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Learn how predictive simulations, generative AI and differentiating clinical biomarkers are forecasted to cut prototyping timelines by weeks and reduce per‑trial costs.

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Author:

Gregory Goldmacher

Assistant Vice President, Clinical Research, Head, Imaging
Merck

Gregory Goldmacher

Assistant Vice President, Clinical Research, Head, Imaging
Merck

Author:

Hitesh Seth

Chief Architect, Financial Services and Insurance
Salesforce

At Salesforce, Hitesh is responsible for the end-to-end architecture of platforms delivered to financial services and insurance clients globally. His focus is on working with key strategic customers to align Salesforce implementations with their business goals, particularly around the conjunction of Data+AI and CRM. This involves collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets to influence product roadmaps and shape the future of technology in these industries. A significant part of Hitesh's role includes facilitating discussions with CTOs, CIOs, CDOs, and Chief Architects to: •⁠ ⁠Analyze current architectures and design target states. •⁠ ⁠Optimize Salesforce technologies for customer needs. •⁠ ⁠Integrate and Interoperate with Salesforce platforms within broader ecosystems. Being the executive sponsors for the customers, I play a key role in influencing product development within Salesforce by advocating for customer-driven innovations. 

Hitesh oversees end-to-end platform and solution architecture for global financial services and insurance clients. He specializes in aligning Salesforce solutions with strategic business objectives, particularly at the intersection of Data+AI and CRM. By collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets, Hitesh helps influence product roadmaps and shape the future of technology in these industries.

A key part of his role involves engaging CTOs, CIOs, CDOs, and Chief Architects to analyze current architectures, design target states, and optimize Salesforce within broader ecosystems. As an executive sponsor, Hitesh champions customer-driven innovation, ensuring product development meets evolving industry needs.

 

Hitesh Seth

Chief Architect, Financial Services and Insurance
Salesforce

At Salesforce, Hitesh is responsible for the end-to-end architecture of platforms delivered to financial services and insurance clients globally. His focus is on working with key strategic customers to align Salesforce implementations with their business goals, particularly around the conjunction of Data+AI and CRM. This involves collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets to influence product roadmaps and shape the future of technology in these industries. A significant part of Hitesh's role includes facilitating discussions with CTOs, CIOs, CDOs, and Chief Architects to: •⁠ ⁠Analyze current architectures and design target states. •⁠ ⁠Optimize Salesforce technologies for customer needs. •⁠ ⁠Integrate and Interoperate with Salesforce platforms within broader ecosystems. Being the executive sponsors for the customers, I play a key role in influencing product development within Salesforce by advocating for customer-driven innovations. 

Hitesh oversees end-to-end platform and solution architecture for global financial services and insurance clients. He specializes in aligning Salesforce solutions with strategic business objectives, particularly at the intersection of Data+AI and CRM. By collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets, Hitesh helps influence product roadmaps and shape the future of technology in these industries.

A key part of his role involves engaging CTOs, CIOs, CDOs, and Chief Architects to analyze current architectures, design target states, and optimize Salesforce within broader ecosystems. As an executive sponsor, Hitesh champions customer-driven innovation, ensuring product development meets evolving industry needs.

 

Author:

Sandeep Menon

Chief Development Officer
Alnylam

Sandeep Menon

Chief Development Officer
Alnylam

Learn how  GenAI is transforming early drug discovery by designing novel, drug-like small molecules with improved potency, selectivity, and ADME properties.
Explore how GenAI integrates with synthesis planning and automation tools to prioritize viable candidates and accelerate iterative drug development.

Moderator

Author:

Jason Shields

Associate Principal Scientist
AstraZeneca

Jason Shields

Associate Principal Scientist
AstraZeneca

Author:

Christopher D. Taylor

Director of Applied Sciences
Promethium (QC Ware Corp.)

Christopher D. Taylor is Director of Applied Sciences at Promethium (QC Ware Corp.), bringing over 25 years of expertise in density functional theory (DFT). He works with drug discovery teams to bridge AI and quantum chemistry, guiding the deployment of DFT-based rational drug design and descriptor-driven frameworks for drug discovery. Throughout his career, Christopher has used DFT to solve problems once considered unsolvable, and he now highlights how high-quality quantum mechanical data, when used to train AI models, delivers significant gains in accuracy and insight. By translating complex scientific challenges into scalable workflows, he helps accelerate both small molecule and macromolecule design with quantum-level precision.

Christopher D. Taylor

Director of Applied Sciences
Promethium (QC Ware Corp.)

Christopher D. Taylor is Director of Applied Sciences at Promethium (QC Ware Corp.), bringing over 25 years of expertise in density functional theory (DFT). He works with drug discovery teams to bridge AI and quantum chemistry, guiding the deployment of DFT-based rational drug design and descriptor-driven frameworks for drug discovery. Throughout his career, Christopher has used DFT to solve problems once considered unsolvable, and he now highlights how high-quality quantum mechanical data, when used to train AI models, delivers significant gains in accuracy and insight. By translating complex scientific challenges into scalable workflows, he helps accelerate both small molecule and macromolecule design with quantum-level precision.

Author:

Philip Tagari

Chief Scientific Officer
Insitro

Philip Tagari

Chief Scientific Officer
Insitro

Author:

Yue-Wang Webster

Vice President, Model Driven Drug Discovery Platforms
Eli Lilly

Yue-Wang Webster

Vice President, Model Driven Drug Discovery Platforms
Eli Lilly

Discuss how AI is used to identify pathological features, discover drug targets, and decode complex disease biology at a systems level.

Author:

Ari Allyn-Feuer

Director, AI Intelligence Product
GSK

Ari Allyn-Feuer

Director, AI Intelligence Product
GSK

Author:

Arvind Rao

Associate Professor, Computational Medicine & Bioinformatics
University of Michigan

Arvind Rao

Associate Professor, Computational Medicine & Bioinformatics
University of Michigan
 

Barry Cooks

VP, Compute Abstractions
AWS

 

Barry Cooks

VP, Compute Abstractions
AWS

Barry Cooks

VP, Compute Abstractions
AWS

 

Barry Cooks is a global enterprise technology veteran with 25 years of experience leading teams in cloud computing, hardware design, application microservices, artificial intelligence, and more. As Vice President of Technology at Amazon, he is responsible for compute abstractions (containers, serverless, VMware, micro-VMs), quantum experimentation, high performance computing, and AI training. He oversees key AWS services including AWS Lambda, Amazon Elastic Container Service, Amazon Elastic Kubernetes Service, and Amazon SageMaker. Barry also leads responsible AI initiatives across AWS, promoting the safe and ethical development of AI as a force for good. Prior to joining Amazon in 2022, Barry served as CTO at DigitalOcean, where he guided the organization through its successful IPO. His career also includes leadership roles at VMware and Sun Microsystems. Barry holds a BS in Computer Science from Purdue University and an MS in Computer Science from the University of Oregon.

 

Production Animal Innovation Showcase

Production Animal Innovation Showcase

Production Animal Innovation Showcase