The Trusted Data Layer for AI Agents: Governance, Security & Interoperability at Scale

Author:

Tamar Yehoshua

Chief Product & AI Officer

Atlassian

Tamar Yehoshua is Atlassian’s Chief Product and AI Officer, driving the company’s vision for the future of teamwork in the age of AI. She leads Atlassian’s Teamwork Collection and AI strategy, uniting product, design, and intelligent experiences to help teams work smarter, faster, and more creatively. Her goal: build AI‑native, world‑class products that set the standard for how millions of knowledge workers get things done.

Previously, she was President of Product and Technology at Glean, and Chief Product Officer at Slack, where she guided the company through rapid growth, a public listing, and acquisition by Salesforce.

Author:

Bala Vaidyanathan

VP, Head of Data & AI

FedEx

Bala Vaidyanathan is vice president and lead for Data & AI at FedEx. Under his leadership, FedEx has leveraged their extensive data ecosystem to enhance shipping efficiency and improve logistics and supply chain operations. Their data-driven solutions deliver value for both internal teams and external customers.

As a recipient of the FedEx Five Star Award, and with almost 20 years of industry experience, Bala brings deep expertise, curiosity, and a first-principles mindset to every challenge. He holds a bachelor’s degree in engineering from the Indian Institute of Technology and a Ph.D. in operations research from the University of Florida. His technical research contributions have been published in multiple journals, and he served for several years as an associate editor for the international publication Networks.

Author:

Yao Morin

Chief Technology Officer

JLL

Yao Morin leads global data strategy and end-to-end management of data product roadmap for JLL Technologies, a division of JLL unifying the company’s technology, businesses, services and applications.

Based in San Francisco, her expertise offers vital guidance and insights to drive JLL’s technology roadmap while delivering further value for stakeholders. By helping to refine and accelerate JLL Technologies’ approach to gathering, extracting, storing and leveraging data assets across all JLL businesses, Yao is creating new value for investors, occupiers and the broader JLL organization.

Prior to JLL Technologies, Yao served as chief data officer and head of U.S. engineering at StubHub, where she defined and championed StubHub’s company-wide data strategy and oversaw the execution of a complete data transformation.

She also drove the development and modernization of Intuit’s data infrastructure as head of data science and machine learning engineering, principal data scientist.