The AI ROI gap: Why enterprise intelligence is stalling at the infrastructure level
The enterprise world is currently witnessing a stark divergence between AI ambition and real-world execution. While the narrative of the last eighteen months has been dominated by the transformative potential of Large Language Models and Generative AI, the operational reality for many businesses is a "Proof of Concept graveyard".
Organizations are making significant investments but are frequently failing to realize the expected return on investment.
To understand why these projects are stalling, we must look past the software and the user interface. The bottleneck is not a lack of imagination; it is a profound foundational fragmentation occurring at the infrastructure level.
As we move from the era of experimentation into the era of implementation, the industry is discovering that the "plumbing" of AI is far more complex than the applications themselves.
The false start and the public cloud paradox
For many organizations, the initial move to the public cloud provided...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
