AWS for Software Companies Podcast

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.

AWS for Software Companies Podcast is a technology podcast hosted by AWS - Amazon Web Services, with 220 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

AWS - Amazon Web Services hosts AWS for Software Companies Podcast, a technology show with 220 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #221

  Ep221: The Agentic Inflection Point with Couchbase, SentinelOne and AWS

  Sep 1, 202632 min

  In a fascinating panel discussion, executives from Couchbase , SentinelOne and AWS share strategies ensuring the highest adoption and ROI when deploying AI and the pitfalls to avoid along the way. Topics Include: Agentic AI marks shift from clever data to autonomous agents Organizations sit at different AI maturity levels, not uniform Only 31% of adopters see measurable financial impact from AI Adoption friction, not access, is what stalls most AI value Segment your workforce: innovators, pragmatic majority, and reluctant laggards Give innovators tools, budget, and freedom before chasing laggards Visible recognition programs turn early innovators into internal role models AI-ready data infrastructure remains the top blocker to real adoption Future AI value concentrates at customer-facing, transaction-level touchpoints Coding tools see fast uptake; broader business adoption lags behind AI is quietly rewriting SEO, SEM, and lead-routing strategy Agent trust requires both clean data and strong safety guardrails Human-in-the-loop review lets AI handle investigation, humans decide outcomes In agentic AI, go-to-market partnerships matter more than past tech waves Strong tech-platform partnerships help smaller vendors punch above their weight Marketplace listings can cut sales cycles from months to weeks Best partnerships form around solving hard problems, not quarterly quotas Confidence gap: only 38% of employees feel AI-ready Participants: Deirdre Toner – President & Chief Commercial Officer, Couchbase Eran Ashkenazi - Chief Business Officer, SentinelOne Connie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web Services Matt Wood – Chief AI & Technology Officer, Amazon Web Services    See 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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  Episode #220

  Ep220: The AI Architecture We Deleted - featuring Demandbase

  Aug 25, 202621 min

  Demandbase 's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer’s highest expectations. Topics Include: AWS's Achint Naveen introduces Demandbase 's VP of Product, Chad Holdorf Demandbase unifies sales, marketing, and revenue data into one view November's architecture used many specialized agents, all committee-approved That design failed constantly — only a 30% conversation pass rate On May 11th, the team deleted the entire architecture Rebuilt in May with AWS Strands: one simpler, flexible agent Pass rate leapt from 30% to 94% almost overnight Week two retention rose from the low 20s to upper 80s Weekly active users grew 45% week-over-week after launch Real customer interviews play, calling the new AI a "dream" One user cut an hour-long report down to fifteen minutes Customers now trace ad impressions directly to closed deals Holdorf's advice: delete and rebuild when architecture gets too complex AWS's Naveen walks through Bedrock, AgentCore, and Strands AgentCore Memory highlighted as Demandbase's next area of exploration Participants: Chad Holdorf – Vice President of Product Management, Demandbase Achint Naveen – Sr Account Manager, Amazon Web Services    See 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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  Episode #219

  Ep219: Scaling Autonomous Operations with AWS DevOps Agent and ServiceNow

  Aug 18, 202624 min

  ServiceNow and AWS reveal how the DevOps Agent and MCP Server Console are turning incident response into a fast, autonomous, fully governed process. Topics Include: Govind Menon ( ServiceNow ) and Arun Jacob (AWS) discuss MCP and A2A strategy. ServiceNow understands workflows; partners with AWS to power them with AI. AI Control Tower governs and secures agent access to enterprise data. MCP is the industry standard for how AI agents read and act. Action Fabric spans A2A, REST APIs, and MCP for agentic work. AWS DevOps Agent, built on Bedrock, resolves incidents through sub-agents. Admin and operator access patterns integrate with Dynatrace, Datadog, Slack, GitHub. Demo: ServiceNow incident automatically triggers DevOps Agent investigation and resolution. DevOps Agent writes findings live back into the ServiceNow incident ticket. ServiceNow champions capping MCP servers at 30 tools for performance. MCP Server Console lets teams build scoped, use-case-specific tool servers. NowAssist skills, Knowledge Graph, and REST APIs become MCP tools. Live demo connects a 38-tool custom MCP server to DevOps Agent. Role-based access ensures users only see their permitted MCP tools. ServiceNow's autonomous ITOM agents point toward unsupervised future operations. Participants: Govind Menon – Head of MCP Product, ServiceNow Arunsingh Jeyasingh Jacob – Senior Solution Architect - ISV, Amazon Web Services    See 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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  Episode #218

  Ep218: Building Bizzdesign Unify - How Three Acquisitions became One AI Strategy

  Aug 10, 202648 min

  Chief Strategy Officer Nick Reed unpacks the "architecture of trust," AI-native enterprise transformation, and why staying laser-focused on customer value is central to Bizzdesign 's bold AI strategy. Topics Include: Bizzdesign : global enterprise transformation SaaS company with Dutch roots, founded 2000, Main Capital-backed Customers include HSBC, Shell, KPMG, and Airbus globally Bold 12-month strategy: acquired Mega International and Alfabet from Software AG Acquisitions tripled revenue, created the first true end-to-end enterprise transformation suite Bizzdesign’s 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise Architecture The launch of Bizzdesign Unify in April 2026, an AI-native transformation collaboration platform Nick Reed's journey: enterprise software, customer value, M&A strategy, and AI-driven transformation How Bizzdesign supports planning, design, and governance pillars across the transformation lifecycle How Bizzdesign Unify complements existing enterprise architecture and portfolio management environments Why Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UI AI acts as a co-worker, supporting transformation work and decisions through curated skills New experience opens enterprise context to broader stakeholders Bizzdesign Unify bridges the gap between messy whiteboards and governed enterprise data Example walkthrough: mapping customer service transformation dependencies and impacts Generative AI creates transformation scenarios grounded in enterprise context Tech stack built on Amazon Bedrock, MCP clients, graph data Balancing agentic AI and automation with human-in-the-loop accountability "Architecture of trust": permissions, oversight, and decentralized control Pricing shifts from seat-based to AI credit consumption model Closing advice: stay laser-focused on core customer value creation Participants: Nick Reed – Chief Strategy Officer, Bizzdesign Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services Johan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web Services See 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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  Episode #217

  Ep217: Owning the Model: Conversational AI at Enterprise Scale with Omilia

  Aug 3, 202622 min

  Omilia ’s CTO shares their strategy on building AI that facilitates billions of calls and what it takes to win the next decade. Topics Include: Miguel Alava welcomes Marios Fakiolas , CTO of Omilia Omilia has built production AI for over 20 years Banking and telco clients demand speed and accuracy Omilia builds its own agent framework and self-learning agents Infrastructure and data matter more than any single model Models are ships; Omilia's infrastructure is the permanent dock AI is core infrastructure at Omilia, not an external API Builders differ from orchestrators by owning bespoke models Platform is a kitchen; models are ingredients for recipes Omilia believes AI should be accessible, not just for elites AI vendors split into camps by economics and scalability Gen AI and ROI don't yet align well industry-wide Small unaddressed pain points can quietly sink AI projects Omilia revisits its offering using deep customer knowledge Cost-efficient economics at billions of calls is Omilia's moat Making AI work differs from making AI profitable Bedrock enables fast prototyping and early customer feedback Omilia moves to SageMaker AI to fully own its models Marios praises the AWS team supporting Omilia daily Speed round covers AI advocates, cloud, and adaptability ahead Participants: Marios Fakiolas – Chief Technical Officer, Omilia Miguel Alava – EMEA ISV General Manager, Amazon Web Services    See 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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