| Page 354 | Kisaco Research

Author:

Prasad Saripalli

Distinguished Engineer
Capital One

Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

... read more

Prasad Saripalli

Distinguished Engineer
Capital One

Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

Author:

Saket Agarwal

Senior Director and Head of Engineering
Uber

Saket Agarwal is a seasoned product and engineering leader with nearly 20 years of experience across top-tier technology companies. Currently, as the Senior Director and Head of Engineering at Uber, he manages a team of full-stack software and machine learning engineers/scientists, overseeing the development of customer support & engagement platforms. His work at Uber involves leading a global team to deliver innovative AI-driven solutions that enhance customer interactions across diverse user groups, while partnering across teams at Uber to shape the vision in AI/ML.

Before joining Uber, Saket played a pivotal role at Amazon Web Services (AWS) as the Director of Software Engineering, where he led teams of over 200 engineers in creating Amazon Connect, a cutting-edge AI-powered contact center solution. His career also includes significant contributions to Amazon's Alexa conversational intelligence platform, Adobe's Correspondence Management solution, D. E. Shaw & Co., and IBM, where he honed his expertise in software development, digital customer engagement products, and AI applications. Saket’s leadership style is rooted in humility, technical excellence, and a relentless drive for operational efficiency, making him a key figure in the AI and customer service technology landscape.

... read more

Saket Agarwal

Senior Director and Head of Engineering
Uber

Saket Agarwal is a seasoned product and engineering leader with nearly 20 years of experience across top-tier technology companies. Currently, as the Senior Director and Head of Engineering at Uber, he manages a team of full-stack software and machine learning engineers/scientists, overseeing the development of customer support & engagement platforms. His work at Uber involves leading a global team to deliver innovative AI-driven solutions that enhance customer interactions across diverse user groups, while partnering across teams at Uber to shape the vision in AI/ML.

Before joining Uber, Saket played a pivotal role at Amazon Web Services (AWS) as the Director of Software Engineering, where he led teams of over 200 engineers in creating Amazon Connect, a cutting-edge AI-powered contact center solution. His career also includes significant contributions to Amazon's Alexa conversational intelligence platform, Adobe's Correspondence Management solution, D. E. Shaw & Co., and IBM, where he honed his expertise in software development, digital customer engagement products, and AI applications. Saket’s leadership style is rooted in humility, technical excellence, and a relentless drive for operational efficiency, making him a key figure in the AI and customer service technology landscape.

Author:

Arun Nandi

Senior Director and Head of Data & Analytics
Unilever

Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.

... read more

Arun Nandi

Senior Director and Head of Data & Analytics
Unilever

Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.

The journey from taking a foundation model (FM) from experimentation to production is filled with choices, decisions, and pitfalls that can increase undifferentiated heavylifting and delay time-to-market. In this session, learn how purpose built capabilities in Amazon SageMaker can help ML practitioners pre-train, evaluate, and fine-tune FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost. Join us to learn how to simplify the generative AI journey, follow best practices, save time and cost, and shorten time-to-market.

Author:

Ankur Mehrotra

Director and GM, Amazon SageMaker
AWS

Ankur is a GM at AWS Machine Learning and leads foundational SageMaker services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

... read more

Ankur Mehrotra

Director and GM, Amazon SageMaker
AWS

Ankur is a GM at AWS Machine Learning and leads foundational SageMaker services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.

Innovation Showcase Applicant Pack - Animal Health USA 2024