40% AI公司没用任何AI技术-MMC Ventures-2019.2-151页.pdf

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1、Explore our companion document The AI Playbook,for a step-by-step guide to taking advantage of AI in your startup,scale-up or enterprise.MMC VenturesMMC Ventures is a research-led venture capital firm that has backed over 60 early-stage,high-growth technology companies since 2000.MMCs dedicated rese

2、arch team provides the Firm with a deep and differentiated understanding of emerging technologies and sector dynamics to identify attractive investment opportunities.MMCs research team also supports portfolio companies through the life of MMCs investment.MMC helps to catalyse the growth of enterpris

3、e software and consumer internet companies that have the potential to disrupt large markets.The Firm has one of the largest software-as-a-service(SaaS)portfolios in Europe,with recent exits including CloudSense,Invenias and NewVoiceMedia.MMCs dynamic consumer portfolio includes Bloom&Wild,Gousto and

4、 Interactive Investor.MMC Ventures ResearchDavid Kelnar Partner&Head of ResearchAsen Kostadinov,CFA Research ManagerExplore MMCs cutting-edge research at ,MMC Writes( MMC_Ventures on MMC_VenturesBarclays UK VenturesBarclays UK(BUK)Ventures is a specialist business unit within Barclays with an indepe

5、ndent mandate to deliver new customer experiences at pace and scale driving growth for communities,businesses and Barclays.BUK Ventures identifies,incubates and scales transformational new business lines and business models both within and outside of Barclays through organic build-out,commercial par

6、tnerships and venture investments.BUK Ventures comprises a strong team of intrapreneurs,including Eagle Labs,who work to create thriving communities with the aim of connecting businesses of all sizes to the networks they need to succeed.www.home.barclays2 Introduction 6 Summary Part 1:The Age of AI1

7、6 Chapter 1 What is AI?Modern Artificial Intelligence(AI)machine learning enables software to perform difficult tasks more effectively by learning through training instead of following sets of rules.Deep learning,a subset of machine learning,is delivering breakthrough results in fields including com

8、puter vision and language processing.28 Chapter 2 Why is AI important?AI is important because,for the first time,traditionally human capabilities can be undertaken in software inexpensively and at scale.AI can be applied to every sector to enable new possibilities and efficiencies.40 Chapter 3 Why h

9、as AI come of age?Specialised hardware,availability of training data,new algorithms and increased investment,among other factors,have enabled an inflection point in AI capability.After seven false dawns since the 1950s,AI technology has come of age.Part 2:The State of AI50 Chapter 4 The race for ado

10、ptionAI may be the fastest paradigm shift in technology history.Increasing adoption masks a growing divergence,among nations and within industries,between leaders and laggards.66 Chapter 5 The advance of technologyAdvances in AI technology are creating new possibilities.Custom silicon is enabling a

11、new generation of AI hardware.Emerging software techniques are delivering breakthroughs in multiple domains and decoupling progress from the constraints of human experience.82 Chapter 6 The war for talentWhile demand for AI professionals exceeds supply,winners and losers are emerging in the war for

12、talent.Part 3:The AI Disruptors96 Chapter 7 Europes AI startupsThe landscape for entrepreneurs is changing.Europes 1,600 AI startups are maturing,bringing creative destruction to new industries,and navigating new opportunities and challenges.While the UK is the powerhouse of European AI,Germany and

13、France may extend their influence.Part 4:Our AI Future132 Chapter 8 The implications of AIAI will have profound implications for companies and societies.AI will reshape sector value chains,enable new business models and accelerate cycles of creative destruction.While offering societies numerous bene

14、fits,AI poses risks of job displacement,increased inequality and the erosion of trust.Contents1The State of AI 2019:DivergenceIntroductionThe State of AI 2019:DivergenceAs Artificial Intelligence(AI)proliferates,a divide is emerging.Between nations and within industries,winners and losers are emergi

15、ng in the race for adoption,the war for talent and the competition for value creation.The landscape for entrepreneurs is also changing.Europes ecosystem of 1,600 AI startups is maturing and bringing creative destruction to new industries.While the UK is the powerhouse of European AI,hubs in Germany

16、and France are thriving and may extend their influence in the decade ahead.As new AI hardware and software make the impossible inevitable,we also face divergent futures.AI offers profound benefits but poses significant risks.Which future will we choose?Our State of AI report for 2019 empowers entrep

