Accelerate AI Innovation with Expert-led GenAI on AWS
Organizations planning to implement GenAI face significant challenges: limited internal AI expertise, unclear use cases, and the complexity of model selection. Technical hurdles include integrating with existing systems, meeting data privacy and compliance requirements, and ensuring data quality and availability.
Organizationally, teams struggle with unrealistic expectations, missing governance structures, and difficulties assessing ROI and business value. Without a structured approach, 95% of GenAI pilot projects fail, causing budget overruns and creating security gaps.
These obstacles prevent businesses from fully realizing the productivity gains, cost optimization, and innovation potential of AWS GenAI solutions.
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