{"id":6533,"date":"2025-10-31T11:00:00","date_gmt":"2025-10-31T11:00:00","guid":{"rendered":"https:\/\/friscotimes.org\/?p=6533"},"modified":"2025-10-31T17:14:09","modified_gmt":"2025-10-31T17:14:09","slug":"companies-are-trying-to-do-too-much-with-ai-says-it-ceo","status":"publish","type":"post","link":"https:\/\/friscotimes.org\/?p=6533","title":{"rendered":"Companies are trying to do too much with AI, says IT CEO"},"content":{"rendered":"\n

Many CEOs are buying into the AI revolution wholeheartedly<\/a>, but a study published by MIT in July was a wake-up call to the challenge of extracting value from the new technology. The report found that 95% of organizations are getting no measurable return from their investment in generative AI.<\/p>\n

\n

Scaling gen AI projects beyond the pilot phase is fundamental to turning the current AI hype cycle into real ROI. How can companies get over the hump? For starters, they should stop trying to introduce AI to every facet of operations, says Abhijit Dubey, CEO of NTT Data, an IT services and consulting company.\u00a0<\/p>\n

\u201cWhat happens is companies say, \u2018In every single domain, I\u2019m going to unleash innovation, and I\u2019m going to have AI enablement.\u2019 I think that\u2019s the wrong strategy,\u201d Dubey said at the Fortune Global Forum in Riyadh on Sunday. The right strategy, he noted, is to \u201cpick one or two domains that are going to create disproportionate economic value for the company and go end to end.\u201d He gave the example of focusing on underwriting in insurance and supply chains in manufacturing.<\/p>\n

FedEx has been intentional about integrating AI into three broad areas: internal operations, customer experience, and creating new value levers for customers (such as improving demand forecasting and reducing returns), said Kami Viswanathan, FedEx\u2019s president of the Middle East, Indian subcontinent, and Africa region. \u201cResearch has shown that organizations that have a clear AI strategy, which has this prioritization, have a much greater degree of success than others that don\u2019t, right? So for us, that\u2019s the key aspect of scaling.\u201d<\/p>\n

Deploying AI across an organization comes with risks and requires adequate safeguards, said Fabio Kuhn, CEO of Vortexa, a cargo tracking and energy market research firm whose customers can query its data via chatbot. Human supervision is essential to limiting hallucinations and keeping any that do slip through from shaping decision-making, he said. \u201cIn addition to speed and quality, what is \u2026 increasingly important on any model, any agent, is explainability. For a human to be able to understand, why is it making the decision that it is making?\u201d he said.\u00a0<\/p>\n

Keeping a human in the loop is essential when AI is deployed in health care, said Noosheen Hashemi, cofounder and CEO of January AI, a precision health care company. \u201cThese LLMs [large language models], yes, they have read everything, but they do hallucinate, and they do it confidently. When there is data missing, they will invent it,\u201d she said, noting that January AI\u2019s Mirror tool has a hallucination rate under 1%. \u201cWe have doctors actually looking at results and saying, \u2018Does this actually make sense?\u2019\u201d<\/p>\n

Health care also has its own unique hurdles to scaling AI, especially in the U.S.: Data silos spread across patients, insurers, providers, and labs. The cost\u2014in terms of potential\u2014is enormous. \u201cNot having a unified view of data doesn\u2019t really allow us to leverage AI in the best way that we can,\u201d Hashemi says. \u201cWe have the technology today, absolutely, to eradicate lifestyle-based chronic diseases in the world. The question is, to what extent do we have the will to actually apply this technology and to overcome data silos, regulatory issues, privacy issues, to actually deploy AI, because the technology is here.\u201d\n<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

Many CEOs are buying into the AI revolution wholeheartedly, but a study published by MIT in July was a wake-up call to the challenge of extracting value from the new…<\/p>\n","protected":false},"author":818,"featured_media":6534,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[6],"tags":[111,1590],"jetpack_publicize_connections":[],"yoast_head":"\nCompanies are trying to do too much with AI, says IT CEO - Frisco Times<\/title>\n<meta name=\"description\" content=\"\u201cPick one or two domains and go end to end.\u201d\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/friscotimes.org\/?p=6533\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Companies are trying to do too much with AI, says IT CEO - 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