17、reneurs,corporate executives,investors and policy-makers.While jargon-free,our Report draws on unique data and 400 discussions with ecosystem participants to go beyond the hype and explain the reality of AI today,what is to come and how to take advantage.Every chapter includes actionable recommendat

18、ions.Part 1:The Age of AIWe provide an accessible introduction to AI and its applications.AI is a way for software to perform difficult tasks more effectively,by learning through practice instead of following rules.AI is important because,for the first time,traditionally human capabilities can be un

19、dertaken in software efficiently,inexpensively and at scale.AI capability has reached an inflection point.After seven false dawns since the 1950s,AI technology has come of age.AI has numerous,tangible use cases.We describe 31 across eight industries and highlight why some industries will be affected

20、 more than others.“The future is already here its just unevenly distributed.”William GibsonFor the first time,traditionally human capabilities can be undertaken in software efficiently,inexpensively and at scale.Winners and losers are emerging in the race for adoption,the war for talent and the comp

21、etition for value creation.David KelnarReport authorPartner&Head of ResearchMMC Ventures2The State of AI 2019:DivergencePart 2:The State of AIWe explain the state of AI adoption,technology and talent in 2019.Adoption of AI has tripled in 12 months;AI may be the fastest paradigm shift in technology h

22、istory.Increasing adoption masks a growing divergence between leaders and laggards.Globally,China leads the race for AI adoption,while sector adoption of AI is uneven and in a state of flux.Advances in AI technology are creating new possibilities.Custom silicon is enabling a new generation of AI har

23、dware.Emerging software techniques,including reinforcement learning and transfer learning,are delivering breakthroughs in multiple domains and freeing system design from the constraints of human experience.New,generative AI will reshape media and society.Demand for AI talent has doubled in 24 months

24、.Talent,while increasing,remains in short supply with two roles available for every AI professional.Technology and financial service companies are absorbing 60%of AI talent and causing a brain drain from academia.Companies can better attract talent by re-aligning opportunities to professionals motiv

25、ations.Part 3:The AI DisruptorsDrawing on unique analysis,we explore the dynamics of Europes AI startups.Europe is home to 1,600 AI startups.AI entrepreneurship is becoming mainstream;one in 12 new startups put AI at the heart of their value proposition.Europes AI ecosystem is maturing;one in six co

26、mpanies is a growth-stage company.Expect competition,exits and the recycling of capital and talent.The UK is the powerhouse of European AI,with a third of the Continents startups,but Germany and France are flourishing hubs and may extend their influence in the decade ahead.Healthcare is a focal poin

27、t for AI entrepreneurship.Activity is thriving given new,transformational opportunities for process automation through AI,and stakeholder engagement.Competition for talent,the limited availability of training data,and the difficulty of creating production-ready technology are entrepreneurs key chall

28、enges.AI may be the fastest paradigm shift in technology history.Increasing adoption masks a growing divergence between leaders and laggards.The UK is the powerhouse of European AI,but Germany and France may extend their influence.Continued overleaf3IntroductionGet in touchAt MMC Ventures,AI is a co

29、re area of research,conviction and investment.In the last 24 months weve made 20 investments,comprising 50%of the capital we have invested,into many of the UKs most promising AI companies.If youre an early stage AI company,get in touch to see how we can accelerate your Part 4:Our AI FutureWe explain

30、 AIs profound implications for companies and societies in the decade ahead.AI will broaden participation in markets,cause shifts in sector value chains and accelerate cycles of innovation and creative destruction.AI will disrupt business models,require new corporate competencies and change companies

31、 competitive positioning.AI offers societies significant benefits and risks.AI will transform healthcare,broaden access to goods and services,and increase industrial and agricultural productivity.However,automation may displace jobs while biased AI systems increase inequality.AI will enable the high

32、-tech surveillance state,while autonomous weapons could increase conflict between nations.AI will disrupt business models,require new corporate competencies and change companies competitive positioning.AI offers societies significant benefits and risks.At MMC,AI is a core area of investment.Get in t

33、ouch to see how we can accelerate your journey.4The State of AI 2019:DivergenceBarclaysBarclays is delighted to partner with MMC Ventures for The State of AI 2019.Developments in AI are transforming business and society,changing how we live and work.We believe everyone should benefit from these chan

34、ges.Were committed to ensuring that new technologies are responsibly designed and accessible to all.AI can enhance our customers experiences,improve our operational processes and keep our customers safe.Our collaborations with universities,startups and enterprises help us support the latest innovati

35、ons.Our AI Frenzy events have united 4,500 AI academics,practitioners,experts and anyone with an interest in AI,while our community of AI Eagles teach colleagues,customers and local communities about AI.Through our national network of Eagle Labs,we offer access to technologies delivering Industry 4.

