[EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK]: Efficiency Considerations for Optimised Generative AI Infrastructure Requirements in Enterprises : What is the Roadmap? | Kisaco Research
Session Topics: 
Hardware
Infrastructure
Speaker(s): 

Author:

Rashmi Gopinath

General Partner
B Capital

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
B Capital

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:

Gaia Bellone

Chief Data Scientist
Prudential Financial

Gaia is a dynamic and accomplished leader in the field of Data Science and Artificial Intelligence. In her current role at Prudential Financial, she leads Global Data and AI Governance and serves as Chief Data Officer (CDO) for Emerging Markets.

Her contributions to Prudential Financial have been significant and impactful. As the former Chief Data Scientist at Prudential, she led the Data Science team in creating innovative solutions for Digital, Marketing, Sales, and Distribution, the AI/ML Platform team, and the GenAI Enterprise Program. Her leadership and strategic vision have been instrumental in driving business growth and enhancing operational efficiency.

Prior to her tenure at Prudential, she held prominent positions at Key Bank and JPMorgan Chase. At Key Bank, she served as the Head of Data Science for the Community Bank. Her leadership and expertise in data science were crucial in optimizing the bank's operations and improving customer experience. At JPMorgan Chase, she led the data science teams for Home Lending and Auto Finance. Her strategic insights and data-driven solutions significantly improved the business performance in these sectors, contributing to the overall success of the enterprise.

Throughout her career, she has consistently demonstrated her ability to leverage data and AI to drive business growth and improve operational efficiency. Her contributions to the businesses and the enterprise have been substantial and transformative.

Gaia Bellone

Chief Data Scientist
Prudential Financial

Gaia is a dynamic and accomplished leader in the field of Data Science and Artificial Intelligence. In her current role at Prudential Financial, she leads Global Data and AI Governance and serves as Chief Data Officer (CDO) for Emerging Markets.

Her contributions to Prudential Financial have been significant and impactful. As the former Chief Data Scientist at Prudential, she led the Data Science team in creating innovative solutions for Digital, Marketing, Sales, and Distribution, the AI/ML Platform team, and the GenAI Enterprise Program. Her leadership and strategic vision have been instrumental in driving business growth and enhancing operational efficiency.

Prior to her tenure at Prudential, she held prominent positions at Key Bank and JPMorgan Chase. At Key Bank, she served as the Head of Data Science for the Community Bank. Her leadership and expertise in data science were crucial in optimizing the bank's operations and improving customer experience. At JPMorgan Chase, she led the data science teams for Home Lending and Auto Finance. Her strategic insights and data-driven solutions significantly improved the business performance in these sectors, contributing to the overall success of the enterprise.

Throughout her career, she has consistently demonstrated her ability to leverage data and AI to drive business growth and improve operational efficiency. Her contributions to the businesses and the enterprise have been substantial and transformative.

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.