




"The goal of AI is not to replace humans, but to empower them."


"The goal of AI is not to replace humans, but to empower them."
Intoday'srapidlychangingdigitalera,dataleadershipandartificial
intelligence(AI)arenotonlytransformingbusiness—they'rebuilding itsfuture.Thecombinationofintelligenttechnologyanddatais revolutionizingindustries,drivinginnovation,personalization,andefficiency onanunprecedentedlevel.
LeadingthechargeareAIanddataleaders,visionarieswhochartcomplex technologicalwaters.Theyknowthatsuccesstodayhingesondata-driven insights,notintuition.Real-timedata,analyzedbyadaptiveAIsystems, fuelstheseinsights,poweringpredictiveanalytics,automation,and personalizedexperiencesinindustriessuchasretail,healthcare,andfinance.
Firmsthatapplythisknowledgebecomecompetitive.AIallowsretailersto providecustomizedshopping,doctorstodiagnosequicker,andbanksto identifyfraudinrealtime.Drivingtheseinnovationsareexecutiveswho alignbusinessstrategywithdatastrategy.
Still,AIleadershavepitfallssuchasdataprivacy,ethicaluseofAI,and minimizingbias.WhattheydecidewillshapewhetherAIcreates inclusionorexacerbatesinequities.
Ascompaniesneedtobemoreagileandresilient,thefutureforAIand dataleaderswillbeevenbrighter.Innovativecompaniesarealready investingincross-functionalleaderswhobridgetechnologyand businessobjectives,settingthemselvesupforafutureinwhichdataisa driverofprogress.
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ArunMehta HeadofData Analytics&AI
DhruvalShah Headof GenerativeAI
DiMayze GlobalHeadof DataandAI
EdwardChallis HeadofAI Strategy
KarynaMihalevich AIStreamLead
KimMacaulay ChiefInformation andDataOfficer
MajaPantic GenerativeAI ResearchDirector
MasoodAlam ChiefDataArchitect
PeterGostev HeadofAI
SaharnazDilmaghani SeniorAssociatein ArtificialIntelligence &DataScience
FirstAbuDhabiBank (FAB) bankfab.com WPP wpp.com
ArunMehta,ChiefDataAnalyticsOfficeratFirstAbuDhabi Bank,leadsdatastrategyandAIinitiatives.He’sheldsenior rolesatHSBC,CreditSuisse,andRBS.
AT&TCybersecurity levelblue.com
DhruvalShahisaseasonedveteranwholeadsAT&T Cybersecuritywithinnovarionandmanydedicatedmaneuvers.
DiMayzeisChiefData&AIOfficeratMarks&Spencer, previouslyWPP'sGlobalHeadofData&AI.ShedroveWPP's dataculturetransformation,impacting50,000+employees.
UiPath uipath.com
CLARITY clarity.cx
InternationalAirTransport Association(IATA) iata.org
Meta meta.com
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Moonpig moonpig.com
PwCLU pwc.lu
Dr.EdwardChallis,HeadofAIStrategyatUiPath,leadsAI andcommunicationsmininginitiatives.HeholdsaPhDin MachineLearningfromUCLandhascontributedtotopAI journalsandconferences.
KarynaMihalevichistheAIStreamLeadatCLARITY,a consultingfirmspecializinginQuote-to-Cashsolutions.
KimMacaulayisChiefInformation&DataOfficeratIATA, overseeingITinfrastructure,cybersecurity,datagovernance, anddata-driveninitiativesfortheaviationindustrysince2020.
Dr.MajaPanticisGenerativeAIResearchDirectoratMeta sinceApril2023andaProfessoratImperialCollegeLondon, leadingthei·BUGgrouponhuman-centeredAIand multimodalbehavioranalysis.
MasoodAlamisanotedexpertinAI,dataarchitecture,and digitaltransformation.Hiseffortsarechangingthewaywe thinkaboutdataanditsconnectiontosmartdecision-making.
