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 219 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 219 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 #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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  Episode #216

  Ep216: Powering AI-enabled Operational Insights with Amazon Bedrock

  Jul 28, 202623 min

  From alert to root cause in one minute - how PagerDuty built autonomous incident response on Amazon Bedrock, and the future of triage and trust. Topics Include: PagerDuty 's agents must perform during 2am outages — stakes are high Software shipping accelerated dramatically; production environments largely did not A 9:30pm slowdown traced to a race condition solved two years earlier The fix was documented — but the context wasn't at hand PagerDuty Advance ships four agents: SRE, Scribe, Shift, Insights Why four, not one? Focus and predictability in non-deterministic systems Saurabh Shanbhag: Bedrock is far more than a model service Zero data retention, PrivateLink, TLS — why enterprises pick Bedrock Frontier models everywhere burns tokens; classify, route, distill, fine-tune SRE agent triages alerts before you even join the call One minute to root cause — context beat raw intelligence Human surfaces versus machine surfaces: MCP and CLI move fastest "The model eats the harness" — every upgrade invalidates foundational components Feeding agents everything failed; compartmentalised investigation threads work better New York Life's three stages of trust, and the seatbelt override that wasn't Participants: Tom Hogarty - Senior Director Product Management, PagerDuty Saurabh Shanbhag – Sr Partner Solution Architect, 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 #215

  Ep215: Insight to Action: AI Agents Transforming Sales Operations

  Jul 21, 202630 min

  Domo and AWS reveal how AI agents freed sales reps from 20 hours of weekly busywork, turning scattered data into real-time coaching and forecasting. Topics Include: Domo and AWS teams introduce today's session on AI agents in sales. Topic: using AI agents to transform sales operations, from insight to action. IT teams increasingly asked to turn data into actionable outcomes, not just access. Domo's CRO wanted AI agents to boost sales rep efficiency significantly. Reps act like "archaeologists," digging through scattered systems for basic context. This digging eats roughly 20 hours weekly, half of reps' time. Goal: personal AI agent per rep, understanding their book of business. Live demo begins: agent app surfaces urgent items needing attention. Agent tracks deal milestones, timelines, and forecasts from call and email data. "Deal coach" feature grades rep performance and suggests next actions. Agent tone can be tuned from gentle to direct, aiding tough feedback. Architecture overview begins: building an AI-ready data foundation first. Data from CRM, calls, and emails flows into a cloud warehouse. Two agents built: automated deal analysis and personalized deal coach. Agents write insights back to CRM, preserving human edit control. Recipe: build foundation, activate with agents, distribute to people. Governance must be embedded throughout, not bolted on afterward. Second example: Fogo do Chão uses AI to analyze restaurant reviews. AWS architecture explained: Domo runs on Bedrock, defaulting to Anthropic models. Q&A: sales team adoption was immediate and enthusiastic post-rollout. Participants: Jason Longhurst – Head of Product Marketing, Domo Aman Tiwari - Sr Solutions 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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