Webinars
Why Most GenAI Projects Stall, and How To Avoid the Same Traps With AWS
What if you could take GenAI past the proof-of-concept stage and finally deliver secure, scalable, and ROI-generating solutions in weeks, not months?
Right now, most organizations can’t. Over half of AI projects never make it into production, and nearly one in three GenAI projects is abandoned after proof-of-concept. ClearScale set out to solve this problem by developing a secure, production-ready framework on AWS that enterprises can actually trust: GenAI Workbench.
In this conversation, Bob Lindquist, Data & AI Partner Leader at AWS, sat down with Eric Miller, CTO at ClearScale, and Sanjay Marya, Director of Global Sales at ClearScale, to unpack what it really takes to move GenAI into production, and how other organizations are doing the same.
What if you could take GenAI past the proof-of-concept stage and finally deliver secure, scalable, and ROI-generating solutions in weeks, not months?
Right now, most organizations can’t. Over half of AI projects never make it into production, and nearly one in three GenAI projects is abandoned after proof-of-concept. ClearScale set out to solve this problem by developing a secure, production-ready framework on AWS that enterprises can actually trust: GenAI Workbench.
In this conversation, Bob Lindquist, Data & AI Partner Leader at AWS, sat down with Eric Miller, CTO at ClearScale, and Sanjay Marya, Director of Global Sales at ClearScale, to unpack what it really takes to move GenAI into production, and how other organizations are doing the same.
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