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印孚瑟斯(Infosys):2024年生命科学行业生成式AI雷达报告(中译版)(14页).pdf

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1、GENERATIVE AIRADARLIFE SCIENCES Generative AI Radar Life sciences|3External Document 2024 Infosys Limited Generative AI Radar Life sciencesGenerative AI is still new,yet enterprises are already exploring its transformative potentialThis year will bring further developments in generative AI as organi

2、zations get to grips with it.Through this study we aimed to uncover how companies use generative AI,how much they spend on it,how its rolled out in organizations large and small,and where it makes an impact.We looked at 3,000 companies across 12 industries:Automotive Consumer package goods Energy,mi

3、ning,and utilities Financial services Healthcare High tech Insurance Life sciences Logistics and supply chain Manufacturing Retail and hospitality TelecommunicationsMany companies told us they are already spending significant sums of money and are set to spend more this year.However,this pattern isn

4、t the same across sectors.In this data book we highlight how life sciences compares with the rest of the pack.4|Generative AI Radar Life sciences External Document 2024 Infosys Limited Generative AI spending growth is slowLife sciences generative AI spending projected to grow slower than most indust

5、ries this yearLife sciences spending set to grow 36%in 2024 Life sciences firmsspent$470 million on generative AI in 2023.This is projected to grow to$637 million in 2024.This ranks life sciences among lowest spending sectors,about the same as telecommunications.Life sciences generative AI spendingE

6、xpected generative AI spending growth by industrySpending in millions($USD)2023202436%Reported spendExpected spend0200400600800$470$637TelecommunicationsRetail and hospitalityManufacturingLogistics and supply chainLife sciencesInsuranceHigh techHealthcareFinancial servicesEnergy,mining,and utilities

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本文是关于生成式人工智能(Generative AI)在生命科学领域的应用和发展趋势的研究报告。报告指出,尽管生成式AI仍处于起步阶段,但企业已经开始探索其在转型中的潜力。今年,随着组织对生成式AI的掌握,将进一步发展。在12个行业中,生命科学领域的生成式AI支出预计将在2024年增长36%,达到637亿美元。尽管这一增长速度低于其他行业,如电信业,但生命科学领域的公司仍在积极采用生成式AI,超过三分之一的公司已经开始实施相关解决方案,而另有三分之一尚未开始。隐私和安全是生命科学领域采用生成式AI的主要障碍,而与其他行业相比,生命科学公司对伦理和公平性的担忧较少。此外,生命科学公司对自己的生成式AI管理能力和员工准备情况信心不足。报告还发现,生命科学领域的公司仍在确定谁将主导生成式AI的实施。
"生命科学领域如何利用生成式AI?" "生成式AI在生命科学领域的支出前景如何?" "生命科学行业对生成式AI的接受程度和挑战是什么?"
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