Closing the AI Value Gap Part 3: The Roadmap to Build Adaptive Analytics

Realizing Adaptive Analytics solutions requires building up trust, which is not easy for an AI system. This roadmap will help.

The creation of Adaptive AI System is not as simple as putting feedback loops in place. Human complexity is the challenge. Image Source: Wikimedia

In Part 1 of this series, I introduced what I call “the AI Value Gap”, a disconnect between the value generation being predicted for AI use cases and the current capabilities of AI technology, and asserted that we need to think more broadly about the human-in-the-loop systems that AI is integrated into, moving from predictive & prescriptive to adaptive AI systems.

In part 2, I fleshed out the 4 feedback loops that enable adaptive analytics Systems: Interactive, Automated, Analytical, and Expansion and how they work together to create a collaborative AI that adapts to each person and continuously improves to solve problems better over time.

However, these posts only touched on the theory behind the creation of Adaptive AI solutions and how they could close the Complex Problem AI Value Gap. In this post, I’ll walk you through a practical way to structure initiatives to build an adaptive analytics product for your organization.

The challenge: trust building