《AlphaSense：2024生成式AI的影響研究報告：革新研究與產業轉型（英文版）（18頁）.pdf》由會員分享，可在線閱讀，更多相關《AlphaSense：2024生成式AI的影響研究報告：革新研究與產業轉型（英文版）（18頁）.pdf（18頁珍藏版）》請在三個皮匠報告上搜索。

1、Generative AIs Impact:Revolutionizing Research&Transforming IndustriesBy Sarah HoffmanDirector of Research,AIWhats Inside1 Introduction2 CHAPTER 1 Consulting and Corporate Strategy 4 CHAPTER 2 Finance and Banking 6 CHAPTER 3 Healthcare9 CHAPTER 4Legal Services10 CHAPTER 5Technology12 CHAPTER 6Indust

2、rials 15 Whats Next?IntroductionThe World Economic Forum reports that 1.1 billion jobs are likely to be radically transformed by technology in the next decade,with generative AI leading the charge.The tech has already begun transforming industries and revolutionizing research tasks by offering new t

3、ools to surface insights,explore complex questions,and unlock innovation.Generative AIs flexibility,speed,and ability to personalize insights make it a valuable addition for researchers,complementing existing research tools and enhancing productivity across industries.Whether its with a consumer-gra

4、de tool like ChatGPT or AlphaSenses business-focused Generative Search,numerous researchersand othersare gravitating toward generative AI.Here are some industries where this technology is already driving meaningful advancements,both for research and beyond.1In consulting and corporate strategy,gener

5、ative AI is becoming indispensable,equipping teams with tools to analyze market trends,optimize strategic planning,and provide more data-driven guidance to clients.Consultants and strategy leaders can use generative AI tools processing vast amounts of data from internal and external sources to help

6、with:Scenario planning and forecastingGenerative AI models can simulate different market scenarios,enabling strategy teams and consultants to test“what if”conditions,forecast potential outcomes,and help clients make proactive decisions.While today most use cases for generative AI are still efficienc

7、y related,companies are beginning to recognize the potential to apply this technology in more strategic ways.According to a McKinsey survey,46%of CFOs plan to pursue using generative AI for cashflow optimization and 30%plan to pursue it for revenue forecasting.Operational and product innovation By a

8、nalyzing consumer trends,operational data,and emerging technologies,AI helps consultants and strategy teams advise on product innovation,process improvements,and business growth opportunities tailored to specific industries.For example,Bentley Systems,a construction CHAPTER 1Consulting and Corporate

9、 Strategy Generative AI models can simulate different market scenarios,enabling strategy teams and consultants to test“what if”conditions.2software company,uses generative AI to create schematics that help architects design buildings in less time.These tools also simulate how changes would impact th

10、e infrastructures real-world performance.Market and competitive analysisAI can analyze news,financial reports,and industry data to provide real-time insights on market trends and competitor activities,allowing consultants and corporate strategists to identify opportunities and threats quickly.As sho

11、wn in the AlphaSense Generative Search query below,generative AI prompts like“Create a SWOT analysis for iRobots Roomba”can help consultants quickly generate comprehensive competitive analyses.AI can analyze news,financial reports,and industry data to provide real-time insights on market trends and

12、competitor activities.3AI models can analyze transactions in real time,identifying fraudulent activity faster and more accurately than traditional methods.In the financial services sector,43%of companies are already using generative AI in their organizations,and its expected that financial instituti

13、ons will double their spending on AI by 2027.Some areas of exploration:Fraud detection and prevention AI models can analyze transactions in real time,identifying fraudulent activity faster and more accurately than traditional methods.For example,Mastercard is deploying generative AI to better predic

14、t and double the speed of detecting compromised cards.Algorithmic trading and risk managementGenerative AI can analyze market trends,generate trading algorithms,and assist in portfolio management by predicting stock movements,giving financial institutions a competitive edge in decision-making.Two Si

15、gma and Citadel Investment Group use generative AI for this purpose,developing sophisticated trading strategies that capitalize on market inefficiencies and anomalies.Streamlined data analysis for investment decisionsGenerative AI can sift through vast amounts of financial data,news,reports,and mark

16、et signals,helping investors identify key trends and make more informed decisions.Investors can ask questions like,“What are experts saying about Meta?”,“How do investor opinions differ when it comes to AI?”,or CHAPTER 2Finance and Banking4Generative AI can sift through vast amounts of financial dat

17、a,news,reports,and market signals,helping investors identify key trends and make more informed decisions.“How does automotive demand impact semiconductors right now?”On the AlphaSense platform(see example below),our AI capabilities are layered over premium,vetted content so that users can surface in

18、formation quickly while also having peace of mind that the insights are trustworthy and reliable.And the format doesnt need to yield paragraphs of text.For instance,AlphaSenses GenGrid enables users to query documents and get results returned in a tabular format,making it easy for users to quickly s

