Preparing Enterprise Data for the AI Era

Описание: AI promises instant answers. Most organizations are still stuck on a more fundamental problem: their data isn't ready for it.

Information is scattered across systems, locked inside dashboards, or sitting in databases that only a handful of people know how to query.

The gap isn't really about access, it's about making data usable by the people who need it, not just the ones who can extract it.

In this episode of Deconstructing Data, Jessie Lizak and David Finkelstein sit down with Connor Folley, Co-Founder and CEO of Alkemi.ai, to dig into how organizations can close that gap.

Connor built Alkemi.ai to let companies securely connect their databases and query them through natural conversation, directly through Alkemi's interface or inside tools like Slack.

No waiting on reports, no wrestling with SQL. Just questions, answered in seconds.

The conversation covers:

1. Making Existing Data Usable for AI
2. Secure Self-Serve Data Access for Organizations
3. The Role of Data Analysts in the AI Era
4. Tech Stack

From getting enterprise data AI-ready to navigating the tension between accessibility and security, this episode gets into how companies can stop leaving value buried in their own systems and start turning it into faster, smarter decisions.