ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页

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ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页
ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页
ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页
ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页
ABIResearch2024生企业级生成式AI的机遇与挑战评估白皮书英文版23页
摘要:

www.abiresearch.comASSESSING ENTERPRISE GENERATIVE AI OPPORTUNITIES AND CHALLENGESReece Hayden, Senior AnalystINTRODUCTION ChatGPT’s release in 2022 is often compared to the “iPhone or smart-phone moment” for Artificial Intelligence (AI). This technology is now more accessible than ever for consumers and enterprises. Surrounded by a quickly developing Machine Learning (ML) ecosystem, foundation mod-els have revolutionized the speed and cost of deploying generative AI in enterprise applications. This offers significant opportunities, including cost cutting, process automation, and even revenue creation through the development of new/augmented services. ABI Research expects that gen-erative AI will add in excess of US$400 billion in value across enterprise verticals by 2030. However, opportunities may abound, but over the last 2 years, enterprise deployment has not accelerated as quickly as many would have expected. Demand and supply side challenges are both to blame. This whitepaper

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