Listen "Best of LinkedIn: Artificial Intelligence CW 27/ 28"
Episode Synopsis
We curate most relevant posts about Artificial Intelligence on LinkedIn and regularly share key takeaways
This edition discusses the accelerating evolution and diverse applications of Artificial Intelligence (AI), particularly focusing on Agentic AI and Generative AI. Several authors define Agentic AI as systems capable of autonomous planning, decision-making, and execution of complex, multi-step goals, moving beyond simple task automation. Examples range from streamlining recruitment and optimising business processes to transforming customer experience and drug discovery. The sources also highlight the strategic implications of AI adoption, including the need for ethical frameworks, data governance, and upskilling human workforces to effectively collaborate with AI. Furthermore, there's a growing emphasis on Sovereign AI and on-premise infrastructure for greater control and cost efficiency, especially for critical enterprise workloads. Concerns regarding societal readiness for rapid AI advancement and the importance of distinguishing between AI hype and practical applications are also discussed.
This podcast was created via Google NotebookLM.
This edition discusses the accelerating evolution and diverse applications of Artificial Intelligence (AI), particularly focusing on Agentic AI and Generative AI. Several authors define Agentic AI as systems capable of autonomous planning, decision-making, and execution of complex, multi-step goals, moving beyond simple task automation. Examples range from streamlining recruitment and optimising business processes to transforming customer experience and drug discovery. The sources also highlight the strategic implications of AI adoption, including the need for ethical frameworks, data governance, and upskilling human workforces to effectively collaborate with AI. Furthermore, there's a growing emphasis on Sovereign AI and on-premise infrastructure for greater control and cost efficiency, especially for critical enterprise workloads. Concerns regarding societal readiness for rapid AI advancement and the importance of distinguishing between AI hype and practical applications are also discussed.
This podcast was created via Google NotebookLM.
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