Lexy Kassan

Most AI failures aren't technology problems — they're people, process, and architecture problems. In this hands-on session, you'll witness a live AI trainwreck: an agent operating without guardrails, governance, or the right organizational design. Then, in a real-time post-mortem, we will collectively dissect what broke and why. You'll map the missing middle layer: the intersection of roles, accountability structures, and platform architecture. And you'll work alongside peers to design practical fixes. The session closes with an exercise where attendees act as domain experts to train an AI Judge capable of scaling oversight across enterprise deployments. Expect minimal slides, maximum doing, and a concrete blueprint you can apply within 30 days. This session is built for executives who are tired of theoretical AI frameworks and want proven patterns that make AI projects safer, faster, and genuinely business-ready.

This high-velocity workshop is designed for data and AI leaders seeking to rapidly develop a comprehensive AI strategy tailored to their organization's needs. In just 30 minutes, participants will engage in a focused, interactive session that delivers actionable insights and a strategic framework for AI implementation. Key components of the workshop include: - Rapid assessment: Quickly evaluate your organization's AI readiness and potential impact areas - Strategic alignment: Align AI initiatives with core business objectives and value creation opportunities - Resource optimization: Identify critical resources, skills and technologies required for successful AI adoption - Risk mitigation: Address key challenges and ethical considerations in AI deployment - Priority areas: Where to focus first to get the best start By the end of this intensive session, you will have the foundation of a robust AI strategy and guidance on roadmap execution.

The latest wave of hype/interest in AI has accelerated public misgivings and regulatory scrutiny. Businesses, especially in already-regulated industries, are scrambling to assess compliance and find viable ways to continue profitable use of data and AI.