生成式AI档案：六大行业的高影响力用例精选

About the Deloitte AI InstituteThe Deloitte AI Institute™helps organizations connect all the different dimensionsof the robust, highly dynamic, and rapidly evolving Artificial Intelligence ecosystem.The AI Institute leads conversations on applied AI innovation across industries, withcutting-edge insights,to promote human-machine collaboration in the “Age of With™.”The Deloitte AI Institute aims to promote the dialogue and development of AI,stimulate innovation, and examine challenges to AI implementation and waysto address them. The AI Institute collaborates with an ecosystem composed ofacademic research groups, start-ups, entrepreneurs, innovators, mature AI productleaders, and AI visionaries to explore key areas of artificial intelligence including risks,policies, ethics, the future of work and talent, and applied AI use cases. Combinedwith Deloitte’s deep knowledge and experience in artificial intelligence applications,the Institute helps make sense of this complex ecosystem, and as a result, deliversimpactful perspectives to help organizations succeed by making informed AI decisions.No matter what stage of the AI journey you are in: whether you are a board memberor a C-Suite leader driving strategy for your organization—or a hands-on datascientist bringing an AI strategy to life—the Deloitte AI Institute can help you learnmore about how enterprises across the world are leveraging AI for a competitiveadvantage. Visit us at the Deloitte AI Institute for a full body of our work, subscribeto our podcasts and newsletter, and join us at our meet-ups and live events. Let’sexplore the future of AI together.www.deloitte.com/us/AIInstitute The advent of Generative AI has delighted and surprised the world, throwing open thedoor to AI capabilities once thought to be still far off in our future. With a remarkablecapacity to consume and generate novel outputs, Generative AI is prompting excitementand stimulating ideas around how this type of AI can be used for organizational benefit.Far more than a sophisticated chatbot, Generative AI has the potential to unleashinnovation, permit new ways of working, amplify other AI systems and technologies, andtransform enterprises across every industry.This compendium highlights 60 of the most compelling use cases for Generative AI acrosssix major industries:•Consumer(which includes Consumer Products, Retail, Automotive, Lodging,Restaurants, Travel, and Transportation)•Energy, Resources, and Industrial(ER&I)•Financial Services(FSI)•Government & Public Services(GPS)•Life Sciences & Health Care(LSHC)•Technology, Media, and Telecommunications(TMT)For each of these industries, we explore Generative AI use cases that can addressenterprise challenges in new ways, permit more and greater capabilities across businessfunctions, and deliver advantages in efficiency, speed, scale, and capacity.Introduction As with any type of AI, there are potential risks. We use Deloitte’s Trustworthy AI™framework to elucidate factors that contribute to trust and ethics in Generative AIdeployments, as well as some of the steps that can promote governance and riskmitigation. Trustworthy AI in this respect is: fair and impartial, robust and reliable,transparent and explainable, safe and secure, accountable and responsible, andrespectful of privacy.To be sure, this collection of use cases is just a sample among myriad other applications,some of them yet to be conceived. As Generative AI matures as a technology andorganizations move forward with using it for business benefit, we will likely see even moreimpressive and compelling use cases. The applications highlighted here can help sparkideas, reveal value-driving deployments, and set organizations on a road to making themost valuable use of this powerful new technology.Nitin MittalGlobal GenerativeAI LeaderDeloitte Consulting LLPLynne SterrettUS Generative AI MarketActivation LeaderDeloitte Consulting LLPBeena AmmanathGlobal Deloitte AIInstitute LeaderDeloitte Consulting LLPJim RowanUS Head of AIDeloitte Consulting LLP Six key modalitiesTextWritten language outputspresented in an accessibletone and quality, withdetails and complexityaligned with the user’sneeds.Examples includesummarizing documents,writing customer-facingmaterials, and explainingcomplex topics in naturallanguage.CodeComputer code in avariety of programminglanguages with thecapacity to autonomouslysummarize, document,and annotate the code forhuman developers.Examples includegenerating code fromnatural languagedescriptions andautonomously maintainingcode across differentplatforms.One of the primary differences between more traditional AI and Generative AI is that the latter can create novel output that appears to be generated by humans. Thecoherent writing and hyper-realistic images that have captured public and business interest are examples of Generative AI models outputting data in ways once onlypossible with human thought, creativity, and effort. Today, Generative AI models can create ou