凯捷:2024数据驱动创新回顾-生成式AI、数据平台和可持续发展驱动技术的变革潜力(英文版)(70页).pdf

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凯捷:2024数据驱动创新回顾-生成式AI、数据平台和可持续发展驱动技术的变革潜力(英文版)(70页).pdf

1、Wave 9Data-poweredInnovationReview Capgemini 2024.All rights reserved2ForewordLooking at the frozen spheres that grace the pages of this magazine,Im reminded of the delicate and balancing future of data and AI.Theres a fragile beauty in that stillness,yet incredible energy and potential exists benea

2、th the surface.The imagery resonates deeply with where we are today on the edge of something extraordinary but requiring careful thought and responsibility to navigate.This edition of the Data-powered Innovation Review explores the power of generative AI,data platforms,and other emerging technologie

3、s all of which have the potential to transform industries,optimize processes,and drive new avenues of growth.But we also face a profound challenge:How do we harness this power without allowing it to overrun the very systems that make our innovations possible?As much as were excited by what AI can do

4、,we should not ignore the financial and environmental costs that come with it.Niraj PariharChief Executive Officer,Insights and Data,CapgeminiTurning towards 2025,it is more important than ever to strike a balance between these seemingly competing forces.Readers will uncover many balancing acts in t

5、his edition.Combining the“hunches”of generative AI with the contextual,“symbolic”power of knowledge graphs,for example,but also a fascinating deep dive into how data and AI can create a thriving“blue economy”around the oceans while preserving and improving maritime life.And then theres the impact of

6、 generative AI on life sciences:transforming drug discovery and clinical trials but also prompting us to consider the environmental and ethical implications of how we scale this technology.Finally,theres the balancing act that data professionals have to face:leveraging AI and automation for the enti

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