Part 10/13:

The discussion underscored that data usability hinges on user experience—the ease with which stakeholders can access, interpret, and act on data. Kanea emphasized the importance of presenting data through intuitive dashboards and interfaces that enable quick insights.

Vinit highlighted the role of conversational AI and tools like Apache Superset, which allow querying data via natural language, thus democratizing access. However, he warned that data quality and veracity remain critical; flawed or inconsistent data undermines trust and effectiveness.

The concept of prescriptive analytics—where AI models automatically generate recommendations or decisions—was discussed as a future trajectory, reducing dependence on manual querying and reducing errors.