Tech leaders are under significant pressure to drive AI adoption and show the value of genAI and AI agents. As a result, they often forget that the technology is just one element in ensuring innovation success. Based on the practices of leading firms, we'll discuss five best practices that tech leaders must master to drive AI adoption — and move beyond the pilots!Key takeaways: Discover the five best practices for scaling AI throughout your organization.Learn why applying these practices is as important as having the latest AI technology.Target audience level: beginner and Intermediate

B2B marketing leaders are working through a 2027 planning cycle where persistent volatility, AI-driven disruption, and changing buyer behavior are breaking the direct link between budgets and better outcomes. Redistributing investments across existing allocations or scaling activity uniformly will reinforce legacy approaches and drive fragmentation, not impact. Growth and resilience now depend on using budget as a prioritization tool, making explicit decisions about where to concentrate investment and what to stop funding. New capacity will come from aligning resources with market realities and strategic priorities, concentrating investment, strengthening execution, and driving measurable impact.Technology and business decision-makers are tearing their hair out over how to best adopt AI agents organizationwide without compromising decision quality and customer experience. Process intelligence software offers them an out-of-the-box solution. Until now, process intelligence software has been mainly used for hindsight analytics of past processes. With agentic AI, it is becoming the infrastructure for the agentic layer, enabling better agentic outcomes with higher conformance rates.Key takeaways: Understand how process intelligence helps train, design, ground, and observe agents.Learn how to get started.Target audience level: all levels