{"id":5565,"date":"2023-10-24T17:01:39","date_gmt":"2023-10-24T17:01:39","guid":{"rendered":"https:\/\/www.horsesforsources.com\/?p=5565"},"modified":"2024-09-11T11:48:41","modified_gmt":"2024-09-11T11:48:41","slug":"generative-enterprise-services_102423","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/generative-enterprise-services_102423\/","title":{"rendered":"Service providers are investing ahead of the curve in GenAI, but are enterprises truly ready to partner with them?"},"content":{"rendered":"

HFS has just launched the industry’s first-ever Generative Enterprise\u2122 Services Horizons report<\/a>, covering the 35 leading service providers and advisors vying for what they expect to be an enterprise investment bonanza.\u00a0 \u00a0<\/strong><\/p>\n

So we finally have real “low-code” technology for business people, and every company leader wants to make sure they aren’t caught flat-footed again like they were barely a year after that famous ChatGPT launch. What is clear is they all desperately need partners to help them, but which of today’s leading service providers have the real chops to provide GenAI value at scale?\u00a0 Who’s actively backing up their big rhetoric with real know-how and capability?\u00a0 <\/span><\/p>\n

Well… after an exhausting process of researching the 35 market leaders, their customers, and partners, we can provide the industry’s first real view of how the GenAI services landscape is shaking out.<\/span><\/p>\n

The next LLM update will create new <\/span>business <\/span>cases <\/span>and just as easily <\/span>destroy <\/span>others<\/span><\/span>\u00a0<\/span><\/strong><\/span><\/h3>\n

Generative AI (GenAI) seemed to land like an alien-bestowed gift at the start of the year, promising productivity step changes and transformed ways of working. It triggered a rush of announcements from service providers as they committed billions in investments, raced to train hundreds of thousands of staff in the new technology, and buddied up with the hyperscaler owners of so much of the critical technology. Enterprise leaders felt pressure from above and below to \u201cdo something\u201d with this shiny new object.\u00a0<\/span><\/p>\n

This nascent market is very much subject to rapid change. Updates to the various versions of large language models (LLMs) on offer may reveal unexpected opportunities for new use cases at every turn\u2014and they are just as likely to destroy other business cases. There\u2019s never been a better time to be agile and to keep your options open.<\/span>\u00a0<\/span><\/p>\n

Fix your data and cloud challenges now<\/span>,<\/span> or risk missing the <\/span>GenAI<\/span> revolution<\/span><\/span>\u00a0<\/span><\/span><\/strong><\/span><\/h3>\n

And yet, there is a growing reali<\/span>z<\/span>ation that scaling the possibilities of <\/span>GenAI<\/span> will ONLY be possible with solid <\/span>data designed to support GenAI tools and cloud maturity foundations<\/span>. This<\/span> realization<\/span> will<\/span> create a moment for a sharp<\/span> collective<\/span> intake of breath among those enterprise leaders who are still working to get their data and cloud capabilities up to scratch. <\/span>C<\/span>atch<\/span>ing <\/span>up <\/span>won\u2019t<\/span> be cheap<\/span>,<\/span> b<\/span>ut <\/span>to join the <\/span>GenAI<\/span> revolution<\/span>\u00a0it<\/span>\u2019<\/span>s going to be unavoidable.<\/span><\/span>\u00a0 <\/span><\/span><\/p>\n

Simply put, if we just layer GenAI onto what we already have, we’ll reach a ceiling very quickly with what we can achieve. If, however, we optimize how we collect data to be synthesized by GenAI tools, the opportunities are exponentially greater.\u00a0 We will have to change our habits and how we do things if we truly want to move to a new S-Curve of value.<\/span><\/span><\/p>\n

This is where the smart service providers see the real gold – transforming enterprises to get them GenAI-ready, as opposed to their old habits of implementing software and hoping their clients actually use it effectively.\u00a0 Hence GenAI is a transform-first, then-implement scenario…<\/span><\/span><\/p>\n

Our Generative Enterprise\u2122 Services <\/span>H<\/span>orizon<\/span>s<\/span> report covers the 35 leading service <\/span>providers<\/span><\/span>\u00a0<\/span><\/span><\/span><\/strong><\/span><\/h3>\n

Note: Service providers within each Horizon are listed alphabetically.<\/em><\/h3>\n

HFS has called out the rise of the Generative Enterprise\u2014the articulation of the pursuit of AI technologies based on LLMs like ChatGPT and GPT-4 to reap substantial business benefits for organizations in terms of continuously generating new ideas, redefining how work gets done, and disrupting business models steeped in decades of antiquated process and technology.<\/span>\u00a0<\/span><\/p>\n

The report offers detailed profiles of each provider and places each in one of our three Horizons:<\/span>\u00a0<\/span><\/p>\n

Our report examines and assesses 35 service providers. It evaluates providers\u2019 capabilities to understand the Why, What, How, and So What of their Generative Enterprise services offerings:\"\"<\/a><\/span><\/p>\n