While the ROI of any given AI project that not only automate document summarization but also help manage power grids during storms, for example.
Global professional services firm Marsh McLennan has and designed to prevent damage to their enterprise and to ensure unchecked “shadow AI” is kept at a minimum.
Chase’s Haus, for example, firmly believes that the intense amount of work currently invested in fixing gen AI hallucinations and setting up guardrails and governance will pay off substantially over time.
The risks of accidentally exposing sensitive corporate data or designing gen AI models that fly afield of their intended missions are also top of mind for Dairyland Power’s Melby, who is working with a Microsoft partner to deploy Copilot and Azure OpenAI capabilities to employees in a secure manner.
“CIOs need to be aware of the changing tides in this space and meter investment to align with the risk tolerance of their company,” Melby says. “It becomes a cost vs. benefit conversation, where there can be huge advantages if the company is willing to adjust as more governance becomes established.”
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