PeterGostevistheHeadofAIatMoonpig,specializingin generativeAIapplicationswithine-commerce.HeleadsAI strategy,focusingonautomation,personalization,and operationalefficiency.
Dr.SaharnazDilmaghaniisaSeniorAssociateinArtificial Intelligence&DataScienceatPwCLuxembourg.She specializesinresponsibleAI,focusingonethicalAI deploymentandcompliancewiththeEUAIAct.
“ I aim to create foundations for AI that is not only intelligent but also meaningful, understandable, and ethical.”
The21stcenturyhasseenfewtechnologiesshape
andtransformhumanlifeasfundamentallyas artificialintelligence(AI)has.Aprospectonce distantonthehorizonisnowdeeplyembeddedinourdaily lives,fromtargetedsuggestionsonstreamingwebsitesto instant-decisionaidsinhospitals.AI'sabilitytotransform industries—rangingfromhealthcareandfinanceto educationandgovernment—hasledexpertstonotonly lookatitscapabilities,buthowthesecapabilitiescanbe leveragedresponsibly,ethically,andeffectively.
LeadingthisrevolutionisMasoodAlam,anotedexpertin AI,dataarchitecture,anddigitaltransformation.Hisefforts arechangingthewaywethinkaboutdataandits connectiontosmartdecision-making.Whereasmanyinthe industryaresingle-mindedlyconcernedwiththepurely technicaldimensionsofAI,Alam'svisionisbroader, extendingbeyondalgorithmsandautomationtothehuman sideofAI—developingsystemsthatnotonlyworkbut resonatewithmeaningandrelevance.Hisconvictionthat AImustactforthesakeofhumanityandnotmerelyactas ameanstoanendhasmadehimathoughtleader,acoach, andanadvocateforbothintelligentandhumanesystems.
MasoodAlamisnotsimplyanarchitectofsystems—heis anarchitectofmeaning.HisAIvisiongoeswaybeyond collectingandprocessingdata.Rather,hesuggeststhat intelligenceisnottheresultofdataalone,butofmeaning thatcanbederivedfromdata.Hismetaphysicsstandsupon theconceptofrawdatabeinginadequateuntoitself.Itmust beorganizedandcomprehendedwithincontext.Thisis encapsulatedinhisseminalbookTheDataRevolutionII, wherehediscussesframeworksforexplainableAI, ontologies,andknowledgegraphs,contendingthat"datais raw,intelligencerequiresstructure,andmeaningisthe missinglayer."
Thisviewistransformingthewayorganizationsthinkabout AI,especiallywhenitcomestoethicalandpractical implications.Ratherthanmerelyinstallingalgorithms, Alam'sworkfocusesondevelopingsystemsthatcan reason,learn,andexplain.HebelievesinAIthatdoesnot silentlyoperateinthebackgroundbutcanpresentits reasoning,allowinguserstoseethroughwhattheyare doingandgaintrust.Thischangeiscriticaltothefutureof AI,wherecompanieswillhavetotransitionfrombeing simpledatapipelinestosystemsthatcomprehendthe underlyingcontextofinformationandareabletodeliver actionableinsightsthatdrivemeaningfulchange.
Alam'scareerisatestamenttohisstrongpassionfor enhancingsystemsusingAI.AsChiefData&AIArchitect, hehasspearheadedmanydigitaltransformationprojects, withanemphasisonlarge-scaleinitiativesthatinfuseAI intopublicservicesandcriticalinfrastructures.His experiencecutsacrossseveralindustries,suchas healthcare,government,andjustice,wherehehas developedtoolsthatnotonlyautomatebutalsofacilitate wiser,real-timedecision-making.
Forexample,Alam'sgrouphascreatedAI-drivenanalytics fornationalhealthsystems,producingreal-timedecision toolsthataidinemergencycareandpredictivemodelsfor populationhealth.Thesesystemsdirectlyaffectlives, enhancingtheeffectivenessofhealthcaredeliveryand ensuringthatcriticaldecisionsaremadeoncurrent, meaningfuldata.Inthesameway,Alam'simpactreaches intothepublicsector,wherehehasinfluencedcross-agency dataplatformsthatfocusonsafesharingofdata, interoperability,andethicalleadership.
