Ryan Steeb shares DTEX Systems’ strategic approach to implementing generative AI with AWS Bedrock, reducing risk while focusing on meaningful customer outcomes.Topics Include:Introduction of Ryan Steeb, Head of Product at DTEX SystemsExplanation of insider risk challengesThree categories of insider risk (malicious, negligent, compromised)How DTEX Systems is using generative AICollection of proprietary data to map human behavior on networksThree key areas leveraging Gen AI: customer value, services acceleration, operationsHow partnership with AWS has impacted DTEX's AI capabilitiesValue of AWS expertise for discovering AI possibilitiesAWS Bedrock providing flexibility in AI implementationCollaboration on unique applications beyond conventional chat assistantsAWS OpenSearch as a foundational componentCreating invisible AI workflows that simplify user experiencesThe path to monetization for generative AIThree approaches: direct pricing, service efficiency, operational improvementsSecond and third-order effects (retention, NPS, reduced churn)How DTEX prioritizes Gen AI projectsStarting with customer problems vs. finding problems for AI solutionsBusiness impact prioritization frameworkTechnical capability considerationsBenefits of moving AI solutions to AWS BedrockFostering a culture of experimentation and innovationAdopting Amazon's "working backwards" philosophyBalancing customer-driven evolution with original innovationTime machine advice: start experimenting with Gen AI earlierImportance of leveraging peer groups and expertsFuture outlook: concerns about innovation outpacing risk mitigationSecurity implications of Gen AI adoptionParticipation in the OpenSearch Linux Foundation initiativeFinal thoughts on the DTEX-AWS partnershipParticipants:Ryan Steeb – Head of Product, DTEX SystemsSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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