Podcast
AWS for Software Companies Podcast
Hosted by AWS - Amazon Web Services · EN
Stay ahead of the rapidly evolving cloud and AI landscape with the AWS for Software Companies podcast.
Hear from renowned software leaders, respected industry analysts, and experienced consultants alongside AWS experts as they explore the technologies shaping the future—from generative AI and agentic systems to intelligent cloud architectures, and modern data management. Learn how AI agents are transforming enterprise workflows, how leading companies are modernizing their cloud strategies with security best practices at the core, and what's driving the next wave of SaaS innovation.
New episodes drop regularly to keep you informed on the trends that matter most to your business.
37episodes
Episodes
Newest firstAll episodes
Ep197: From Dashboards to Agents: How Qlik Is Reinventing Data Analytics with AI
Mar 1000:20:07Tap to summarizeCTO Sam Pierson explains how Qlik’s associative engine and agentic AI are transforming the way businesses uncover insights and what’s next on the data frontier.Topics Include:Qlik is a 30-year-old data analytics and AI company with global customers.Qlik's associative engine surfaces insights from data you aren't even examining.A paper manufacturer optimized supply chain routing and navigated tariff complexity.Generative AI can't easily query databases — Qlik's engine bridges that gap.Qlik built an agentic layer enabling natural language conversations with your data.MCP integration lets users access Qlik insights directly from tools like Claude Desktop.Qlik runs entirely on AWS, with global regions built around local compliance requirements.The AWS partnership prioritizes mutual success over transactional service relationships.Agents will mature in 2026; some agentic bets will succeed, others will be refactored.Fine-tuned, smaller language models will grow in importance alongside larger ones.AI adoption requires restructuring workflows end-to-end, from product spec to go-to-market.Qlik is hiring for curiosity and agency — people who experiment without waiting for permission.Participants:Sam Pierson – Chief Technology Officer, QlikSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep196: Agentic AI and the Future of Cloud Security with Sumo Logic
Mar 300:15:38Tap to summarizeSumo Logic's VP of Security Strategy reveals how a ground-up agentic framework transformed their platform, and why clean data and autonomous agents are rewriting the rules of cloud security.Topics Include:Sumo Logic is a cloud analytics platform ingesting data from complex IT stacks.Built on AWS from the start, leveraging microservices for scalable solutions.Early AI efforts produced a natural language query co-pilot for security data.Bolting AI onto existing platforms proved brittle and one-dimensional.Customer feedback drove a decision to redesign AI from the ground up.The Dojo AI framework unifies purpose-built agents across the entire platform.New agents include a SOC analyst agent, knowledge agent, and MCP server.New frontier models on Bedrock give the whole platform an instant brain transplant.Autonomous agents require rethinking security controls beyond traditional programmatic guardrails.Federal and global customers demand rigorous, levelled-up security across all regions.Clean, normalized data proved the biggest unlock for reliable AI query results.Agent-to-agent communication and MCP will define the next era of AI platforms.Participants:Chas Clawson – Vice President, Security Strategy, Sumo LogicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep195: Tax Compliance at Scale: How Avalara Is Rewriting the Rules with AI and AWS
Feb 2400:19:20Tap to summarizeAvalara's Chief Architect Tim Diekmann reveals how AI and agentic technology are transforming tax compliance and accuracy across 40,000 jurisdictions leveraging AWS.Topics Include:Avalara provides tax compliance software across North America, Europe, and beyond.They operate between commerce and government, covering 40,000+ jurisdictions.Services span registration, sales tax calculation, and certificate management.Avalara was the only company keeping pace with rapid tariff changes.AI is used to parse unstructured documents like tax notices and publications.Intelligent mapping automates ERP integration across vastly different system configurations.GenAI lets customers query billions of transactions using plain conversational language.Avalara and AWS are now engaged in a promising co-selling motion.Time-to-go-live and transaction accuracy are the key success metrics tracked.Amazon Q was rolled out company-wide, achieving 95% developer adoption.AI literacy is now prioritized across legal, HR, and engineering teams alike.Agentic AI will embed Avalara directly inside customer ERP systems going forward.Participants:Tim Diekmann – SVP of Engineering, Chief Architect, AvalaraSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep194: Measuring What Matters: A Future of Transparency, Safety and Honest Productivity with Honeycomb
