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Company leaders, at least on earnings calls<\/a>, say they want to use generative AI to boost the bottom line, and Microsoft recently estimated<\/a> that nearly 60% of Fortune 500 companies are using its Copilot AI assistant.\u00a0<\/p>\n But speakers at Fortune Brainstorm AI Singapore<\/a> last week warned that companies need to overcome a gaps in value, confidence and expertise if they want to leverage the benefits of employing generative AI.<\/p>\n \u201cThere\u2019s a lot of excitement about AI, but translating that into business outcomes is not easy,\u201d said Debanjan Saha, CEO of DataRobot, referring to what he called the \u201cvalue gap.\u201d<\/p>\n When it comes to the \u201cconfidence gap,\u201d businesses are \u201cnot confident enough to take those AI applications or models to production because they are not sure about the accuracy,\u201d he continued.\u00a0<\/p>\n Fortunately, Saha noted, companies don\u2019t need their workforce to have a deep level of expertise with AI and building models. Instead, \u201cyou really need people who can use these models to actually solve business problems.\u201d<\/p>\n Another important element of the \u201cconfidence\u201d gap? Figuring out how to \u201cstay out of jail,\u201d Saha said.\u00a0<\/p>\n But government scrutiny isn\u2019t stopping companies from trying to adopt AI. \u201cSurprisingly, the industries which are more regulated are actually using [AI] a lot, contrary to what you might think,\u201d said Vivek Luthra, senior managing director for growth markets and ANZ data at Accenture. (Accenture is a founding partner of Brainstorm AI)\u00a0<\/p>\n Luthra said that companies can approach the gaps in AI from a workforce transformation perspective. Companies need to think ahead, determine what work they will be doing in the future, and then cultivate the workers they\u2019ll need to achieve that.\u00a0<\/p>\n Training the right talent could result in huge value for a firm. Luthra cited the example of a food and beverages company, an Accenture client, that used AI to create a year\u2019s worth of marketing content in just eight days.<\/p>\n \u201cThat is phenomenal in terms of productivity enhancement,\u201d he said.<\/p>\n But workers will need to be trained in more than just generative AI and large language models. \u201cTo be able to scale, you need to think about the competencies. Having a large language model is a small part of that,\u201d Luthra said.\u00a0<\/p>\n Both speakers warned that not every firm will be able to adopt AI at the same rate. Tech and asset-light companies can be nimbler, while asset-heavy firms like manufacturing may need more time to use the new technologies.\u00a0<\/p>\n Saha reminded attendees that the point of generative AI is to return value to businesses, and that the \u201choneymoon period\u201d is not going to last long.\u00a0<\/p>\n \u201cShowing near-term value and showing some return on investment, showing some early successes\u2014I think that\u2019s very, very important,\u201d Saha said.<\/p>\n<\/div>\n CEO Daily provides key context for the news leaders need to know from across the world of business. Every weekday morning, more than 125,000 readers trust CEO Daily for insights about\u2013and from inside\u2013the C-suite. Subscribe Now<\/a>.<\/div>\n\nRecommended Newsletter:<\/strong><\/p>\n