Companies still don’t know how to handle generative AI risks

2023-09-19 03:30

Energized by the hype around generative AI, enterprises are aggressively pursuing practical applications of this new technology while remaining cautious about the risks, according to ISG. ISG research shows 85% of companies surveyed believe investments in generative AI within the next 24 months are important or critical.

While organizations see the potential of generative AI, they still don't yet fully know how to handle the risks.

Kelker said enterprises currently lack an AI architecture to support generative AI at scale.

Early efforts to apply generative AI are focused on creating domain-specific models built on proprietary datasets, further expanding those datasets to improve model training, developing customized adoption platforms, and creating solutions that unite analytics, AI and generative AI. "The initial focus for generative AI is on knowledge management, the ability to extract data from vast unstructured data sources for business decision-making, and functional process optimization, in areas such as marketing and sales, finance, HR, IT and DevOps," said Kelker.

"The quality of legacy data is an issue, which may be addressed by using synthetic data, as are so-called AI data hallucinations caused by missing or inaccurate data. Enterprise leaders also want to see clear ROI for their investments before proceeding. Then, of course, there are the security, legal and ethical implications. Guardrails will need to be established before generative AI can be adopted at scale."

Financial services embrace generative AI. The ISG report shows financial services, including banking and insurance, is the leading industry for generative AI adoption, with 24% of total use cases, followed by manufacturing, healthcare and pharma and business services.

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https://www.helpnetsecurity.com/2023/09/19/generative-ai-challenges/

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