Feb 1700:20:16Tap to summarizeHoneycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.Topics Include:Charity Majors introduces Honeycomb as the original observability company for complex systemsHoneycomb solves high cardinality problems across millions of individual customer experiencesTheir MCP tool ranked top five in Stack Overflow's most-used listCanva lets developers interact with production software directly from their IDEAI acts as an amplifier requiring strong reliability and observability foundationsMeasuring success requires multiple metrics to avoid gaming single numbersHoneycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gainsWriting code was never the hard part even before generative AI arrivedHoneycomb created AI values prioritizing transparency and emotional safety for employeesStaff tested boundaries on resources and environmental impact prompting honest discussionsHoneycomb acquired Grok and shipped Query Assistant Canvas and MCP productsFuture concerns include AI economics shifting and AI-native developers lacking foundational expertiseParticipants:Charity Majors – Co-Founder/CTO, Honeycomb.ioSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep193: The Conductor Behind Your Data Orchestra: Astronomer's Approach to AI Pipeline Management
Feb 1000:17:01Tap to summarizeAstronomer's Steven Hillion reveals how OpenAI, Anthropic, Uber, and Lyft use Apache Airflow to orchestrate AI and machine learning pipelines at scale on AWS.Topics Include:Steven Hillion leads data and AI at AstronomerApache Airflow surpassed Spark and Kafka in community metricsAstronomer coordinates data flow like conductor orchestrating instrumental platformsOrganizations with data engineering teams use Airflow at scaleCustomers already used Airflow for ML before official promotionUber and Lyft orchestrate pricing models using AirflowAstronomer runs on AWS with close integration partnershipsOpenAI Anthropic and GitHub Copilot use Airflow for operationsInternal data team uses Airflow creating feedback loopsEvolved from constrained AI reports to agentic workflowsPlatform monitors generative AI output quality at user interactionsMetadata and context increasingly critical for AI applicationsLearn more at Astronomer’s Data FlowCast podcastParticipants:Steven Hillion – SVP, Data and AI, AstronomerSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep192: Human-in-the-Loop: How Docupace Balances Innovation and Risk in Wealth Tech
Feb 300:28:18Tap to summarizeLearn how Docupace transformed from cloud-native platform to AI-powered wealth tech leader, leveraging AWS partnerships and customer obsession to accelerate growth.Topics Include:Docupace Technologies has served wealth management firms for twenty years.Three SaaS product lines streamline advisor workflows and back offices.AI transforms both customer operations and Docupace's internal business practices.Trust between advisors and investors drives conservative technology adoption approach.Serving seven top-ten broker dealers demands careful data security strategies.AI shifts financial systems from deterministic certainty to probabilistic outcomes.Industry began AI adoption with simple meeting note-taking applications.Docupace's agentic AI framework enables safe, observable, orchestrated agent deployment.Multiple verification layers and human oversight ensure zero-error financial operations.Internal AI implementation required nine months navigating change management hurdles.Team curiosity and rapid experimentation matter more than traditional skill sets.AWS customer obsession and partnership programs dramatically accelerate business growth.Participants:Michael Pinsker – Founder and President, Docupace TechnologiesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep191: Building AI Success - How Boomi Automates Anything and Connects Everything
Jan 2800:21:46Tap to summarizeBoomi CEO Steve Lucas reveals how to flip AI's 95% failure rate to your favour with practical integration strategies, real-world agent deployments, and an AWS partnership.Topics Include:Boomi solves the forever problem of complexity across applications and systemsTwenty-five thousand customers use Boomi to automate anything and connect everythingBoomi moves more data per second than the entire Visa networkAI agents now integrate systems through simple commands, no coding requiredAgentic platform built with AWS creates custom AI agents in real timeUse cases include expense monitoring and heart defibrillator battery checks dailyAutomotive companies use AI agents to assess tariff risks across supply chainsHospitals deploy agents to detect patient falls and alert medical professionals immediatelyControl Tower co-innovated with AWS monitors and manages all AI agents centrallyDeterministic processes like payroll shouldn't use AI, probabilistic challenges shouldNinety-five percent of AI projects fail due to data access problemsAgentic workshops help companies identify high-ROI opportunities and achieve AI successParticipants:Steve Lucas – Chairman & CEO, BoomiSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep190: The Future of Commerce Automation: How Fabric is Transforming Retail Operations
