Why AI Initiatives Fail Before the AI Does
B2B Sales TrendsAugust 14, 202600:02:34

Why AI Initiatives Fail Before the AI Does

Companies are investing heavily in AI—but many are overlooking the foundation it depends on.

Tim Pfaelzer, SVP & General Manager EMEA at Veeam, explains why organizations may have an AI trust problem rather than an AI adoption problem—and why moving quickly with AI can create serious risks when the underlying data isn't ready.

In this video, you'll discover:

Why data challenges are slowing AI initiatives
The blind spot many organizations overlook when adopting AI
Why AI is scaling faster than governance
The role of data quality, control, security, and recoverability in AI
Why moving fastest doesn't necessarily mean winning with AI

The question isn't simply whether your organization can adopt AI. It's whether you can trust the data and outcomes underneath it.

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