Why the secret to scaling AI isn't a better model, it's a simpler foundation

A study from MIT's NANDA initiative reveals that 95% of corporate AI efforts fail to deliver measurable value due to complex and fragmented data architectures rather than inadequate models. The key takeaway is that for successful AI scaling, businesses must focus on unifying their data infrastructure to support seamless integration and real-time access across various data types and workloads.

Read the full article at The New Stack

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