![]() ![]() For example, GenAI is trained primarily on unstructured data, whereas traditional machine learning is largely based on structured data. “It’s just fascinating to see what attention lands on,” says Carlsson, who is now an AI strategist for Domino Data Lab.Ĭarlsson notes that there are meaningful differences in GenAI versus traditional AI. Those figures struck Forrester analyst Kjell Carlsson as interesting. More than half of CEOs in June said they’re experimenting or evaluating GenAI (Source: Summer 2023 Fortune/Deloitte CEO Survey) However, only 39% of CEOs say they are evaluating or experimenting with predictive AI (although more CEOs said they were deploying predictive AI, 32% versus 13% for GenAI). The summer edition of the survey, which was conducted in June, shows that 55% of CEOs were evaluating or experimenting with GenAI. “The percent of organizations adopting any AI tools has held steady since 2022, and adoption remains concentrated within a small number of business functions.”Ī similar story is told by data coming out of the regular Fortune-Deloitte CEO survey. “…hile the use of GenAI might spur the adoption of other AI tools, we see few meaningful increases in organizations’ adoption of these technologies,” it wrote. What’s more, its survey suggests that 40% of organizations plan to increase their investment in AI overall because of advances in GenAI.īut there doesn’t appear to be any spillover into other forms of AI, McKinsey says. At least that’s what the research is showing.įor instance, McKinsey’s recent state of AI report says 2023 has been GenAI’s “breakout year,” with one-third of organizations surveyed saying they already using GenAI regularly. So far, the rapid uptake of GenAI doesn’t appear to be causing any broad uplift of more traditional forms of AI, such as predictive models based on machine learning algorithms. ![]() But what about traditional forms of AI? Is there still room at the AI inn for good old machine learning? Nearly a year after the launch of ChatGPT, companies now are falling over themselves in a rush to adopt generative AI to gain a new competitive advantage or prevent competitors from doing the same. ![]()
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