AI & Technology

Matt Kelly, Partner and Head of AI Practice at Simpson Thacher & Bartlett, explains why there's no rush to be first on AI, and why finishing one project is what makes the next decision better.

Darcy MacClaren, Operating Partner at Cambridge Capital, on why replanning in hours now beats a better forecast.

Veteran communications executive Michela Ratti on her methodology for managing corporate reputation as an information supply chain in the age of AI.

Most enterprise AI conversations start with what the model can do. The more pressing question is whether you can afford to run it ten million times a month.

Chan Suh, Chief Digital Officer of Prophet, on why enterprise AI-agent strategy depends on flexibility, measurable impact, and owning proprietary workflows.

Michael W Nelson, Director of Global Strategic Partnerships at Vonage, explains why RCS, voice AI, and AI agents are converging into a continuous customer journey that most enterprises cannot deploy because marketing, CX, and CRM platforms still operate in separate technology silos.

Angela Cirulli, AI Strategy & Ops leader at Microsoft, explains why responsible AI is moving beyond policy documents and into the operating model, starting at product build and cascading through reskilling, governance, and change management across every function.

Max Richter, EMEA CEO at mea, argues that AI governance in insurance fails when it lives in policy folders rather than in the permissions, thresholds, audit trails, and human approvals embedded directly into production workflows.

Laura Lake, Founder of AI-Ready Buyer Research, lays out the cross-functional playbook B2B brands need to stay visible inside conversational AI.

Dipa Tapadar, Enterprise Digital and Data Transformation Leader at Cognizant, on what regulated industries keep getting wrong about CRM and why AI is about to expose it.

Frances Ward, VP of Corporate Marketing & Communications at Asana, is building context-aware AI systems that help communications teams connect external events to internal strategy.

Polaris I/O’s Dave Irwin explains why the enterprise-AI productivity gap is a problem of decision speed, not technology, and that the unlock is collapsing the time from signal to action.