Jan 2600:17:59Tap to summarizeFabric CTO Ankush Goyal reveals how AI Search is transforming commerce discovery and why merchants need AI agents to compete effectively.Topics Include:Fabric builds AI agents for commerce, solving merchant visibility challengesCommerce shifting due to AI Search channels and smaller retail teamsProduct Agent monitors and improves product visibility across AI channelsPetMeds uses Fabric to optimize AI Search and automate SKU onboardingFabric evolved from commerce platform company to AI agent solutionsAgentic and generative AI work together to optimize product catalogsFabric uses AWS EKS, Bedrock, S3, and Nova models heavilyAWS partnership connects Fabric with industry leaders and growth opportunitiesAWS services enable reliable, cost-effective, and performant enterprise AI agentsPrototyping agents is easy, but enterprise-grade reliability is extremely challengingFour key learnings: workflow reliability, context engineering, cost effectiveness, feedback loopsCTOs should define agent goals, guardrails, context, and evaluations earlyLong-running workflow durability and snapshots prevent costly repeated work failuresFuture innovations focus on specialized models, retrieval frameworks, automated evaluationsMerchants can evaluate AI Search performance at fabric.inc or LinkedInParticipants:Ankush Goyal – Chief Technology Officer, FabricSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep189: Banking on AI - How Abrigo is Revolutionizing Community Finance with Intelligent Automation
Jan 2200:24:13Tap to summarizeAbrigo's Chief Product Technology Officer reveals how they're leveling the playing field for 2,400 community banks using AWS-powered AI to compete with billion-dollar financial institutions.Topics Include:Abrigo serves 2,400 community banks and credit unions across the USThey provide risk management, fraud detection, and digital loan origination solutionsConnect platform delivers data analytics for institutions with legacy systemsCommunity banks need instant digital experiences to compete with fintech upstartsCustomers expect Uber-like speed from application to cash within hoursThree technology waves transformed finance: iPhone, cloud computing, then AIChatGPT changed conversational experiences and knowledge search expectations in bankingAI enables instant policy search for new employee onboarding needsEvery minute saved from grunt work gets redeployed into customer relationshipsSimple borrower experiences work across all demographics from boomers to millennialsAbrigo embraced agentic AI early using AWS Bedrock and Agent CoreNew guardrails and evaluations accelerate deterministic workflow reimagination with agentsParticipants:Ravikumar Nemalikanti – Chief Product and Technology Officer, AbrigoSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Transcribe →Ep188: Disruption, Culture and Technology – Halo's Unique Approach to Enterprise Innovation
Jan 1900:31:44Tap to summarizeHear how Halo manages market disruption and technology innovation with their unique culture, helping them scale to be a leader in workflow automation software.Topics Include:Halo serves 125,000 teams across 75 countries with enterprise ITSM solutionsPaul Hamilton founded company 21 years ago as freelance IT consultantBuilt ticketing software to track their own freelance client work originallyNo marketing budget so mastered organic SEO without paid advertising spendReached number one Google ranking globally for help desk software 2006Hired first employee in 2011 when co-founder wanted outAWS partnership began years ago recognizing trajectory not current snapshot sizeAWS team proactively delivered 20 percent infrastructure optimization cost savings recentlyHalo reducing prices using savings for customer value creationHires graduates and trains them rather than poaching experienced enterprise talentMonday morning all-company meetings ensure transparency with minimal management hierarchy levelsNo traditional sales teams, culture emphasizes autonomy and employee ownership stakesTechnology completely rebuilt 2017-2018 delivering deployments in one-third typical timeframesTotal cost ownership 70 percent lower than competitors while winning tendersVision transcends software through music festivals, documentaries pioneering fulfilling workplace cultureParticipants:Paul Hamilton – CEO and Founder, HaloAlison Kay – Vice President / Managing Director, AWS UKISee 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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