Does Governance Outweigh the Art of Insight in the Age of AI?
Organizations embrace self-service BI because business analysts typically have the tools they need to quickly turn data sets into insights. Often, these data sets are not governed or managed by IT, but this paradigm is accepted because the business analyst knows the business, can apply data to solve a business problem, and can evaluate whether insights are reasonably accurate to address the business problem. Using powerful desktop data discovery tools, the business analyst is equipped with business knowledge to evaluate, iterate and validate information. These analysts deliver their insights in the form of beautiful charts and reports to address numerous business problems. In other words, the art of insight often outweighs 100% accuracy or data governance.
The era of AI–enabled BI changes this paradigm. Machine generated insights may remove the business expert entirely from the analytic process. By applying AI to ungoverned data sets without human oversight, this change creates a greater risk of inaccuracy and unreliability in the insights delivered. Governed data discovery tools that integrate AI in the analytic process are key to delivering more reliable machine generated insights. In this fascinating webinar, we uncover why governance is even more critical to BI in the age of AI:
- What are the risks of applying AI to ungoverned data?
- What will it take for AI to conquer reliable report creation?
- What BI tasks and use cases are suitable for AI and why?