Thank you, Andrew J. Brust Brust, for joining our roundtable and sharing your perspective on the growing momentum around AI. These conversations are critical as organizations navigate the gap between AI excitement and enterprise reality, where ambition is high, but challenges around data integrity, governance, and infrastructure still stand in the way of real impact. If you missed it, check out the full roundtable here: https://lnkd.in/eyHqaaeb #AI #DataIntegrity #DataTrust #Analytics #Leadership #AgenticReadyData
I recently joined Precisely’s Data Integrity & AI Forum, a roundtable discussion convened around new research from Drexel University’s LeBow College of Business. The session was moderated by Antonio Cotroneo, Director of Product Marketing at Precisely, and featured Dave Shuman, Chief Data Officer at Precisely, and Rabun Jones, VP of IT at C Spire, along with myself. One of the LeBow findings that framed the discussion was striking: 87% of data and analytics leaders say their organizations are AI‑ready, yet around 40–43% cite data readiness, skills, and infrastructure as their biggest AI blockers. That confidence–reality gap becomes even more pronounced once AI moves from aspiration to implementation. During the session, I noted that part of the disconnect is structural. In many organizations, it’s politically difficult to say you’re not ready for AI. When the question is framed as a binary yes/no, the safe answer is always “yes,” even when the underlying maturity tells a different story. Precisely captured the full conversation here: https://lnkd.in/eqVQwKMD