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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Estimated from 6 chart positions in 6 markets.
By chart position
- 🇩🇪DE · Technology#1295K to 30K
- 🇧🇷BR · Technology#5310K to 30K
- 🇯🇵JP · Technology#1491K to 10K
- 🇰🇪KE · Technology#630K to 100K
- 🇳🇬NG · Technology#1730K to 100K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
24K to 84K🎙 Daily cadence·202 episodes·Last published 3d ago - Monthly Reach
Unique listeners across all episodes (30 days)
79K to 280K🇰🇪36%🇳🇬36%🇩🇪11%+3 more - Active Followers
Loyal subscribers who consistently listen
32K to 112K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
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From 10 epsHosts
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Recent episodes
Ep210: Resilience at Machine Speed - PagerDuty's Path to Autonomous Operations
Jun 9, 2026
Unknown duration
Ep209: Starburst Data's Blueprint for the AI Era with AWS
Jun 2, 2026
Unknown duration
Ep208: Built to Survive: CockroachDB's Role in the Agentic AI Era
May 26, 2026
Unknown duration
Ep207: The AI Arms Race: How Vectra AI Uses Agentic AI to Outpace Cyber Attackers
May 19, 2026
Unknown duration
Ep206: Building Agentic Products at Enterprise Scale with Datadog, Fireworks, Okta, Writer AI and AWS
May 12, 2026
Unknown duration
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/9/26 | ![]() Ep210: Resilience at Machine Speed - PagerDuty's Path to Autonomous Operations | PagerDuty SVP Rukmini Reddy explains why AI is making software operations exponentially more complex — and why the companies that learn and recover fastest will be the ones that win.Topics Include:PagerDuty powers critical digital operations for enterprises and AI-native companies.Founded by early AWS employees who experienced always-on system failures firsthand.The platform evolved from simple alerting into a full operational intelligence platform.Complexity exploded with microservices, cloud-native infrastructure, and multi-cloud environments.Reliability must be a core value — not an operational afterthought.PagerDuty's culture champions the customer above everything else.Employee recognition extends beyond sales to celebrate the whole business.AI is accelerating software creation but making operations far more complex.AI fails differently — silently, unpredictably, with a much larger blast radius.Enterprises should leverage their operational history as a competitive AI asset.AI-native companies must build operational resilience early, not bolt it on later.The winners won't build fastest — they'll learn and recover fastest.Participants:Rukmini Reddy – Senior Vice President of Engineering, PagerDutySee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 6/2/26 | ![]() Ep209: Starburst Data's Blueprint for the AI Era with AWS | From cracked data foundations to multi-agent AI, Starburst Data's co-founder shares hard-won lessons on getting the right data, not just more of it.Topics Include:Matthew Fuller, co-founder and VP of Product at Starburst Data, joins the show.Starburst is built on Trino, a fast SQL engine for federated data queries.Their platform lets users query data across lakes, stores, and databases seamlessly.Governed "data products" give organizations access to their full data estate in context.A strong data foundation is essential before any AI use case can succeed.AI doesn't create data problems — it exposes the cracks already there.Common mistake: assuming everyone in an org defines "customer" or "revenue" the same way.More data isn't always better — getting the right data is what matters.Customers include HSBC, Comcast, Zalando, ZoomInfo, and DBS, many running on AWS.AWS partnership spans technical support, SLA reliability, and proactive product briefings.Advice for product leaders: always anchor new technology back to the customer problem.2026 will be defined by specialized multi-agents working together autonomously.Participants:Matt Fuller – Co-Founder, Vice President of Product, Starburst DataSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 5/26/26 | ![]() Ep208: Built to Survive: CockroachDB's Role in the Agentic AI Era | Find out why the world's largest banks and enterprises trust CockroachDB for mission-critical infrastructure, and what a decade of AWS partnership means for the future of cloud-native data.Topics Include:Cockroach Labs makes CockroachDB, a distributed SQL database built for resilience.It delivers cloud-native consistency that legacy relational databases simply cannot match.The name "cockroach" reflects survivability — it's designed to never go down.Target customers include major banks, trading platforms, retailers, and gaming companies.AI is forcing enterprises to accelerate database modernization from the board level down.AWS has been a foundational cloud partner for Cockroach Labs for a decade.The CockroachDB-AWS integration spans EC2, S3, Bedrock, and Amazon Q-Transform.AWS partnership shapes both product roadmap decisions and go-to-market execution.New partners should educate themselves