Theseprojectsunderscoreoneoftheprimarythemesin Alam'swork:emphasisontangibleimpact.AI,tohim,is notatheoreticalnotionbutapracticalsolutionforsolving criticalissuesthataffectsociety.Hiscapacitytobringthe technicalintotherealmoftherealhasmadehimago-to advisorandoneoftheprominentvoicesinAIstrategy conversationsacrosstheworld.
MasoodAlamisnotjustatechexpertbutalsoanidea leaderwhobridgesthedividebetweenindustryand academia.HiscontributionsinAIareheavilyanchoredin academicprinciplesbutrootedinoperationalrealities.This blendingofintellectualfirepowerwithpracticalwisdomhas renderedhimavoiceofauthoritywithinthesector.Hehas madehimselffamousforexplainingsophisticatedAIideas toleaders,practitioners,andthegeneralpublic,making themawareofthepotentialandthelimitationsofAI systems.
Throughhiswriting,orations,andguidance,Alamhas definedtheconversationaboutAI.Hisbooks,TheData RevolutionandTheDataRevolutionII,aremust-readsfor thosewhowanttograsptherevolutionthatishappening withdataandAI.Thesearenotmeretechnicalmanuals;
“
I believe in AI that does not silently operate in the background but can present its reasoning.”
I am not simply an architect of systems—I am an architect of meaning.” “
theyareablueprintforleaderswhowanttonavigatethe newchallengesofdatagovernance,AIethics,anddigital transformation.
Alam'sskilltoturnabstractideasintoactionhasenabled himtoguidethefuturegenerationofAIprofessionalsso thatthefutureofAIwillbeinthehandsofpeoplewho believeintransparency,responsibility,andhuman-centered design.
OneofAlam'sfundamentalconvictionsisthatAIcanand mustbedevelopedwithhumantouch.Foryears,hehas preachedforresponsibleAIdesign,demandingnotjust efficientbutalsotransparent,ethical,andequitablesystems. InanagewhereAIdecision-makingismakingmoreand moredecisionsthatdeterminelives,fromjudicialverdicts tohealthcarediagnoses,itiscrucialthatsuchsystemsare capableofexplainingthereasonsbehindthemandactingin accountability
Alam'sethicalapproachtoAIisholistic,coveringthe incorporationofethicalvaluesinallaspectsofAI systems—rangingfromtechnicalframeworkstoleadership cultures.HebelievesinthedevelopmentofAIsystems rootedinexplainabilityandguidedbysoundethical standards.Hisresearchfocusesonshiftingawayfrom black-boxsolutionsforAI,promotinginsteadsystemsthat arenotonlypowerfulbutcomprehensibleandreliable.
ForAlam,thefutureofAIisaboutdevelopingsystemsthat arebothintelligentandhuman-valuesaligned.Hewould liketoseeaworldinwhichAIsystemscanprovide
explanationsfortheirchoices,dynamicallyadapttovarying contexts,andcollaboratewithhumanswithoutreplacing them.ThisisbasedonhisconvictionthatAIshould enhancehumancapabilitiesandsolvereal-worldproblems, ratherthancreatenewissuesorworsenexistingdisparities.
Inspiteofallhisachievements,Alamadmitstothe tremendouschallengesstillinthefieldofAI.Amongthe mostcriticalisthemismatchbetweendataavailabilityand usability.Companiesaregatheringmoredatathanever before,butfewareabletoderivemeaningfromit.The challengecomesfromdisjointedsystems,insufficient sharedmeaning,andinadequategovernancemechanisms, whichendupresultinginmistrustofthedataandlost innovationopportunities.
Anotherchallengeistheresponsibleinnovation.Although AIofferstremendouspotential,itneedstobeappliedina mannerthatistransparent,ethical,andfair.MostAI systemsaredevelopedwithoutenoughregardfortheir unforeseenimplications,whichmeanstherearerisks surroundingfairness,bias,andaccountability.Alam's researchaddressestheseissuesbycreatinginteroperable systemsthataresemanticallydense,ethicallyrobust,and abletoreasoninrealtime.
