This post was originally published on Pure Storage
Like many others, you’re likely grappling with the challenge of creating an AI solution that drives meaningful productivity gains across your organization. Industry analysts agree—delivering tangible results with AI is no longer optional; it’s a mainstream necessity. According to analyst firm ESG’s “State of the Generative AI Market” report from September 2024, over 75% of enterprises are planning for, in pilot, or in production use of GenAI. What’s truly remarkable is the expansive impact AI is making across functions such as R&D, engineering, marketing, customer support, research, and operations just to name a few. The rapid evolution of AI, from personal use to enterprise-wide adoption, has been nothing short of extraordinary. The Stanford Human-Centered Artificial Intelligence State of AI Index highlights this shift, noting that “more Fortune 500 earnings calls mentioned AI than ever before, and new studies show that AI tangibly boosts worker productivity.“ This underscores the immense transformative potential of AI to revolutionize industries and redefine how businesses operate.
Pilots in the Cloud
So imagine you’re tasked with developing a new GenAI application to optimize marketing or customer support team productivity. While it is not always obvious where to start, most begin with OpenAI or Google’s Gemini, as initial
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