first — AWS programs are deep and extensive.CockroachDB now supports native vector search for RAG and generative AI applications.Agentic AI could mean trillions of digital agents demanding real-time data infrastructure.Database modernization and AI adoption will only accelerate dramatically through 2027.Participants:Cassie Zimmerman – Senior Director, Global Strategic Partnerships, Cockroach LabsSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 5/19/26 | ![]() Ep207: The AI Arms Race: How Vectra AI Uses Agentic AI to Outpace Cyber Attackers | Greg Murphy of Vectra AI explains why no single security tool is enough in 2026, and how AI is transforming overwhelmed security teams into lean, highly responsive defense operations.Topics Include:Vectra AI helps enterprises detect and respond to cyberattacks before they become breaches.CISOs face millions of alerts monthly with dangerously understaffed security teams.Vectra pioneered AI-driven triage to prioritize only the most critical threats.The result: analysts act on two or three alerts, not thousands.Generative AI is now actively being weaponized by sophisticated bad actors.The first fully AI-orchestrated cyberattack by a nation state has already happened.Vectra and AWS Bedrock are building autonomous agents to fight back.Agentic AI can investigate thousands of incidents and surface only what matters.Over-reliance on single tools like EDR leaves dangerous gaps in defense.Modern attacks move fluidly across identity, network, and cloud environments simultaneously.AI stitches cross-surface signals together, revealing attacks hidden in isolated events.Best practice: assume breach, expand your network definition, and layer best-of-breed solutions.Participants:Greg Murphy – Chief Business Officer, Vectra AISee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 5/12/26 | ![]() Ep206: Building Agentic Products at Enterprise Scale with Datadog, Fireworks, Okta, Writer AI and AWS | If you're betting on agentic AI, hear directly from the builders navigating the challenges, innovating pricing models, and creating the coming reality where every employee manages thousands of agents.Topics Include:Four panelists represent the full AI stack: build, run, secure, monitor.Agentic AI moved faster than anyone predicted just 18 months ago.Writer AI's no-code agent builder missed both its target personas entirely.Non-technical users now just prompt agents instead of building workflows.Fireworks AI processes over ten trillion tokens daily across open models.DeepSeek's Christmas release tripled Fireworks' capacity needs almost overnight.Okta identified agent identity as a security problem from day one.91% of organizations are already using AI agents in some capacity.Datadog evolved naturally from dashboards to autonomous investigative agents.Bits.ai agents now diagnose production incidents before engineers wake up.Trust requires explainability — black-box agents stall enterprise adoption cold.Human-in-the-loop remains essential; risk tolerance varies wildly by organization.Writer AI compressed a four-month retail workflow down to one week.Multi-provider inference consistency is one of the hardest unsolved infrastructure problems.Agentic pricing models are fundamentally broken for enterprise budget planning today.Agents managing agents means every employee becomes a manager of thousands.POC data gaps are the most underrated blocker to production deployment.Security must be designed in from the start — retrofitting is painful.Build evaluations first so you know if you're actually improving anything.Find your uniquely differentiated data and build your agentic bet there.Participants:Yannick Guillerm – Regional Manager, Sales Engineering, DatadogRay Thai – Director of Product Management, Fireworks AIAndrew Yu – Vice President of Engineering, OktaMatan-Paul Shetrit – Director of Product Management, Writer AIModerator: Carol Potts – General Manager, North America ISV Sales, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 5/5/26 | ![]() Ep205: AI Teammates Are Here - Asana's Multiplayer Approach to an Agentic Future✨ | AI agentscollaborative work management+5 | Arnab Bose | AsanaAWS+4 | — | AI teammatescollaboration+7 | — | 21m 32s | |
| 4/28/26 | ![]() Ep204: Hacker Mindset at Scale: Inside Detectify's AI-Powered Security Platform on AWS✨ | AI in securityAWS architecture+4 | Haris Kabiljagić | Claude Code on BedrockDetectify+2 | Stockholm | DetectifyAWS+6 | — | 29m 20s | |
| 4/21/26 | ![]() Ep203: Beyond Observability - How Dynatrace Uses AI to Fix Problems Before You Know They Exist✨ | AI-powered observabilitysoftware issues+5 | Alois Reitbauer | DynatraceAmazon Web Services | — | observabilityAI+6 | — | 25m 20s | |
| 4/14/26 | ![]() Ep202: Self-Driving Infrastructure - How Vercel Is Automating the Future of Web Deployment✨ | AI in web deploymentself-driving infrastructure+4 | Lindsey Simon | AWS BedrockAurora+7 | — | web deploymentAI agents+6 | — | 28m 59s | |
| 4/7/26 | ![]() Ep201: Agentic AI - Business and Technical Trends with Olawale Oladehin✨ | Agentic AIbusiness trends+5 | Olawale Oladehin | OpenAIAWS+1 | — | AIsoftware companies+8 | — | 43m 25s | |