Inthefuture,AlamhopesforthepowerofAIto revolutionizeindustriesandbetterpeople'slives.He anticipatesthatinthenextdecade,theworldwillwitnessa transitionfrommachinesthatmerelygatherandprocess informationtomachinesthatactuallygraspit.The transitionwillbefacilitatedbydevelopmentsinsemantic AI,knowledgerepresentation,andreal-timereasoning, enablingAIsystemstoprocessinformationnotjustto understanditscontextandmeaning.
Alam'svisionisashifttowardscomposableplatforms, wherecompaniescanbuildAIcapabilitiesaccordingto theirrequirements.Theseplatformswillbebuiltaround interoperability,governance,andethics,makingtechnology notonlyadeliveryvehiclebutareliablecollaboratorin decision-making.
Inthefuture,AIwillbeafacilitatorofwiser,greener systemsthatservehumanvaluesandsocietalgood.Alam's
“
I am working towards creating a world where technology is not only a means but an assistance in decision-making.”
workisforgingthisfuture,buildingthefoundationsforAI thatisnotonlyintelligentbutalsomeaningful, understandable,andethical.
MasoodAlam'simpactonartificialintelligenceis revolutionary,notmerelyonthetechnologicallevelbutalso inthephilosophythatdriveshisresearch.Hisconceptionof AItranscendsautomationanddatahandling;it'sabout developingsystemscapableofreasoning,explaining,and servingmankind.Withhisworkasanadvocacyof responsibleAI,athinker,andaleader,Alamisworking towardscreatingaworldwheretechnologyisnotonlya meansbutanassistanceindecision-making,onewhose goalismeaningandwhosepathisguidedbyhumanvalues.
AsAIkeepsdeveloping,Alam'sworkremindsusthatthe realpowerofAIisnotinhowitcanprocessinformation butinhowitcanunderstand,learn,andactinwaysthat makeapositiveimpactonpeople'slives.Hisvisionfor ethical,transparent,andhuman-centeredAIwillinspirethe nextgenerationofleadersandinnovatorsinthefieldto ensurethattheAIsystemsofthefuturearenotjustsmarter butalsomorecompassionate,trustworthy,andattunedto theneedsofsociety.
ArtificialIntelligence(AI)israpidlytransforming
industries,becominganintegralpartofmodernbusiness strategy.Itenhancesoperationalefficiency,improves customerexperiences,andcreatesnewopportunitiesfor innovation.However,effectiveAIintegrationrequiresmorethan justadoptingnewtechnology—itdemandsathoughtful,strategic approachthatalignswithyourorganization'sgoalsandvalues. Here’showtoimplementAIeffectivelyinyourbusiness.
1.DefineClearBusinessObjectives
TheinitialstepindeployingAIistohaveclearbusiness objectives.AIneedstosolveidentifiedproblemsorexploitknown opportunitiesandnotbedoneforthesakeofnovelty Askyourself:
• Whatoperationsneedtobesolved?
• WherecanAIsavecostsorincreaseefficiency?
• HowcanAIenhancecustomerinteractionorcustomization?
• Isthereinsightavailablefromcurrentdata?
Bydefiningspecificgoals,youkeepyourAIprogramstiedto higherbusinessobjectivessuchasenhancingproductivity, customersatisfaction,orexpansion.
2.AssessOrganizationalMaturityandAvailabilityof Resources
Assesstheorganization'sreadinessforAIadoptionfirst.Successin AIhighlydependsonhavingproperdataqualityandavailability Essentialaspectstonoteare:
• Presenceofneat,well-storeddata
• Capacityforreal-timedataprocessing
• Gooddatagovernanceprocesses
Also,checkyourinfrastructureforAIsolutioncompatibility.Older systemsmaynotintegratesmoothly Also,seeifyourstaffhasthe skillstocreateandnurtureAImodels.Youmightneedtoacquire newstaff,trainexistingstaff,orcollaboratewiththird-party experts.Thisassessmentwillguideyourimplementationplanand resourceallocation.
Startwithsmall-scaleAIpilotsinordertoreduceriskand gainconfidence.Suchprojectsmustbe:
• Strategicallyalignedwithbusinessobjectives
• Viablewithcurrentinfrastructure
• Short-termmeasurement-valueexpected
SomeexamplesofpilotprojectsareAIchatbotsfor customersupport,predictiveanalyticsforinventory planning,ormachinelearningforpersonalizedmarketing. PilotsconfirmAIassumptions,validateROI,andprovide feedbackonscalingAIinitiatives.
4.EstablishorLeverageAICompetencies
Afterpilotprojectsprovesuccessful,thinkaboutscaling yourAIinitiative.Choicesare:
• Buildinginternalcapabilities:Itoffersgreatercontrol andtailoringbutentailssubstantialinvestmentin peopleandinfrastructure.
• Collaborationwiththird-partyproviders:Thirdpartyvendorscanspeedupdeploymentandaddress skillshortages.
• UtilizingembeddedAIsolutions:Mostplatforms (e.g.,CRM,ERPsoftware)alreadyincludeAI capabilities,offeringrapidgainswithoutextensive development.
Regardlessofthemethod,cooperationbetweenIT,data teams,andbusinessstakeholdersiscriticaltosuccess.
5.PrioritizeEthicalandResponsibleAIUse
EthicsneedtobeprioritizedasAIbecomesapartof decision-making.TopromoteresponsibleAIuse:
• ProvidediverseandrepresentativedatafortrainingAI models
• RegularlyauditAImodelsforfairness,accuracy,and bias
• UsetransparentAIpracticesthatmakedecisions comprehensible
• MeetdataprivacylawssuchasGDPRandCCPA
Settingupethicalstandardsandgovernanceframeworksis essentialtopreservetrustandminimizeAIrisks.
6.EmbedAIinCoreBusinessProcesses
AIneedstobeintegratedintobusinessasusualtoprovide sustainablevalue.Examplesinclude:
• LeveragingAI-driveninsightstomakedecisionsin salesandcustomerservice
• Automatingday-to-daytasksinfinance,HR,orsupply chainmanagement
• Integratingmachinelearninginrecommendation systemsorproductdevelopment
Strongchangemanagementisessential—ensure stakeholdersareconvincedofthevalueofAI,involvethem early,andspendontrainingsothatAIsupplementshuman roles.
7.MonitorPerformanceandFosterOngoing Improvement
Todeliverlong-termvalue,constantlyassessAIinitiatives. Setkeyperformanceindicators(KPIs)suchascost reduction,revenueincrease,orcustomersatisfaction. PeriodicallyauditAIsystemperformanceandretrain modelstoconformtoevolvingdataandbusiness requirements.
AIadoptionflourishesinaculturethatisopentoinnovation anddata-drivendecision-making.Fosterexperimentation, rewardinnovativeideas,andempoweremployeesto discovernewopportunitiesforAIuse.Leadershipmustset theexamplewithacommitmenttoethicalAIanddigital transformation.
AIistransformingbusinesslandscapes,andorganizations embracingastrategic,ethicalapproachtoAIaremore likelytoleverageitspotential.Byestablishingcleargoals, measuringreadiness,beginningwithpilotprojects, developingAIcompetencies,makingethicalahabit, integratingAIintooperations,andpromotinginnovation, companiescanfuelgrowth,remaincompetitive,and flourishintheAIera.ThepathtoAImaturityiscontinuous, butwithawell-plannedstrategy,AIcanbeaninfluential driverofchange.
"In AI, we must move from models of intelligence to models of responsibility."
Intoday'shyper-competitivemarket,theintersectionof
artificialintelligence(AI)andbigdatahasevolved frombeingatechnologicaladvantagetoastrategic necessity.BusinessesthattapintothepowerofAIandData Trendscandrivesmarterdecision-making,streamline operations,andcreatenewrevenueopportunities.This articleexploreshowcompaniescaneffectivelyharness thesetrendstoaccelerategrowthwhileremainingagileand innovative.
Thefast-paceddevelopmentofDataTrendsandAIhas reshapedthewaycompaniesthinkaboutproblem-solving andstrategicplanning.AIisnotjustusedforpredictive analyticsorcustomersupportchatbotsanymore.Ithas becomethekeyincertainspaceslikepersonalization marketing,demandforecasting,supplychainoptimization, andproductinnovation.Datatrends,ontheotherhand, showamovetowardsreal-timeanalytics,edgecomputing, andcloud-baseddatalakes,whichenableorganizationsto processandanalyzedatainamoreefficientmanner.
TogetthemostoutofAIandDataTrends,businessesneed toalignAIprojectswithbusinessgoals.Whetherthegoalis enhancingcustomerexperience,streamliningoperations,or expandingintonewmarkets,AImustbeacatalyst—notan isolatedsolution.Startwithdefiningkeyperformance indicators(KPIs)thatAIcanimpactandthenbringindata sourcesthatalignwiththosegoals.
Forexample,aconsumergoodsfirmmayapplyAIpoweredrecommendationsystemstoboostrevenues,while alogisticscompanywouldconcentrateonroute optimizationalgorithmsinordertolowercosts.Ineither instance,knowledgeofthebusinesscontextwillensurethat AIdeliversconcretevalue.
DataisthebackboneofAI.Withoutclean,consistent,and accessibledata,eventhemostsophisticatedAImodelswill fallshort.CompanieswhowanttotapintoAIandData Trendsneedtoinvestinnewdatainfrastructure.This comprisesscalablecloudplatforms,datawarehouses,and toolsthatenablereal-timedataprocessing.
Moreover,executingdatagovernancepolicies—likedata qualitymanagement,accesscontrol,andcompliance mechanisms—ensurestheintegrityandusabilityofdata drivingAIcapabilities.
AIisstrongestwhencombinedwithhumanknowledge. Insteadofsubstitutingworkers,AIcancomplementtheir skillsbydeliveringactionableinformation.Providingteams witheasy-to-useanalyticsdashboards,real-time notifications,andAI-basedforecastingcapabilitiescan createasmarter,moreagileworkforce.
Additionally,firmsmustmaketrainingandupskilling employeesinAIliteracyapriority.Havingan understandingofAIandDataTrendsatapracticallevel allowsteammemberstospotopportunities,question assumptions,andmeaningfullycontributetoAI-driven projects.
AIflourishesinaculturethatsupportsexperimentationand ongoingimprovement.Cross-functionalcollaboration betweenbusinessleaders,ITprofessionals,anddata scientistsfacilitatesbreakingdownsilosandcreatinga sharedvisionforgrowth.
Settinguppilotprojectsandproof-of-conceptmodelscan pilottheviabilityofAIapplicationsbeforelarge-scale implementation.Thisflexibleapproachnotonlyreduces riskbutalsospeedsupthetime-to-valuefromAI investments.
AImodelsanddatastrategiesneedtokeeppacewiththe businessclimate.Periodicallyanalyzingperformance measurements,revisingalgorithms,andaddingnewdata sourceskeepsyourAIsystemsapplicableandeffective. MonitoringemergingAIandDataTrendsalsoenables businessestostayontopofcurrenteventsandaddress changesinmarketsaheadoftheirtime.
HarnessingAIandDataTrendsforbusinessexpansion takesmorethanembracingthenewesttechnologies—it takesastrategic,human-focusedapproach.Byconnecting AItobusinessobjectives,investingintheproper infrastructure,empoweringworkers,anddriving innovation,businessescanunlocknewlevelsof performanceandcustomervalue.
AsAIandDataTrendscontinuetotransformindustries, companiesthatevolvewithagilityandvisionwillnotonly expand—they'lllead.