Investors | Kisaco Research

Investors

Enterprise Generative AI Summit
23-24 January, 2024
Florida, USA

Why should Investors attend the Enterprise Generative AI Summit?

  • Keep up to speed with enterprise generative AI developments and deployments from a cross-industry selection of generative AI leaders and hyperscalers.
  • Meet and network with the most innovative generative AI startups, model builders.

If you'd like to find out more information about attending as an AI vendors, register your interest here.

CONFIRM YOUR PLACE HERE

Featured Speakers Include

 

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America
 

Sol Rashidi

Former CDO/CAO of Estee Lauder, Merck Pharmaceuticals, Sony Music, and RCCL
Estée Lauder

Sol Rashidi

Former CDO/CAO of Estee Lauder, Merck Pharmaceuticals, Sony Music, and RCCL
Estée Lauder

Sol Rashidi

Former CDO/CAO of Estee Lauder, Merck Pharmaceuticals, Sony Music, and RCCL
Estée Lauder
 

Saeed Contractor

Global Head of Automated Intelligence
Uber

Saeed Contractor is the Global Head of the Intelligent Automation COE, Tech at Uber. He leads the Intelligent Automation COE at Uber for Technology / Architecture, Strategy and Implementation. Recognized as a hands-on leader of software Architecture and Development, Saeed brings together new Technologies, Engineering, Business Processes and Mathematics to provide innovative and effective solutions to difficult problems.

Saeed Contractor

Global Head of Automated Intelligence
Uber

Saeed Contractor

Global Head of Automated Intelligence
Uber

Saeed Contractor is the Global Head of the Intelligent Automation COE, Tech at Uber. He leads the Intelligent Automation COE at Uber for Technology / Architecture, Strategy and Implementation. Recognized as a hands-on leader of software Architecture and Development, Saeed brings together new Technologies, Engineering, Business Processes and Mathematics to provide innovative and effective solutions to difficult problems. He has a strong customer focus and drives the Agile development of secure, scalable, reliable and highly available products with due consideration of negative paths and incorporating feedback from all stages of the product life cycle. Saeed has a Master of Engineering Degree from Princeton University and an MBA from UCF.

 

Hemant Jain

Senior Software Engineer, Inference
Cohere

Hemant works on efficiently fine-tuning and serving LLMs as a part of the Platform team at Cohere. Prior to this, he spent 3 years at NVIDIA developing Triton Inference Server, an open-source solution used to deploy machine learning models into production. He has a Masters in Data Science from the University of Washington.

Hemant Jain

Senior Software Engineer, Inference
Cohere

Hemant Jain

Senior Software Engineer, Inference
Cohere

Hemant works on efficiently fine-tuning and serving LLMs as a part of the Platform team at Cohere. Prior to this, he spent 3 years at NVIDIA developing Triton Inference Server, an open-source solution used to deploy machine learning models into production. He has a Masters in Data Science from the University of Washington.

Agenda highlights


KEYNOTE: The fundamentals of successfully deploying generative ai models in enterprise: a framework first approach

Keynote

Author:

Sol Rashidi

Former CDO/CAO of Estee Lauder, Merck Pharmaceuticals, Sony Music, and RCCL
Estée Lauder

Sol Rashidi

Former CDO/CAO of Estee Lauder, Merck Pharmaceuticals, Sony Music, and RCCL
Estée Lauder

[BUSINESS LEADER TRACK] PANEL: Pre-Training and Finetuning: how to train LLMs in an efficient, effective, and affordable manner

Author:

Saeed Contractor

Global Head of Automated Intelligence
Uber

Saeed Contractor is the Global Head of the Intelligent Automation COE, Tech at Uber. He leads the Intelligent Automation COE at Uber for Technology / Architecture, Strategy and Implementation. Recognized as a hands-on leader of software Architecture and Development, Saeed brings together new Technologies, Engineering, Business Processes and Mathematics to provide innovative and effective solutions to difficult problems. He has a strong customer focus and drives the Agile development of secure, scalable, reliable and highly available products with due consideration of negative paths and incorporating feedback from all stages of the product life cycle. Saeed has a Master of Engineering Degree from Princeton University and an MBA from UCF.