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| 3/31/26 | ![]() Ep200: Scaling and Monetizing AI-Powered Products with ServiceNow, TwelveLabs and AWS✨ | AI product scalingorganizational change+4 | RichKrish+1 | ServiceNowTwelveLabs+1 | — | AI productsdata governance+6 | — | 44m 32s | |
| 3/24/26 | ![]() Ep199: From Reactive to Proactive: The Observability Revolution with LogicMonitor✨ | observabilityAI+4 | Karthik Sj | Edwin AIAgent Core+2 | — | observabilityAI+5 | — | 17m 27s | |
| 3/17/26 | ![]() Ep198: Protect, Secure, Recover: How Cohesity Keeps Enterprise Data Resilient✨ | data protectioncybersecurity+5 | Vasu Murthy | Glacier Instant RetrievalCohesity+3 | — | Cohesitydata resilience+7 | — | 18m 25s | |
| 3/10/26 | ![]() Ep197: From Dashboards to Agents: How Qlik Is Reinventing Data Analytics with AI✨ | data analyticsAI+4 | Sam Pierson | Claude DesktopQlik+1 | 2026 | Qlikdata analytics+6 | — | 20m 07s | |
| 3/3/26 | ![]() Ep196: Agentic AI and the Future of Cloud Security with Sumo Logic✨ | cloud securityAI frameworks+4 | Chas Clawson | Dojo AI frameworkBedrock+2 | — | cloud analyticssecurity strategy+6 | — | 15m 38s | |
| 2/24/26 | ![]() Ep195: Tax Compliance at Scale: How Avalara Is Rewriting the Rules with AI and AWS | Avalara'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/ | — | ||||||
| 2/17/26 | ![]() Ep194: Measuring What Matters: A Future of Transparency, Safety and Honest Productivity with Honeycomb | Honeycomb 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/ | — | ||||||
| 2/10/26 | ![]() Ep193: The Conductor Behind Your Data Orchestra: Astronomer's Approach to AI Pipeline Management | Astronomer'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/ | — | ||||||
| 2/3/26 | ![]() Ep192: Human-in-the-Loop: How Docupace Balances Innovation and Risk in Wealth Tech | Learn 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/ | — | ||||||
| 1/28/26 | ![]() Ep191: Building AI Success - How Boomi Automates Anything and Connects Everything | Boomi 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/ | — | ||||||
| 1/26/26 | ![]() Ep190: The Future of Commerce Automation: How Fabric is Transforming Retail Operations | Fabric 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/ | — | ||||||
| 1/22/26 | ![]() Ep189: Banking on AI - How Abrigo is Revolutionizing Community Finance with Intelligent Automation | Abrigo'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/ | — | ||||||
| 1/19/26 | ![]() Ep188: Disruption, Culture and Technology – Halo's Unique Approach to Enterprise Innovation | Hear 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/ | — | ||||||
| 1/13/26 | ![]() Ep187: Beyond Vector Search - How Neo4j Delivers Context for Intelligent Agents | Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.Topics Include:Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.Success requires business-first mindset over technology-first to avoid POCs that never reach production.Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.Participants:Ajay Singh – Global Vice President, Neo4jSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/ | — | ||||||
| 1/6/26 | ![]() Ep186: Transforming Video Surveillance into Business Intelligence with March Networks and Amazon Bedrock | Executives from March Networks explain how Amazon Bedrock transformed petabytes of surveillance video into economically viable solutions that unlock untapped business value.Topics Include:March Networks CEO and CPO discuss video surveillance for enterprise banks and retailers globallyCompany serves 10,000 customers with 250,000 installations worldwide since 2003 from Ottawa headquartersBanking customer operates across 25 countries centralizing video operations on one standardized platformSingle enterprise customer manages 65 petabytes of distributed data across March Networks recordersAWS partnership enables five-to-ten-year cloud transition starting with economical DeepGlacier storage solutionsAmazon Bedrock powers AI Smart Search analyzing snapshots for searchable business intelligence insightsEnterprise video data remains largely untapped for retail traffic patterns and operational efficiencyOne retailer processes three million daily POS transactions across 6,000 locations synchronized with video2025 brought AI Smart Search launch enabling natural language queries across entire operationsCloud storage became economically viable using Glacier after traditional quotes reached millions annuallyFraudsters exploit 90-180 day retention windows by waiting six months to file lawsuits2026 vision emphasizes consultative selling for efficiency gains supported by strong AWS partnershipParticipants:Peter Strom – President & Chief Executive Officer, March NetworksJeff Corrall – Chief Product Officer, March NetworksSee 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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Chart Positions
6 placements across 6 markets.
Chart Positions
6 placements across 6 markets.
