CIOs seek to make generative AI tools part of an enterprise\u002Dwide strategy that includes choosing the right infrastructure, language model, and navigating…
The lakehouse, on the other hand, seeks to offer an open architecture that combines the flexibility and scale of data lakes with the management and data quality of warehouses, the report reveals. It also minimizes the need to move data, which creates privacy risks.Leveraging a general purpose AI platform does not confer competitive advantage and creates competitive risk, explained Michael Carbin, associate professor at MIT.
Users also lack visibility into the training data and algorithms that power the models. A number of companies like Samsung, Verizon, Amazon, and JP Morgan Chase have taken steps to limit company use of external generative AI platforms. Generative AI will also democratize access to technical capabilities, previously reserved for only a slice of the workforce, the report says. In fact, ideas for AI, one CIO noted, will start coming from the workforce itself, ushering in a self-service and entrepreneurial era.
Addressing risk aversions and cultural factors like fear of failure are also key to driving AI adoption in the workforce, the CIOs concurred.Adopting AI without managing the risks – from bias, copyright, and privacy infringement to security breaches – is recklessodel explainability is imperative to earning the trust of stakeholders for AI adoption and for proving the technology’s business value.
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