{"id":5519,"date":"2023-09-03T16:17:24","date_gmt":"2023-09-03T16:17:24","guid":{"rendered":"https:\/\/www.horsesforsources.com\/?p=5519"},"modified":"2023-09-07T00:36:07","modified_gmt":"2023-09-07T00:36:07","slug":"chatgpt-enterprise-10-reality-checks_082923","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/chatgpt-enterprise-10-reality-checks_082923\/","title":{"rendered":"As ChatGPT goes Enterprise, here are Ten GenAI Reality Checks you need to take\u2026"},"content":{"rendered":"
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Barely ten months after its birth changed the world of technology, OpenAI unleashes ChatGPT Enterprise<\/em>, where enterprises now have “Enterprise-grade security and privacy, unlimited higher-speed GPT-4 access<\/a>, longer context windows for processing longer inputs, advanced data analysis capabilities, customization options, and much more.”<\/p>\n Assuming the 20 enterprises that road-tested ChatGPT Enterprise experienced these benefits in double-quick time, you have to take a serious look at scaling up GenAI tools or risk getting left behind with the most hyped technology since the Internet came to be…<\/p>\n As Kurzweil\u2019s 2029 prophecy that AI will pass a valid Turing Test and draw level with human intelligence\u00a0<\/b>appears less improbable, it\u2019s vital we take a reality check<\/em> to balance fantasy with reality.<\/p>\n Firstly, you gotta love the discussions of the displacements of jobs from AI. It feels like the whole narrative on equating automation and job losses<\/a> just got reloaded with a GenAI sugar frosting.<\/p>\n Yet, at the same time, the build-out of capabilities on the service provider side is equally mindboggling as everyone claims deep capabilities of talent and solutions in barely<\/em> a few months. To this end, HFS is currently engaging with the leading service providers to learn about their strategic objectives and capabilities to release our inaugural Generative Enterprise Horizon study on the topic.<\/p>\n Simply put, the whole enterprise world is absorbing GenAI information overload, and we need to take a deep breath and crystalize some issues that will drive enterprise adoption:<\/p>\n From an enterprise point of view, what all of this boils down to is integration and governance. In the exhibit below, we have highlighted the critical elements. It is about building on and expanding all the hard work at the intersection of cloud, data, and AI. GenAI is not supplanting all this. All the noise about the democratization of AI is misleading, as we still need the infrastructure and the talent to run all these models. Talent that understands GenAI is not growing on trees. Thus, it will not only be an arms race for AI capabilities but for talent. And we should remind ourselves of the learning of cloud adoption. Cloud-native talent remains scarce, and many cloud transformations fail. It is all about the learning from those experiences. Therefore, we have to learn so much more about GenAI and beyond. Cutting through the market noise is an essential early step on that journey.<\/p>\nThe market is awash with BS about GenAI \u2013 and you already know it<\/strong><\/h3>\n
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