.B. in economics from Harvard University.

Author:

Chris Crosby

CEO
Compass Data Centers

After years of working at the intersection of tech and real estate development, Chris Crosby set out in 2011 to take a new approach to data center development. His vision was to focus on greenfield projects and deliver customizable, scalable, sustainable, and low-cost data centers in an expedited time frame.

A testament to Chris’ bold vision and a solid culture centered around four core convictions from which the company has never wavered, Compass has grown at a remarkable rate. From completing its first 1.2 MW data center in 2012 to serving the campus-level hyperscale market with developments underway across the globe less than a decade later, Compass’s success is the result of Chris’ vision, a strong foundation, and a talented team of innovative thinkers.    

In 2023, Compass was recognized as one of Inc. Magazine’s 5000 fastest-growing companies. In the same year, Chris was named EY’s southwest area Entrepreneur of The Year®. Compass continues to drive industry-leading sustainability practices under Chris’ leadership, creating a lasting impact on the data center industry. 

Chris Crosby

CEO
Compass Data Centers

After years of working at the intersection of tech and real estate development, Chris Crosby set out in 2011 to take a new approach to data center development. His vision was to focus on greenfield projects and deliver customizable, scalable, sustainable, and low-cost data centers in an expedited time frame.

A testament to Chris’ bold vision and a solid culture centered around four core convictions from which the company has never wavered, Compass has grown at a remarkable rate. From completing its first 1.2 MW data center in 2012 to serving the campus-level hyperscale market with developments underway across the globe less than a decade later, Compass’s success is the result of Chris’ vision, a strong foundation, and a talented team of innovative thinkers.    

In 2023, Compass was recognized as one of Inc. Magazine’s 5000 fastest-growing companies. In the same year, Chris was named EY’s southwest area Entrepreneur of The Year®. Compass continues to drive industry-leading sustainability practices under Chris’ leadership, creating a lasting impact on the data center industry. 

Author:

Laura Ortman

CEO
Cologix

Laura was appointed Chief Executive Officer of Cologix in 2022 after serving as the company’s President and Chief Revenue Officer since 2018. Laura has over 25 years of experience in cloud and technology global leadership focused on GTM strategy, revenue growth, global customer success, sales and account management, and revenue and client relationship management.  Laura was EVP and Chief Customer Officer at Equinix, and prior she spent nine years at VMware, overseeing the Cloud Services business as co-General Manager and Vice President. Laura held global IT and technical support teams for Jeppesen, a Boeing Company, and served various technical and global leadership positions at Lockheed Martin.  Laura is also on the board of Digital Edge DC. Laura holds an MBA in Information Systems from Regis University and a Bachelor of Science in Business Administration (BSBA) in Marketing from the University of Alabama in Huntsville, where she played collegiate tennis.

Laura Ortman

CEO
Cologix

Laura was appointed Chief Executive Officer of Cologix in 2022 after serving as the company’s President and Chief Revenue Officer since 2018. Laura has over 25 years of experience in cloud and technology global leadership focused on GTM strategy, revenue growth, global customer success, sales and account management, and revenue and client relationship management.  Laura was EVP and Chief Customer Officer at Equinix, and prior she spent nine years at VMware, overseeing the Cloud Services business as co-General Manager and Vice President. Laura held global IT and technical support teams for Jeppesen, a Boeing Company, and served various technical and global leadership positions at Lockheed Martin.  Laura is also on the board of Digital Edge DC. Laura holds an MBA in Information Systems from Regis University and a Bachelor of Science in Business Administration (BSBA) in Marketing from the University of Alabama in Huntsville, where she played collegiate tennis.