Saeed Contractor

Global Head of Automated Intelligence
Uber

Saeed Contractor is the Global Head of the Intelligent Automation COE, Tech at Uber. He leads the Intelligent Automation COE at Uber for Technology / Architecture, Strategy and Implementation. Recognized as a hands-on leader of software Architecture and Development, Saeed brings together new Technologies, Engineering, Business Processes and Mathematics to provide innovative and effective solutions to difficult problems. He has a strong customer focus and drives the Agile development of secure, scalable, reliable and highly available products with due consideration of negative paths and incorporating feedback from all stages of the product life cycle. Saeed has a Master of Engineering Degree from Princeton University and an MBA from UCF.

Author:

Shreesha Jagadeesh

Associate Director of Applied Machine Learning
BestBuy

Shreesha Jagadeesh is an Associate Director of Machine Learning at Best Buy. He leads a multi-national team of ML Scientists and Engineers building models that power the online customer journey through personalized recommendations and ads. He leverages his expertise in Multi-Stage Recommender Systems, LLMs, Embeddings, Multi-Arm Bandits, Offline Policy Evaluation and A/B testing to help digital teams to personalize the experiences deepening customer relationship & driving ecommerce revenue for Best Buy.

 

Prior to Best Buy, he has worked in a variety of corporate and consulting roles including at Amazon, EY and Cisco building Data Science models in a diverse set of domains spanning HR, Tax, Legal and Supply Chain. Outside of his day job, he advises early-stage startup, reviews pre-publication books/courses and has also published 2 online Data Science courses. He lives in Boston with his wife and enjoys travelling to exotic locations with an Antarctica expedition coming up in December 2024.

Shreesha Jagadeesh

Associate Director of Applied Machine Learning
BestBuy

Shreesha Jagadeesh is an Associate Director of Machine Learning at Best Buy. He leads a multi-national team of ML Scientists and Engineers building models that power the online customer journey through personalized recommendations and ads. He leverages his expertise in Multi-Stage Recommender Systems, LLMs, Embeddings, Multi-Arm Bandits, Offline Policy Evaluation and A/B testing to help digital teams to personalize the experiences deepening customer relationship & driving ecommerce revenue for Best Buy.

 

Prior to Best Buy, he has worked in a variety of corporate and consulting roles including at Amazon, EY and Cisco building Data Science models in a diverse set of domains spanning HR, Tax, Legal and Supply Chain. Outside of his day job, he advises early-stage startup, reviews pre-publication books/courses and has also published 2 online Data Science courses. He lives in Boston with his wife and enjoys travelling to exotic locations with an Antarctica expedition coming up in December 2024.

Author:

Stavros Zervoudakis

Vice President of Artificial Intelligence
Mutual Financial

Stavros Zervoudakis

Vice President of Artificial Intelligence
Mutual Financial

Author:

Hemant Jain

Senior Software Engineer, Inference
Cohere

Hemant works on efficiently fine-tuning and serving LLMs as a part of the Platform team at Cohere. Prior to this, he spent 3 years at NVIDIA developing Triton Inference Server, an open-source solution used to deploy machine learning models into production. He has a Masters in Data Science from the University of Washington.

Hemant Jain

Senior Software Engineer, Inference
Cohere

Hemant works on efficiently fine-tuning and serving LLMs as a part of the Platform team at Cohere. Prior to this, he spent 3 years at NVIDIA developing Triton Inference Server, an open-source solution used to deploy machine learning models into production. He has a Masters in Data Science from the University of Washington.

KEYNOTE: The art of the possible vs the art of the practical

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.

Keynote

Author:

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Other events you might be interested in:

Efficient Generative AI Summit