19、can and compare the requested information across many companies.5According to a recent McKinsey survey,more than 70%of respondents from healthcare organizations say they are pursuing or have already implemented generative AI capabilities.Generative AI is poised to significantly transform multiple fa

20、cets of the healthcare sector.Clinical productivityOver half of healthcare providers report that excessive documentation is one of the factors contributing to burnout.Yet that may change with greater incorporation of generative AI.A recent survey found that one in five doctors use AI for daily tasks

21、 like writing letters for their patients,and 29%of these doctors have used it to generate documentation after patient appointments.In addition,about 15,000 doctors and assistants at more than 150 health systems recently began using a new AI feature in MyChart to draft replies to patient messages.Dru

22、g discovery AI is poised to reshape the drug development market,with an estimated total addressable market of around$50 billion for AI-enabled drug development.Generative AI models simulate the effects of different compounds,dramatically reducing the time and cost of discovering new drugs.As of Dece

23、mber 2023,around 70 drugs developed with assistance from generative AI were in clinical trials.CHAPTER 3HealthcareA recent survey found that one in five doctors use AI for daily tasks like writing letters for their patients,and 29%of these doctors have used it to generate documentation after patient

24、 appointments.6Generative AI accelerates healthcare research by analyzing large datasets and synthesizing information on emerging treatments and therapies.Diagnostics and treatment plansResearchers are developing generative AI models to enhance the quality of medical images,such as MRI scans.Further

25、more,a recent survey reported that 28%of the 20%of doctors that use generative AI tools at work have used it to suggest different diagnoses and a quarter of them said they have used AI to suggest treatment options.Mental health Generative AI is also reshaping mental health services by offering 24/7

26、support through AI-based chatbots,such as Woebot and even ChatGPT.AI can also assist therapists by providing personalized therapy plans and analyzing patient data to detect early signs of mental health issues.One example is Upheal,which runs in a therapists browser or mobile device and listens to se

27、ssions,records session notes,and even suggests treatment plans.Woebots platform also collects patient-reported data and helps providers determine treatment plans.Research advancements Generative AI accelerates healthcare research by analyzing large datasets and synthesizing information on emerging t

28、reatments and therapies.For example,AI can generate comprehensive overviews on complex topics like the use of ketamine for treatment-resistant depression,as shown in the Generative Search query below,helping researchers,clinicians,and policymakers quickly access the latest findings,clinical trial da

29、ta,and efficacy insights.78Generative AI can help law firms and corporate legal departments increase efficiency,reduce costs,and focus on more strategic legal work.According to a recent survey,41%of law firms and corporate legal teams are considering using generative AI,up from 30%in 2023,with the p

30、otential for increased efficiency fueling their interest.Document reviews AI can rapidly analyze and extract relevant information from large volumes of legal documents,such as contracts and case files,significantly reducing the time spent on manual document review.San Francisco-based startup EvenUp

31、uses AI to assist personal injury lawyers in compiling claims from medical documents and case files,streamlining the preparation process and improving legal efficiency.Another tool,Bloomberg Law Answers,generates brief answers to searches using generative AI in combination with relevant legal docume

32、nts,including court opinions,practical guidance documents,and sources like books and manuals.Contract generation Generative AI can draft legal contracts based on predefined parameters as well as identify inconsistencies and highlight potential legal risks,making contract management faster and more a

33、ccurate.According to a Thomson-Reuters survey of law firms,more than one-third of respondents who used or planned to use generative AI cited contract,brief,and memo drafting as potential use-cases.CHAPTER 4Legal ServicesGenerative AI can draft legal contracts based on predefined parameters as well a

34、s identify inconsistencies and highlight potential legal risks,making contract management faster and more accurate.9CHAPTER 5TechnologyGenerative AI is introducing a new era for the technology sector by reshaping software development processes,improving productivity,and enabling more effective resea

35、rch.According to a recent survey,69%of senior software professionals and 55%of junior software professionals report high levels of job satisfaction from using generative AI for software.In addition,organizations with active generative AI initiatives are seeing a 7%-18%improvement in productivity acr

36、oss the software development life cycle.Automated code generation and documentation Tools like GitHub Copilot and OpenAIs Codex can write code based on natural language descriptions,speeding up development by suggesting or completing code snippets.Organizations have seen an average of 9%time savings

37、 when using these technologies for code assistance and 10%when writing documentation.Debugging and testingGenerative AI is transforming debugging and testing by efficiently detecting bugs,vulnerabilities,and security flaws that manual reviews might miss.Over the next two years,its expected that gene

38、rative AI will augment 25%of debugging and testing tasks.Generative AI is transforming debugging and testing by efficiently detecting bugs,vulnerabilities,and security flaws that manual reviews might miss.10Optimized software design AI is also enhancing software design by analyzing existing codebase

39、s and user requirements to suggest optimized system architectures or automatically refactor legacy code,improving software performance and scalability.Its anticipated that within the next two years generative AI will augment 28%of software design work.Enabling research and innovation As weve seen wi

