Most teams are sitting on more content than ever, yet getting a clear, reliable answer from their own data still takes longer than it should. Studies show that GenAI-powered search tools produce incorrect or significantly flawed responses in up to 45-67% of queries, which means the problem isn't just disorganized information, it's not being able to trust what comes back when you go looking for it.

That gap between having content and getting reliable answers is where decisions slow down, customers wait longer, and teams lose confidence in the tools they rely on.

This webinar, featuring Symplistic.ai (link resides outside of ibm.com), breaks down why accuracy problems persist even in modern AI tools, and what it actually looks like when teams fix it without a major overhaul.

Attendees will walk away understanding:

• Why AI search tools stall on accuracy even when your content is well organized
• What changes when teams can actually trust the answers they get from their own data
• How to get there without a heavy lift or a long implementation