2024年IT行业展望报告.docx

"rendstoWatch2024GovernanceBecomesTech Providers Use Al to Run Bettera Focal Point forCybersecurity and DataOperationsBeyond-the-BasicsCybersecurityBecomes a ChannelSkills Imperative4Businesses21Al Hype Fades, but WorkflowsContinueEvolvingCompanies Pursue Every Age Cohort for Staff, CustomersOrganizations Practice Skills- Based Career Transparency8Productivity is theCloud Architecture Accelerates Solution Complexity6IT Distributors Burnish Role as Online Marketplace for B2B7Marketing Has Its Moment as an IT Business DifferentiatorDriverforDigitalTransformationIt's hard to believe CompTIA,s IT Industry Outlook 2023 didn't mention generative Al-that report was released the week before ChatGPT launched. In the time since then,hardly a day has passed without a news story speculating on the changes Al will bring or announcing even more capable products and features.The hype cycle has been as intense as any trend in recent memory,and for good reason ;large language model (LLM)algorithms are producing output that would have been in the realm of science fiction just a few years ago and raising questions about the future of work.As with all technology trends,the initial hype around generative Al will likely wane in 2024 for a variety of reasons.The first products,while amazing,are not standalone business solutions outside a few select cases.The data needed to properly train an LLM is in short supply at most organizations.The challenges in dealing with probabilistic output are just beginningto surface.Most companies will have to take a step back to build the proper prerequisites for modern Al operations,but that doesn't mean that exploration and pilot programs will grind to a halt.Along with new standalone products,a wide range of business applications will begin to incorporate Al as a feature. As this happens,companies will address Al skill gaps among the workers using these applications. The end result will be workflow evolution,using Al to handle routine tasks or accelerate automation while reimagining the roles and responsibilities of employees.This early stage of workflow evolution may not make as many headlines as the introduction of generative Al,but it will likely set the stage for a full workplace revolution in the years and decades to come.History shows that new technology can have far-reaching effects1and the potential of Al layered on top of modern digital operations is likely to drive significant economic disruption.AlHypeFades,butWorkflowsContinueEvolvingAviewofthecurrentadoptionpatternsandfutureinvestmentplansaroundAlsuggestsadisconnectbetweenhypeandreality.Justover20%offirmssurveyedareaggressivelypursuingintegrationofAlacrossawidevarietyoftechnologyproductsandbusinessworkflows.Itisreasonabletoassumethatthosecutting-edgeorganizationsrepresentthebulkofthegroupthatexpectstosignificantlyincreaseAlinvestmentnextyear,sowhileoverallinvestmentisscheduledforanincrease,thatmaynotdramaticallychangetheadoptioncurve.CurrentAlEffortsandFutureInvestmentExploration45%Source:CompTlAITIndustryOutlook2024survey!n=513U.S.techprofessionalsHesitationinadoptionmaystemfromthechallengesbeingencounteredbyearlyadopters.ThetopchallengeforAl,whetherthatchallengecomesfromearlyexperienceorsimplyexpectationsaroundimplementation,isaroundcost.Therearetwocoststoconsider-thecostofupgradingapplications(citedby39%)andthecostofbuildingoutinfrastructure(37%).Itmaybedifficultforthoseholdingthebudgettounderstandtheinvestmentneededtoproducetoolsavailableonwebsitesthatarefree(fornow).ItalsomaybedifficulttofullyunderstandthedataneededtoproperlytrainAl.Overonethird(36%)offirmssurveyedsaythatcollectingandpreparingthedatasetsneededforinputintoAlalgorithmsisamajorchallenge.Thisechoestheexperienceofcompaniesthataggressivelypursueddataanalyticsoverthepastfiveyears-asolidfoundationindatamanagementanddataclassificationisaprerequisiteforadvanceddataactivities.Evenwithallthechallenges,thebenefitscompanieshopetorealizewillmaketheAleffortworthwhileinthelongrun.Manycompaniesexpecttounlockahigherdegreeofautomation,whetherinIToperations(52%offirms)orbusinessworkflow(46%).Reducingthetimespentonroutinetasksisanothertopbenefit,with49%ofcompaniesexpectingAltoimproveefficiencyinthisarea.Finally,Alisexpectedtohelpacceleratedataoperations,with44%ofbusinessesanticipatingdeeperanalysisofdataand33%hopingfornovelinsightstobesuggestedbyAltools.TechProvidersUseAltoWhile the Al market is indeed one huge hype-a-palooza today, there is almost certainly going to be ripe revenue opportunity for MSPs and other tech channel providers to cash in.That said,most would agree that,today,the average channel firm is still in the tinkering and discovery phase with generative Al-at least when it comes to actively selling solutions to customers,making vendor selections, assessing skills,etc.While that work is revving up, the more immediate benefits will come from applying new Al capabilities internall