36、0 the fourth industrial revolution.Get in touch if you would like to be part of our AI journey.Find out more at labs.uk.barclays/ai.Steven Roberts Chief Scientific AdviserBarclays UK Ventures5IntroductionChapter 1:What is AI?AI is a general term that refers to hardware or software that exhibit behav

37、iour which appears intelligent.Basic AI has existed since the 1950s,via rules-based programs that display rudimentary intelligence in limited contexts.Early forms of AI included expert systems designed to mimic human specialists.Rules-based systems are limited.Many real-world challenges,from making

38、medical diagnoses to recognising objects in images,are too complex or subtle to be solved by programs that follow sets of rules written by people.Excitement regarding modern AI relates to a set of techniques called machine learning,where advances have been rapid and significant.Machine learning is a

39、 sub-set of AI.All machine learning is AI,but not all AI is machine learning.Machine learning enables programs to learn through training,instead of being programmed with rules.By processing training data,machine learning systems provide results that improve with experience.Machine learning can be ap

40、plied to a wide variety of prediction and optimisation challenges,from determining the probability of a credit card transaction being fraudulent to predicting when an industrial asset is likely to fail.There are more than 15 approaches to machine learning.Popular methodologies include random forests

41、,Bayesian networks and support vector machines.Deep learning is a subset of machine learning that is delivering breakthrough results in fields including computer vision and language.All deep learning is machine learning,but not all machine learning is deep learning.Deep learning emulates the way ani

42、mals brains learn subtle tasks it models the brain,not the world.Networks of artificial neurons process input data to extract features and optimise variables relevant to a problem,with results improving through training.The Evolution of AI:Deep learning19551960196519701975198019851990199520002005201

43、020152020Artificial IntelligenceMachine learning(ML)Deep learning(DL)Source:MMC Ventures6The State of AI 2019:DivergenceSummaryExcitement regarding modern AI relates to a set of techniques called machine learning,where advances have been rapid and significant.See page 18 for recommendationsSectorAss

44、etManagementInvestmentstrategyPortfolioconstructionRiskmanagementClientserviceCore use cases:Case lawDiscovery anddue diligenceLitigationstrategyComplianceLaw&complianceDiagnosticsDrug discoveryMonitoringHealthcareRiskassessmentClaimsprocessingFrauddetectionCustomerserviceInsurancePredictivemaintena

45、nceAssetperformanceUtilityoptimisationManufacturingAutonomousvehicles InfrastructureoptimisationFleetmanagement ControlapplicationsTransportCustomersegmentationContentpersonalisationPriceoptimisationChurnpredictionRetailSupplymanagementDemandoptimisationSecurityCustomerexperienceUtilitiesSource:MMC

46、VenturesChapter 2:Why is AI important?AI technology is important because it enables human capabilities understanding,reasoning,planning,communication and perception to be undertaken by software increasingly effectively,efficiently and at low cost.General analytical tasks,including finding patterns i

47、n data,that have been performed by software for many years can also be performed more effectively using AI.The automation of these abilities creates new opportunities in most business sectors and consumer applications.Significant new products,services and capabilities enabled by AI include autonomou

48、s vehicles,automated medical diagnosis,voice input for human-computer interaction,intelligent agents,automated data synthesis and enhanced decision-making.AI has numerous,tangible use cases today that are enabling corporate revenue growth and cost savings in existing sectors.Applications will be mos

49、t numerous in sectors in which a large proportion of time is spent collecting and synthesising data:financial services,retail and trade,professional services,manufacturing and healthcare.Applications of AI-powered computer vision will be particularly significant in the transport sector.Use cases are

50、 proliferating as AIs potential is understood.We describe 31 core use cases across eight sectors:asset management,healthcare,insurance,law&compliance,manufacturing,retail,transport and utilities.We illustrate how AI can be applied to multiple processes within a business function(human resources).7Su