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Driving strategy in the AI era


In the fifth edition of the Modern Data + AI Leader’s Playbook, we explore how the data and AI landscape is evolving for 2026—and what today’s leaders must do to deliver real, measurable impact from AI in production. As organizations move beyond pilots and hype, reliability, governance, and operational excellence have become the defining factors of success.

Drawing on insights from data and AI leaders, industry research, and Monte Carlo’s reliability experts, this playbook breaks down the technologies, operating models, and cultural shifts required to scale trustworthy data and AI systems. From AI observability and unstructured data monitoring to context engineering and data products, you’ll get a clear view of what it takes to win in the next phase of enterprise AI.

You'll learn:

  • Why 95% of AI pilots fail—and how to avoid the same fate in 2026

  • How data + AI observability is emerging as a single, unified discipline for reliability at scale

  • What “AI-ready data” really means, and how to operationalize it across your organization

  • How leaders are managing unstructured and third-party data to reduce risk and control costs

  • Why data products still matter—and how they form the foundation for scalable AI and agent-driven use cases

Whether you’re a data leader, AI practitioner, or executive navigating the shift from experimentation to production, this playbook delivers the strategies, frameworks, and practical guidance you need to build reliable, high-impact data and AI systems in 2026 and beyond.