AI vendors move to tackle the hidden cost of inefficient enterprise code

The ability to evolve code by altering the underlying algorithm underneath it could be a game changer for enterprises, analysts say.

“Code evolution is powerful for enterprises that want to improve performance in areas such as routing, scheduling, forecasting, and optimization. These are the areas where algorithmic gains directly translate to commercial advantage, reduced compute cost, and better time to market,” Fersht said.

Bradley Shimmin, practice leader for data, AI, and infrastructure at The Futurum Group, said Google may be aiming to help enterprises to evolve entire codebases, rather than just help with syntax completion, code generation, and documentation.

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