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Seth Dobrin

Dr. Seth Dobrin, a distinguished leader in artificial intelligence (AI), is the founder and CEO of Qantm AI.

With over 20 years of experience, Dr. Dobrin’s innovations include his role as IBM’s inaugural Global Chief AI Officer, bringing a human-centered approach to AI strategies in complex business landscapes.

As Chief Data Officer at IBM’s Software Group, he championed business modernization through data-driven insights. Dr. Dobrin is a respected advocate for responsible and inclusive AI, earning accolades like AIConics Innovator of the Year and recognition among the Top 10 Most Influential Chief AI Officers in 2023.

Holding a Doctorate in Molecular and Cellular Biology, his multidisciplinary approach guides his work at the intersection of AI, data, and business transformation.

He’s a champion of diversity in tech, speaking at conferences and industry events and featured in tier-one media outlets like BBC, Forbes, and more. Despite his life sciences background, Dr. Dobrin has gained experience across multiple industries.

Olivia Zhu

Olivia Zhu is the Assistant Director for AI Policy at the White House Office of Science and Technology Policy, where she works on promoting the safe and trustworthy use of AI, including through the recent AI Executive Order.

Prior to working on AI policy for the Biden-Harris Administration, she worked at technology companies, including Amazon and Microsoft Research, building AI products.

She has overseen over 10 launches of AI products across problem spaces ranging from search ranking to sales to pricing products.

Krista Kinnard

Krista Kinnard currently serves as the Culture & Communications Lead for NASA Digital Transformation. In her role, she shepherds the refinement and integration of NASA’s digital transformation strategy, plans and policies and helps coordinate the implementation of transformation activities across the NASA enterprise in a number of strategic areas including data, inclusive teaming, intelligent automation, artificial intelligence/machine learning, process transformation, and culture and workforce.

Prior to joining NASA, Krista served as the Director of Innovation and Engineering at the Department of Labor (DOL). In this role, she leads the DOL in the discovery and adoption of new technologies and solutions to meet the unique business challenges face by the many sub-agencies that make up the department. She established and directed the AI Center of Excellence, the Automation Center of Excellence and the department’s Innovation Incubator to foster the exploration, development and operations of artificial intelligence, machine learning, robotic process automation (RPA), and other emerging technologies. She also serves as the Responsible AI Official for DOL, representing the department in White House working groups for the implementation of Executive Order 13960: Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government. In 2022, she was honored with the Samuel J. Heyman Service to America Medal as an emerging leader in the federal government.

Prior to joining DOL, Krista was a director at GSA’s Artificial Intelligence Center of Excellence, where she partnered with federal agencies to enable the adoption of AI and automation capabilities. She also helped lead the Artificial Intelligence Community of Practice (CoP) and continues to serve as a Steering Committee member. She led the creation of GSA’s “AI Guide for Government” to serve as a tool to help educate the federal government on AI adoption.

Before joining the federal government, she worked for IBM’s Federal Watson AI and Data Platforms team as a Data Scientist and Technical project lead, leading the design and development of machine learning based systems to government clients. She worked with the Department of Health and Human Services, the U.S. Postal Service, several Defense and Intelligence agencies, San Diego County, The United Way Worldwide and Florida 2-1-1. During her time at IBM, she earned a patent for helping develop a Convolutional Neural Network with Augmentation Features.

Randal Cole

Dr. Cole has over seventeen years of experience as an analyst for the Department of the Navy (DON) including six years at the Center for Naval Analyses (CNA) and eleven years as a civilian Operations Research Analyst for both Headquarters Marine Corps (HQMC) and the DON Secretariat.

In 2009, Dr. Cole joined HQMC, Programs and Resources, Program Analysis and Evaluation (PA&E). His primary areas of focus included the Planning, Programming, Budgeting, and Execution (PPBE) process, performance management, program analysis, data management, readiness, and advanced data analytics. Dr. Cole served as lead for development of the Performance Management Framework (PMF) and Marine Corps Strategic Health Assessment (MCSHA). The PMF and MCSHA helped to shape and redirect the Marine Corps’ resource management strategy through influence of current policies, plans, and programs. While at PA&E, Dr. Cole also served as Head of the Data Readiness Branch where he led development of the Marine Corps’ enterprise-level data and analytics services environment and coordinated data analytics efforts internally across HQMC and externally with the Department of Defense (DoD). 

In late 2019, Dr. Cole joined the DON Office of the Chief Information Officer (OCIO), Chief Data Officer (CDO) to serve as Deputy CDO. As Deputy CDO, he managed Executive-level DON data governance and chaired supporting working groups. Dr. Cole developed broad data management policy, led enterprise-level data maturity assessments, defined DON data management roles and responsibilities, and represented the DON in both Federal and DoD-level data governance fora. He led publication of the annual summary of DON data efforts in the Title 44 Annual Congressional Report to Congress, and he supported transition of the CDO role to the Chief Data and AI Officer (CDAO).

In April 2024, Dr. Cole stepped into the Acting CDAO role and is beginning a campaign of full Fleet engagement to establish integrated and supportive data, analytics, and AI policies while helping solve pressing needs across business and warfighting operations.

Danny Brock

Danny Brock is the Vice President of Customer Success at Fiddler AI, an enterprise AI Observability company, which focuses on monitoring, explainability, fairness, and responsible AI governance for predictive and generative models. AI Observability is a vital building block and provides visibility and transparency to the entire enterprise AI application stack. Danny leads the pre- and post-sales technical teams that unlock the value in AI insights for Fiddler’s prospects and customers. Throughout his career, Danny has brought his strong technical experience and passion for data, analytics and AI to lead customer facing teams at Endeca, Oracle, Incorta and even his own company, Branchbird.