Most go-to-market teams are betting big on AI and many are losing. Not because the technology doesn’t work, but because the foundation it runs on is broken. Inaccurate contacts, outdated records, and siloed systems don’t just slow AI down; they cause it to scale the wrong outcomes faster.
ZoomInfo’s EVP breaks down why so many AI investments are falling short and what it actually takes to fix the problem. In this guide, you’ll learn:
- Why poor data quality is the hidden force undermining AI-powered GTM tools
- The real financial and operational cost of broken data and what the numbers reveal
- How bad data erodes seller confidence and quietly kills technology adoption
- What it takes to build a data foundation that lets AI actually deliver on its promise
Find out what separates the GTM teams winning with AI from the ones still waiting for results.