40、th other industries,Generative AI is a powerful tool for research.Its now assisting technology teams in exploring new algorithms and analyzing large datasets.AI can aid researchers in fields like quantum computing,cybersecurity,and network optimization by generating insights,enabling faster breakthr

41、oughs.For example,researchers can ask generative AI to“Explore recent breakthroughs in reinforcement learning algorithms and their applications in real-time decision-making systems.”AI can aid researchers in fields like quantum computing,cybersecurity,and network optimization by generating insights,

42、enabling faster breakthroughs.11CHAPTER 6Industrials Generative AI is evolving rapidly for industrials,reshaping everything from maintenance to supply chain management and product design.With the market size for AI in manufacturing projected to reach$695 billion by 2032,the adoption of generative AI

43、 is poised to accelerate advancements in both efficiency and innovation.Predictive maintenance Industrial facilities can use predictive maintenance tools to monitor factory equipment,ensuring optimal performance and scheduling maintenance only when necessary.In the aerospace sector,GE Aerospace part

44、nered with Microsoft to develop a generative AI-powered solution to improve access to aircraft maintenance records and reduce the time required for maintenance and repair workers to retrieve critical information.Supply chain management Generative AI is revolutionizing supply chain management in the

45、industrial sector by enabling smarter forecasting,improved logistics,and enhanced decision-making.AI-powered tools can simulate“what if”scenarios,such as supplier delays or increased raw material costs,allowing companies to adjust their strategies in real-time.Its estimated that by 2026,60%of Asias

46、top 2,000 companies will use generative AI tools to support core supply chain processes and dynamic supply chain design.A study of 300 supply chain and procurement decision-makers in the Industrial facilities can use predictive maintenance tools to monitor factory equipment,ensuring optimal performa

47、nce and scheduling maintenance only when necessary.12U.K.revealed that almost a quarter of U.K.businesses have deployed generative AI tools in procurement and supplier management in the last 12 months,with a further 55%either in the process of implementing or considering implementing the technology.

48、Inventory optimizations Generative AI is also redefining inventory management and vendor negotiations.A recent survey indicates that 68%of Canadian organizations are using generative AI for optimizing inventory levels.Some U.S.companies are using generative AI to negotiate cost and purchasing terms

49、with vendors in a shorter time frame,and 65%of vendors actually preferred negotiating with the bot.These tools can also be helpful to quickly extract information from large contracts and help companies better prepare for renewal discussions.Automated product designGenerative AI can rapidly generate

50、and evaluate numerous alternative designs based on predefined criteria,speeding up the innovation process.From creating new machinery components to optimizing tools for durability,efficiency,or cost-effectiveness,generative AI can streamline the design workflow.Industrial companies can leverage gene

51、rative AI to explore unconventional design possibilities,improve functionality,and respond to evolving market demands with greater speed.Hyundai,for example,used Autodesks generative design software to figure out how to efficiently make parts for new vehicle modalities,while General Motors used it t

52、o reduce the average weight of 14 vehicle models by more than 350 pounds.Advancing industrial researchResearchers in the industrial sector can stay up-to-date with the latest developments by using generative AI to quickly analyze and summarize vast amounts of scientific literature.This can help with

53、 the development of cutting-edge solutions,such as designing lighter and stronger components and Generative AI can rapidly generate and evaluate numerous alternative designs based on predefined criteria,speeding up the innovation process.13exploring new materials with unique properties.For example,r

54、esearchers in the aerospace sector might ask generative AI to“Analyze recent advancements in lightweight composite materials for aerospace applications,summarizing key findings from the last two years.Highlight potential applications and performance benefits.”14Whats Next?Looking ahead,many generati

55、ve AI proof-of-concept applications from 2024 will transition into full-scale production.With ongoing improvements in accuracy,affordability,and accessibility,generative AI is poised to move beyond experimental use and become a mainstream tool across industries.Generative AI will shift from being a

56、tool for mostly efficiency gains to delivering transformative strategic value.AI systems will also become more proactive,anticipating users needs and taking autonomous actions.Generative AI is more than a technological advancementits a paradigm shift poised to redefine the boundaries of whats possib

57、le across industries.Companies that embrace this stand to gain a competitive advantage through faster,more efficient processes,heightened creativity,and smarter decision-making.The industries and topics discussed here are just the beginning.Discover how you can enhance and transform your research pr

58、ocess with AlphaSenses industry-leading Generative Search.15About AlphaSense The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making.With market intelligence and search built on proven AI,AlphaSense delivers insights that matter from content you can trus

59、t.Our universe of public and private content includes equity research,company filings,event transcripts,expert calls,news,trade journals,and clients own research content.Our platform is trusted by over 4,000 enterprise customers,including a majority of the S&P 500.Founded in 2011,AlphaSense is headquartered in New York City with over 1,300 people across the globe and offices in the U.S.,U.K.,Finland,India,and Singapore.Learn More at Alpha-S16