Building an AI-ready enterprise: Leaders share real-world AI solutions and practices

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Building an AI-ready enterprise: Leaders share real-world AI solutions and practices

AI adoption is happening at a faster pace than any previous technology cycle, and the pressure is on every executive to get it right. Whether you lead in finance, pharma, media, CPG, or tech, the challenges are the same: How do we move beyond AI pilots to production? How do we balance data governance with AI innovation? How can we control costs without slowing down adoption? The leaders who solve these challenges today will have a competitive edge.

Six senior leaders from top global brands including Danone, Capital One, Warner Bros. Discovery and Gilead Sciences join us for a candid conversation about how AI is reshaping the way they work, compete and make decisions.

Watch this roundtable to hear these leaders discuss actionable strategies and AI agent use cases that you can implement in your organization. They explore how to break down complex workflows into agent tasks, create a responsible AI committee, and how to turn AI pilots into scalable business results.

Their conversation yielded five insights that every executive can responsibly apply to scale AI and realize its full business potential.

  1. AI Go Beyond Labels: Create Results-Focused Strategies
    Don’t be put off by labels like “AI-powered” or “data-driven.” Measure AI by the results it delivers: faster insights, better decisions, and tangible business value.
  2. Prioritize the measurable impact of AI projects
    Shift focus away from academic debates about AGI or “what’s next” and focus on where AI is already making measurable progress.
  3. Build the Foundation for Agentic AI Now
    Lay the foundation for agentic AI now by investing in high-quality data orchestration tools and strong governance. Organizations that delay will be left behind as adoption accelerates.
  4. Align your organization around AI as a product
    Treat AI as something you build by intentionally aligning data, engineering, and business teams so that AI becomes the core driver of strategy, not a side project.
  5. Act quickly: measure what’s working
    Identify high-performance use cases now and scale them quickly to capture value.

Watch the video to see the full discussion and learn how today’s leaders are scaling AI agents, building governance frameworks, and making measurable impact.

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