Although they may show promise in concept, generative artificial intelligence (AI) projects often struggle when taken into production. Roadblocks may arise when companies try to scale their AI solutions from successful proof-of-concept (PoC) initiatives to fullscale deployments.
Often challenges start with the selection of a use case. When the right one isn’t identified, the initiative fails to deliver value. Then technical obstacles, skyrocketing costs, and complexity make expansion difficult or impossible, wiping out the solution’s potential return on investment (ROI), increasing its environmental impact, or both.
The key to overcoming these barriers lies in a new approach to scalability — one that scales generative AI projects in a way that’s both cost-effective and sustainable.
This white paper delves into the scalability dilemma, and offers strategies to overcome challenges for long-term, sustainable growth.
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