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Data
MLOps
Data Scientist

Author:

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Author:

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.

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.

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.

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.

Data
Ethics
Data Scientist

Author:

Stavros Zervoudakis

Professor at NYU, and VP of AI
Mutual of America

With over two decades of experience, Stavros Zervoudakis has established himself as a forward-thinking AI leader, sculpting the future with innovative solutions. He boasts an impressive track record, having orchestrated the successful launch of 24 AI initiatives in just three years, including the implementation of a comprehensive Data Science, Analytics, and Machine Learning framework. His work has catalyzed monumental gains, with single projects injecting between $12M and $56M in value.   Recently, Stavros has architected and deployed a groundbreaking, modular Generative AI platform, enriching the digital ecosystem with four pioneering GenAI products seamlessly integrated across six input/output systems. At the helm of his company's AI voyage, he not only crafted the strategic blueprint but also executed the firm's inaugural AI/ML model in a mere three months, netting an impressive $450K in savings.   A natural leader, Stavros has guided teams towards the creation of business-transforming applications, leveraging the latest in technology through agile, SME-centric project methodologies. His tenure as an academic luminary at NYU and the University of Exeter has allowed him to disseminate his profound AI insights, nurturing the next wave of innovation.   His journey with agile startups and industry titans like Citigroup, led him to deep-rooted understanding of regulatory mandates and has empowered him to weave essential privacy and security measures into his strategic visions, product leadership, and advisory roles, benefiting startups and Fortune 500 firms.   Beyond the digital realm, Stavros is a connoisseur of photography, an avid reader, a globetrotter, and a passionate creator of a future Einstein. Connect with him on LinkedIn to explore common interests.

Stavros Zervoudakis

Professor at NYU, and VP of AI
Mutual of America

With over two decades of experience, Stavros Zervoudakis has established himself as a forward-thinking AI leader, sculpting the future with innovative solutions. He boasts an impressive track record, having orchestrated the successful launch of 24 AI initiatives in just three years, including the implementation of a comprehensive Data Science, Analytics, and Machine Learning framework. His work has catalyzed monumental gains, with single projects injecting between $12M and $56M in value.   Recently, Stavros has architected and deployed a groundbreaking, modular Generative AI platform, enriching the digital ecosystem with four pioneering GenAI products seamlessly integrated across six input/output systems. At the helm of his company's AI voyage, he not only crafted the strategic blueprint but also executed the firm's inaugural AI/ML model in a mere three months, netting an impressive $450K in savings.   A natural leader, Stavros has guided teams towards the creation of business-transforming applications, leveraging the latest in technology through agile, SME-centric project methodologies. His tenure as an academic luminary at NYU and the University of Exeter has allowed him to disseminate his profound AI insights, nurturing the next wave of innovation.   His journey with agile startups and industry titans like Citigroup, led him to deep-rooted understanding of regulatory mandates and has empowered him to weave essential privacy and security measures into his strategic visions, product leadership, and advisory roles, benefiting startups and Fortune 500 firms.   Beyond the digital realm, Stavros is a connoisseur of photography, an avid reader, a globetrotter, and a passionate creator of a future Einstein. Connect with him on LinkedIn to explore common interests.

Author:

Melissa Harup

SVP and Chief Counsel
Mondelez International

Melissa Harup

SVP and Chief Counsel
Mondelez International

Author:

John Almasan

Senior Managing Director, Head of AI & Emerging Tech
TIAA

Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale data, AI, and cloud platforms for prominent companies such as TIAA, McKinsey & Co., American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption.

As an adjunct professor at various universities and a member of Arizona State University's Executive Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field.

John holds two master's degrees in Engineering and Statistics, a Doctor of Business Administration, and has over 20+ patents credited to his name. He has received several awards throughout his career for his contributions to the technology industry.

John Almasan

Senior Managing Director, Head of AI & Emerging Tech
TIAA

Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale data, AI, and cloud platforms for prominent companies such as TIAA, McKinsey & Co., American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption.

As an adjunct professor at various universities and a member of Arizona State University's Executive Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field.

John holds two master's degrees in Engineering and Statistics, a Doctor of Business Administration, and has over 20+ patents credited to his name. He has received several awards throughout his career for his contributions to the technology industry.

Risk Mitigation
Use cases
Business Leader

Author:

Jeff Herbst

Founding Managing Partner
GFT Ventures

Jeff Herbst is Co-Founding Managing Partner of GFT Ventures, an early stage AI-focused venture capital fund with approximate $140M in assets under management.  He brings to the fund over three decades of venture capital, operational, business development and M&A experience. Prior to launching GFT, Jeff spent 20 years as NVIDIA's Vice President of Business Development where he built an ecosystem of accelerated computing applications spanning the domains of AI, Data Science, Autonomous Machines, and Graphics and Visualization. During his tenure at the company, among other things he created the Nvidia GPU Ventures program, overseeing more than 40 global investments and 20 acquisitions valued over $8B. He also led the Nvidia Inception global startup accelerator, now comprised of more than 10,000 AI, Data Science and High Performance computing companies.

Jeff Herbst

Founding Managing Partner
GFT Ventures

Jeff Herbst is Co-Founding Managing Partner of GFT Ventures, an early stage AI-focused venture capital fund with approximate $140M in assets under management.  He brings to the fund over three decades of venture capital, operational, business development and M&A experience. Prior to launching GFT, Jeff spent 20 years as NVIDIA's Vice President of Business Development where he built an ecosystem of accelerated computing applications spanning the domains of AI, Data Science, Autonomous Machines, and Graphics and Visualization. During his tenure at the company, among other things he created the Nvidia GPU Ventures program, overseeing more than 40 global investments and 20 acquisitions valued over $8B. He also led the Nvidia Inception global startup accelerator, now comprised of more than 10,000 AI, Data Science and High Performance computing companies.

Author:

Gautam Hotti

Director of Generative AI
Novartis

Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.

Gautam Hotti

Director of Generative AI
Novartis

Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.

Author:

Mike Shirazi

General Partner
Pursuit Ventures

Mike Shirazi

General Partner
Pursuit Ventures

With vast amounts of data at our fingertips, generative AI offers transformative solutions for businesses. From automating content creation to crafting sophisticated data models, we'll spotlight the key applications of AI that are reshaping the enterprise landscape in this data-rich era.

Use cases
Innovation
Keynote

Author:

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America
Ethics
Use cases
Keynote

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.