This infographic identifies five warning signs that AI initiatives are failing due to poor data access rather than weak algorithms. Indicators include hallucinated outputs, stalled pilots, missing business context, lack of trust from stakeholders, and models that fail to evolve. Visual callouts explain how siloed, stale, or inconsistent data prevents AI systems from learning and scaling. The infographic reframes AI failure as a data problem, not a model problem, emphasizing the need for connected, real-time, enterprise-wide data access. The core message reinforces that successful AI depends on feeding models the full truth through governed, federated data architectures.

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