AWS for Software Companies Podcast

• Ep174: How Voice AI Is Transforming Industries with Deepgram

  CEO Scott Stephenson explains how Deepgram's voice AI technology powers everything from pharmacies to drive-thru ordering and why, after so many years, Voice AI is now ready for prime time.Topics Include:Scott Stephenson introduces Deepgram as an audio AI company building speech productsMajor brands like CVS and Anthropic use Deepgram to power voice agentsCVS handles prescription status calls where 25-40% ask if prescriptions are readyVoice technology now accurately understands diverse accents and speech patterns from callersAutomated systems free pharmacists to focus on their actual jobs insteadJack in the Box uses Deepgram for drive-thru ordering with natural conversationsPrevious McDonald's and Wendy's failures happened because the technology wasn't ready yetVoice AI can handle any task with text input like CRM notesHealthcare companies adopted voice AI faster than expected despite compliance hurdlesStaffing shortages drove hospitals to push through HIPAA and regulatory red tapeFirst misconception: AI will never match human performance in customer interactionsSecond misconception: one product should solve all voice-related business problemsCompanies must strategically decide what to build, partner on, or buyDeepgram's research team controls speech speed and outputs conversational data like timestampsAdoption will feel slow initially but suddenly be everywhere within three yearsParticipants:Scott Stephenson – Co-Founder & CEO, DeepgramSee 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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• Ep173: Simplifying Elasticsearch at Scale: How Elastic Built Their Serverless Platform

  ** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Uri Cohen reveals how Elastic transformed from managing 50,000 complex clusters to building a seamless serverless platform that eliminates operational overhead while scaling globallyTopics Include:Johan Broman of AWS hosts Uri Cohen who leads Elastic's platform products teamUri shares his nine-year journey at Elastic from small company to global scaleElasticsearch started 15 years ago, becoming popular for search, logs, and security eventsElastic Cloud launched 2015, but users struggled with shards, nodes, and infrastructure complexityServerless eliminates operational concerns, letting users just ingest and analyze their dataDesign goal: maintain familiar Elasticsearch experience while removing all infrastructure management burdenChose complete architectural redesign over retrofitting auto-scaling to existing infrastructureNew architecture uses S3 persistence with lightweight routing layer serving 50,000+ clustersCell-based design limits blast radius and improves multi-tenancy across 40+ global regionsLearned S3 API costs can explode unexpectedly without careful request pattern optimizationAI transforms security workflows: 10,000 alerts become 3 actionable attack summaries automaticallyWeekly continuous deployment enables faster innovation delivery without waiting for version releasesParticipants:Uri Cohen – Vice President of Product Management, Platform, ElasticJohan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web ServicesSee 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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• Ep172: Scaling AI from Day One: SS&C Blue Prism on Governance, Guardrails, and Growth

  SS&C Blue Prism's VP reveals how they achieved $200M annual savings and $600M revenue growth by deploying 3,000 AI agents, processing 6 million documents monthly as their own first customer.Topics Include:SS&C Blue Prism evolved from RPA leader to agentic automation provider over 25 yearsServes 22,000 clients in regulated industries like financial services, healthcare, manufacturing, and retailOffers AI agents, governance gateway, and secure enterprise chat leveraging AWS BedrockAs "customer zero," they deployed 3,000 agents processing 6 million documents monthlyGenerated $200M annual savings and $600M revenue growth using their own technologyFinancial services client unlocked unstructured document processing previously impossible with traditional automationHealthcare client's AI processes MRIs more accurately than human radiologistsKey lesson: Focus on business outcomes first, not just implementing AI everywhereCritical insight: Plan for scale on day one, not after pilots succeedAWS Marketplace streamlined purchasing, especially in challenging Latin American marketsFuture vision: B2A economy where agents negotiate parking, shopping, and services autonomouslyPredicts agent-to-agent communication will revolutionize healthcare monitoring and wealth managementParticipants:Satish Shenoy – Global Vice President, Technology Alliances and GenAI GTM, SS&C Blue PrismSee 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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• Ep171: Responsible Business Innovation with Generative AI

  ** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.Topics Include:AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deploymentDemandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidentialHighspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessmentsReal-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactionsCompanies create "second-party data" networks where customers opt-in to share insights collectivelyOpen-source models gain traction but require significant expertise for enterprise-grade implementationEU AI Act mandates human oversight, reshaping how companies design AI systems globallyArcher's Kayvan Alikhani extends identity management principles from web applications to AI agentsUnattended AI agents performing tasks autonomously create new security and accountability challengesHuman-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customersFuture challenge: Determining when AI accuracy justifies removing costly human oversightEnterprise data hygiene becomes critical as AI systems need clean, reviewed internal dataParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesSee 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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• Ep170: From Open Source to AI Agents – Inside SnapLogic’s Transformation with AWS

  ** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **SnapLogic CTO Jeremiah Stone reveals how they evolved from open-source to AI-powered integration platform, doubled AI adoption with one UX change, and delivers measurable enterprise ROI.Topics Include:SnapLogic CTO shares their decade-long journey building AI-powered integration with AWS partnership.SnapLogic drives "human cost of integration to zero" for thousands of global companies.Started as open-source project, pivoted to cloud in 2015 with AWS infrastructure.Began AI workloads in 2018, predicting next steps in integration workflows using models.Became AWS Bedrock launch partner, completely reinventing their product for generative AI era.SnapLogic lives through transformations first, then credibly helps ISV customers do same.Helped Adobe migrate entire CRM from Salesforce to Microsoft over single weekend.Built normalized data architecture using S3, Iceberg, Glue for analytics-ready enterprise data.SnapGPT copilot converts plain language prompts into complete integration pipelines in minutes.Live demo shows generating Salesforce-to-Redshift pipeline with filters using natural language commands.Small UX tweak adding helpful header doubled monthly active users of SnapGPT.Changed legal agreements in 2017 to capture metadata, enabling AI features years later.Agent Creator delivers ROI across customers: Inspirant, Core Plus, AstraZeneca use cases.SnapLogic's own finance team cut order reconciliation from 40 hours monthly to 90 minutes.Key lessons: governance first, understand business impact, use AWS native patterns consistently.Participants:Jeremiah Stone – Chief Technical Officer, SnapLogicOlawale Oladehin – Managing Director, NAMER Technology Segments, Amazon Web ServicesSee 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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