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10min chapter
#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI
DataFramed
Current State and Challenges of Generative AI Adoption in Enterprises
This chapter delves into the current state of generative AI technology, exploring advancements, investment areas, and future directions. It also discusses the landscape of adoption in enterprises, highlighting the challenges surrounding data security, roles and responsibilities, and the slow procurement process. Three main challenges hindering adoption are identified, including the need for engineers to quickly grasp the technology, the requirement for applications to possess knowledge, and the importance of enterprise readiness to comply with regulations.
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