《2024年IT行业展望报告.docx》由会员分享，可在线阅读，更多相关《2024年IT行业展望报告.docx（33页珍藏版）》请在第壹文秘上搜索。
1、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, CustomersOrganiza
2、tions 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 DifferentiatorDriverforDigitalTransformationIts hard to believe CompTIA,s IT In
3、dustry Outlook 2023 didnt 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 int
4、ense 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
5、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 beginn
6、ingto surface.Most companies will have to take a step back to build the proper prerequisites for modern Al operations,but that doesnt 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
7、 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
8、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 ope
9、rations is likely to drive significant economic disruption.AlHypeFades,butWorkflowsContinueEvolvingAviewofthecurrentadoptionpatternsandfutureinvestmentplansaroundAlsuggestsadisconnectbetweenhypeandreality.Justover20%offirmssurveyedareaggressivelypursuingintegrationofAlacrossawidevarietyoftechnologyp
10、roductsandbusinessworkflows.Itisreasonabletoassumethatthosecutting-edgeorganizationsrepresentthebulkofthegroupthatexpectstosignificantlyincreaseAlinvestmentnextyear,sowhileoverallinvestmentisscheduledforanincrease,thatmaynotdramaticallychangetheadoptioncurve.CurrentAlEffortsandFutureInvestmentExplor
11、ation45%Source:CompTlAITIndustryOutlook2024survey!n=513U.S.techprofessionalsHesitationinadoptionmaystemfromthechallengesbeingencounteredbyearlyadopters.ThetopchallengeforAl,whetherthatchallengecomesfromearlyexperienceorsimplyexpectationsaroundimplementation,isaroundcost.Therearetwocoststoconsider-th
12、ecostofupgradingapplications(citedby39%)andthecostofbuildingoutinfrastructure(37%).Itmaybedifficultforthoseholdingthebudgettounderstandtheinvestmentneededtoproducetoolsavailableonwebsitesthatarefree(fornow).ItalsomaybedifficulttofullyunderstandthedataneededtoproperlytrainAl.Overonethird(36%)offirmss
13、urveyedsaythatcollectingandpreparingthedatasetsneededforinputintoAlalgorithmsisamajorchallenge.Thisechoestheexperienceofcompaniesthataggressivelypursueddataanalyticsoverthepastfiveyears-asolidfoundationindatamanagementanddataclassificationisaprerequisiteforadvanceddataactivities.Evenwithallthechalle
14、nges,thebenefitscompanieshopetorealizewillmaketheAleffortworthwhileinthelongrun.Manycompaniesexpecttounlockahigherdegreeofautomation,whetherinIToperations(52%offirms)orbusinessworkflow(46%).Reducingthetimespentonroutinetasksisanothertopbenefit,with49%ofcompaniesexpectingAltoimproveefficiencyinthisar
15、ea.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
16、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
