Calculating the Cost and ROI of Generative AI

Featuring three AWS Enterprise Strategists

Generative AI has the potential to revolutionize industries and organizations, but how much will it cost you, and how do you measure return on that investment? In this episode, get practical guidance on estimating the costs of generative AI adoption, from model selection to infrastructure requirements. Learn how to quantify the productivity gains and efficiency improvements enabled by generative AI, strategies for upskilling your workforce, and advice on driving organization-wide adoption of generative AI capabilities.

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Highlights

01:58 - How do you estimate the cost of generative AI?
07:52 - Should you buy or build your own model?
16:33 - Getting employee buy-in on generative AI
25:37 - What value does generative AI bring to your organization?
36:44 - Getting return on your investment

Jake Burns, Enterprise Strategist, AWS:

"This trend towards using smaller, more specialized models makes a lot of sense if you're looking from an ROI perspective. If we’re talking a year ago, a lot of people were thinking, “What's the best model, what's the biggest model?” But I think as the reality has set in that these really big models, you don't necessarily need all the functionality of them for everything that you're doing, and they tend to be the most expensive option."