![]() ![]() You can see the heavy payloads this robot can handle. IFS Connect 2023 - why talk about generative AI when robotics and connected manufacturing are ready for prime time? Here's some of the best conversations we had this year. AI projects provoke an essential data conversation, whether it's robotics on the shop floor, or customer-facing service bots. But we did review several gen AI projects in the planning stages, and I recently documented one live gen AI use case. With live enterprise projects as the criteria, generative AI isn't there yet - we'll have to wait till 2024 for that. What I'm really after is precision: enterprise customers should know what AI's limits and potentials are, without the braggadocio and exaggerations. I've also blown a gasket or two on why "responsible AI" posturing by OpenAI and other "big AI" vendors is farcical. I've been critical of the flaws in generative AI - Large Language Models in particular. As such, generative AI is only one form of AI - and AI, no matter how much sex appeal marketers might infuse, should be subject to the same project discipline - and KPIs - as any other technology. Even the OpenAI drama required dissection.īut in an enterprise context, this ultimately comes down to results. The urgency to make sense of AI took the diginomica team across ethics, data governance, and into the perils of disinformation on democracy itself. AI fatigue became a real thing, especially from the keynote stage - but the impact of AI is undeniably real also. ![]() For better and sometimes for worse, generative AI-dominated enterprise conversations in 2023.
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