The roll call of companies that failed to see the threat of competition in their rear-view mirror is long and illustrative. GM and Japan. Circuit City and Best Buy. Sears and Wal-Mart. Who’s to blame? The CEO, says Ben Gilad, a consultant and former associate professor of strategy at Rutgers Business School. CEOs have trouble seeing and reacting to new competition because they don’t talk or listen to the right people, Gilad says. Once a year they might attend a conference where they play golf and talk to their peers. “So they’re taken by surprise when some new company comes and steals their customers,” he says.However, executives can create an early-warning system for identifying and prioritizing strategic risks and then take action to counter them. For example, Gilad says, a pharmaceutical company such as Pfizer that relies on a few megabrands should keep a close eye on the science of genomics, which could give rise to medications that are tailored to a certain segment of the population. Pfizer needs to identify how fast genomics will become a commercial possibility. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe Companies can do this by collecting information about signs of change from inside (rumors and ideas from employees) and outside (academia and experts), and use software to organize and tap into it. Gilad cites one package, from Coemergence, that helps companies build early-warning information into a database. When the data reaches a certain threshold, the system sends an alert to the appropriate manager. That doesn’t guarantee companies will act on the information, but ignoring it carries a price. If Pfizer realizes genomics is about to make a breakthrough, it can create more tailored drugs. “If it doesn’t, Pfizer’s performance will decline,” Gilad observes. Just like GM’s has. Related content feature The year’s top 10 enterprise AI trends — so far In 2022, the big AI story was the technology emerging from research labs and proofs-of-concept, to it being deployed throughout enterprises to get business value. This year started out about the same, with slightly better ML algorithms and improved d By Maria Korolov Sep 21, 2023 16 mins Machine Learning Machine Learning Artificial Intelligence opinion 6 deadly sins of enterprise architecture EA is a complex endeavor made all the more challenging by the mistakes we enterprise architects can’t help but keep making — all in an honest effort to keep the enterprise humming. By Peter Wayner Sep 21, 2023 9 mins Enterprise Architecture IT Strategy Software Development opinion CIOs worry about Gen AI – for all the right reasons Generative AI is poised to be the most consequential information technology of the decade. Plenty of promise. But expect novel new challenges to your enterprise data platform. By Mike Feibus Sep 20, 2023 7 mins CIO Generative AI Artificial Intelligence brandpost How Zero Trust can help align the CIO and CISO By Jaye Tillson, Field CTO at HPE Aruba Networking Sep 20, 2023 4 mins Zero Trust Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe