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DTSTART;TZID=Europe/London:20260915T150000
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UID:10000365-1789484400-1789488000@www.insightplatforms.com
SUMMARY:The Human-AI Research Workflow: Where Technology Helps and Human Expertise Matters
DESCRIPTION:This live webinar is in partnership with:\n\n\naytmaytm is a fully integrated agile consumer insights platform with verified audiences\, automated research tests\, and advanced analysis tools.\n\n\naytm shows where AI speeds research workflows\, human judgment still matters\, and how to scale trustworthy insights across your organization.\n\n\n\n\n\n\n\n\n\nComplete the form to register for this free virtual event\n\n\n\n                    Webinar Signup Form (#4)First NameLast NameEmailJob TitleCompanyCountrySelect CountryAfghanistanAland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Saint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBritish Virgin IslandsBruneiBulgariaBurkina FasoBurundiCabo VerdeCambodiaCameroonCanadaCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzech RepublicDemocratic Republic of the Congo (Kinshasa)DenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyIvory CoastJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacao S.A.R.\, ChinaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth KoreaNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestinian TerritoryPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRepublic of the Congo (Brazzaville)RomaniaRussiaRwandaRéunionSaint BarthélemySaint HelenaSaint Kitts and NevisSaint LuciaSaint Martin (Dutch part)Saint Martin (French part)Saint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia/Sandwich IslandsSouth KoreaSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUgandaUkraineUnited Arab EmiratesUnited Kingdom (UK)United States (US)United States (US) Minor Outlying IslandsUnited States (US) Virgin IslandsUruguayUzbekistanVanuatuVaticanVenezuelaVietnamWallis and FutunaWestern SaharaYemenZambiaZimbabweTerms Acceptance By signing up\, you agree to the Event Terms\, which include consent to receive e-mail from Insight Platforms and event sponsors.View full Event Terms Submit            \n            \n\n\n\n\n\n\n\n\nAI is supposed to make research faster. The more useful question is where it’s actually landing across the workflow: which tasks compress\, which stay stubbornly human\, and what that means for the value of your expertise.  \n\n\n\nWe’ll walk a real research workflow stage by stage: drafting and reviewing a study\, translating it into new markets\, automatically coding open-ends and exploring statistical significance and verbatim responses\, then reporting out. At each stage\, we’ll show exactly what AI gives back and what a person still has to catch.  \n\n\n\naytm has been at the front of building AI into this workflow with Skipper and\, soon\, the Bridge\, so we’ll ground the walkthrough in what that actually looks like in practice: one real\, anonymized before-and-after.  \n\n\n\nThen we’ll look at where it’s heading: querying insight across your whole research library\, and what it takes to open that up safely to the rest of your org. \n\n\n\nYou’ll leave with: \n\n\n\n\nA stage-by-stage map of where AI compresses a real research workflow (drafting\, reviewing\, translating\, automatically coding\, exploring statistical significance and verbatim responses\, and reporting) and where a person still has to check the work\n\n\n\nA concrete answer to “what protects quality when AI drafts and reports”: source attribution and insight-card indexing\, not a policy memo\n\n\n\nOne real\, anonymized before-and-after showing exactly which hours came back\n\n\n\nA clear picture of how the same standards extend past your desk to non-researchers in your org\, without you reviewing every query yourself\n\n\n\n\nWhat we’ll cover: \n\n\n\n\nWhere AI is actually landing across the research workflow right now\, and where it isn’t\n\n\n\nA worked walkthrough of drafting\, reviewing\, translating\, automatically coding\, exploring statistical significance and verbatim responses\, and reporting: what AI changes at each stage and where a person stays in charge\n\n\n\nOne real\, anonymized before-and-after from a research team that’s already made this shift\n\n\n\nWhat’s next: querying insight across every study you’ve run\, and what it takes to open that up safely to the rest of your org\n\n\n\n\n\n\n\n\n\n\n\nSpeaker\n\n\nGlenn FleischmanGlenn Fleischman is the Chief Revenue Officer at aytm\, leads revenue strategy and scales the company’s growth in AI-powered consumer insightsFIND OUT MORE Glenn Fleischman\n\n\nLearn More About aytm\n\n\naytmaytm is a fully integrated agile consumer insights platform with verified audiences\, automated research tests\, and advanced analysis tools.FIND OUT MORE aytm
URL:https://www.insightplatforms.com/event/the-human-ai-research-workflow-where-technology-helps-and-human-expertise-matters/
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