{"id":4193404,"date":"2023-08-23T17:03:02","date_gmt":"2023-08-23T15:03:02","guid":{"rendered":"https:\/\/www.deptagency.com\/insight\/what-generative-ai-can-learn-from-the-failures-of-iot\/"},"modified":"2023-09-14T09:22:46","modified_gmt":"2023-09-14T07:22:46","slug":"what-generative-ai-can-learn-from-the-failures-of-iot","status":"publish","type":"article","link":"https:\/\/www.deptagency.com\/en-dk\/insight\/what-generative-ai-can-learn-from-the-failures-of-iot\/","title":{"rendered":"What generative AI can learn from the failures of IoT"},"content":{"rendered":"
\n\t\n\t<\/svg>\n\t\t\t\n\t\t\tBack to all articles\t\t<\/span>\n\t\n<\/a>\n\t\tWhat generative AI can learn from the failures of IoT\t<\/h1>\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t<\/picture>\n\t\n\t<\/div>
\n\t\t\t\n\t\n\t
\n\t\tDennis E. K. Nielsen\t\t
\n\t\tDigital Strategist\n\t\t\t<\/div>\n<\/div>\n\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\tDate\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t23 August 2023\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n<\/div>\n\n
\n\t\n\t\tIf you can’t set a good example, at least be a horrible warning.<\/em>\t<\/p><\/div>\n\n
\n\t
\n\t\t\n\t\t\t\t\t
\n\t\t\t\t\n
\n\t\tIn the radiant glow of generative AI, it’s easy to forget that just over a decade ago, another technology \u2013 IoT \u2013 was similarly hyped. Combined with the burgeoning concept of ‘Platform as a Service’ (PaaS) architecture, IoT was, for example, poised to catapult GE into the league of top global software companies. By 2019, however, many digital assets related to Predix \u2013 the ambitious project that was to make this leap possible \u2013 were sold off by GE.

Numerous\u00a0articles<\/a>\u00a0have detailed the Predix project’s failure, so we will not reiterate the tale here. Instead, we wish to draw attention to the lessons learned from its implementation.

The story of GE\u2019s failed IoT attempt serves as a stark reminder of the challenges that can surface during the implementation of transformative technologies – a lesson that is especially pertinent to the burgeoning field of generative AI.<\/em>\t<\/p><\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\n\t