Data 101 is a practical, engaging learning session designed to help business teams understand why data matters, how it drives innovation and growth, where AI fits in, and how simple privacy principles support responsible use without slowing the business down. The session was intended for Plant-Based, Beverages, and R&I audiences, with a focus on making data, AI, and privacy relevant, interactive, and business-oriented rather than sounding like a compliance training. It was structured around real-world examples, group discussion, and practical scenarios to show how data helps teams better understand consumers, improve decision-making, and scale innovation responsibly.

Trust and Safety organizations live or die by the consistency, judgment, and speed of their frontline teams—most of whom are hourly paid employees. Yet these same teams often operate under intense volume pressure, emotional strain, and shifting policy landscapes. How do you build true operational excellence in that environment? This panel brings together leaders from scaled marketplaces and platforms to unpack what it really takes to run high-performing, hourly-based Trust & Safety operations. We will explore how to design workflows, incentives, and quality programs that empower hourly reviewers and investigators to make sound decisions at scale—without burning out. Panelists will discuss strategies for coaching and career development, balancing productivity with nuance, using metrics intelligently (not punitively), and embedding safety culture into every shift, site, and vendor. Attendees will leave with concrete approaches to transform their hourly workforce from “ticket processors” into trusted risk partners—raising the bar on safety outcomes, operational reliability, and employee engagement.

The New Audit Blueprint: Implementing Horizontal and Vertical AI Controls in Digital Assets As artificial intelligence transforms the digital assets ecosystem, traditional risk frameworks must evolve. This session introduces a dual-layered audit architecture designed for complex AI deployments. We will explore "horizontal" controls that standardize data governance, privacy, and ethics across the organization, paired with "vertical" controls tailored to specific, high-risk digital asset use cases. Attendees will learn to embed automated risk controls throughout the entire AI lifecycle—from data ingestion to continuous monitoring. Discover how to shift from reactive compliance to proactive, transformation-driven assurance that secures digital assets while accelerating innovation.

The release of highly capable AI models has accelerated the production of persuasive online narratives intended to manipulate public perception about the integrity of elections, democracy, healthcare choices, and public policy. We discuss the collaboration and safeguards necessary to counter the impact of such manipulative narratives before they end up shaping the views of wide sections of the public, often irreversibly. This panel brings together practitioners with extensive knowledge and lived experience combating such narratives from AI, Journalism, Civil Society, and Academia.

Verification features are reshaping how trust is established online—but also raising complex compliance questions. From data privacy and identity verification requirements to impersonation risks and misleading “trust signals,” this panel will examine how verification models intersect with emerging regulations, including the DSA, UK OSA, and AUS OSA, and what best practices are evolving for platforms and businesses.