Chapter 4. The Value of a Structured Context Foundation
A report from International Data Corporation (IDC) predicts that enterprises will spend $151.1 billion on generative AI solutions by 2027. These massive investments put intense pressure on executives. A 2025 Dataiku/Harris Poll survey found that 74% of CEOs said they could lose their job in the next two years if they do not demonstrate tangible results from their AI investments. But making the right strategic decisions is increasingly challenging. The technologies are complex and quickly evolving. Then there is the hype and exaggerated AI claims, which make it difficult to evaluate solutions.
So, what do you do?
To break through the noise, in this chapter we’ll first explore how the three core AI capabilities are converging around a structured context interface. We’ll then look at the playbooks of leading organizations that are already having success with this approach. Next, we will examine the emerging standards and trends that are shaping the future of the ecosystem. Finally, we’ll outline practical steps for implementing these strategies to drive measurable impact from your AI investments.
AI Capabilities Are Converging Around Structured Context
Throughout this report, we’ve seen how three core AI capabilities—conversational analytics, copilots, and agentic workflows—are fundamentally changing the data stack. We’ve shifted from static to dynamic dashboards and natural language interfaces with data, allowing for ways ...
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