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Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue
Sam Altman, CEO of OpenAI, reflects on the journey of creating next-gen AI technologies. From launching ChatGPT to advancing with GPT-4o, o1 and beyond, he shares the challenges, lessons, and gratitude that have shaped OpenAI. His calm yet profound perspective highlights navigating change and working toward a future that benefits humanity. We are now confident […] The post Sam Altman’s Reflection: From ChatGPT to AGI appeared first on Analytics Vidhya.
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