[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:

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:

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:

Alex Pham

GM, Chief Architect, Head of Data Infrastructure and AI Platforms
Toyota North America

Alex Pham

GM, Chief Architect, Head of Data Infrastructure and AI Platforms
Toyota North America

Author:

Michael Stewart

Partner
M12

Michael Stewart

Partner
M12