AWS for Software Companies Podcast

AWS - Amazon Web Services

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.

  1. 2日前

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

    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 agentsOrganizations sit at different AI maturity levels, not uniformOnly 31% of adopters see measurable financial impact from AIAdoption friction, not access, is what stalls most AI valueSegment your workforce: innovators, pragmatic majority, and reluctant laggardsGive innovators tools, budget, and freedom before chasing laggardsVisible recognition programs turn early innovators into internal role modelsAI-ready data infrastructure remains the top blocker to real adoptionFuture AI value concentrates at customer-facing, transaction-level touchpointsCoding tools see fast uptake; broader business adoption lags behindAI is quietly rewriting SEO, SEM, and lead-routing strategyAgent trust requires both clean data and strong safety guardrailsHuman-in-the-loop review lets AI handle investigation, humans decide outcomesIn agentic AI, go-to-market partnerships matter more than past tech wavesStrong tech-platform partnerships help smaller vendors punch above their weightMarketplace listings can cut sales cycles from months to weeksBest partnerships form around solving hard problems, not quarterly quotasConfidence gap: only 38% of employees feel AI-ready Participants: Deirdre Toner – President & Chief Commercial Officer, CouchbaseEran Ashkenazi - Chief Business Officer, SentinelOneConnie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web ServicesMatt 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/

  2. 8月25日

    Ep220: The AI Architecture We Deleted - featuring Demandbase

    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 HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of exploration Participants: Chad Holdorf – Vice President of Product Management, DemandbaseAchint 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/

  3. 8月18日

    Ep219: Scaling Autonomous Operations with AWS DevOps Agent and ServiceNow

    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/

  4. 8月11日

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

    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-backedCustomers include HSBC, Shell, KPMG, and Airbus globallyBold 12-month strategy: acquired Mega International and Alfabet from Software AGAcquisitions tripled revenue, created the first true end-to-end enterprise transformation suiteBizzdesign’s 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise ArchitectureThe 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 transformationHow Bizzdesign supports planning, design, and governance pillars across the transformation lifecycleHow Bizzdesign Unify complements existing enterprise architecture and portfolio management environmentsWhy Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UIAI acts as a co-worker, supporting transformation work and decisions through curated skillsNew experience opens enterprise context to broader stakeholdersBizzdesign Unify bridges the gap between messy whiteboards and governed enterprise dataExample walkthrough: mapping customer service transformation dependencies and impactsGenerative AI creates transformation scenarios grounded in enterprise contextTech stack built on Amazon Bedrock, MCP clients, graph dataBalancing agentic AI and automation with human-in-the-loop accountability"Architecture of trust": permissions, oversight, and decentralized controlPricing shifts from seat-based to AI credit consumption modelClosing advice: stay laser-focused on core customer value creation Participants: Nick Reed – Chief Strategy Officer, BizzdesignKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesJohan 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/

  5. 8月4日

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

    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 OmiliaOmilia has built production AI for over 20 yearsBanking and telco clients demand speed and accuracyOmilia builds its own agent framework and self-learning agentsInfrastructure and data matter more than any single modelModels are ships; Omilia's infrastructure is the permanent dockAI is core infrastructure at Omilia, not an external APIBuilders differ from orchestrators by owning bespoke modelsPlatform is a kitchen; models are ingredients for recipesOmilia believes AI should be accessible, not just for elitesAI vendors split into camps by economics and scalabilityGen AI and ROI don't yet align well industry-wideSmall unaddressed pain points can quietly sink AI projectsOmilia revisits its offering using deep customer knowledgeCost-efficient economics at billions of calls is Omilia's moatMaking AI work differs from making AI profitableBedrock enables fast prototyping and early customer feedbackOmilia moves to SageMaker AI to fully own its modelsMarios praises the AWS team supporting Omilia dailySpeed round covers AI advocates, cloud, and adaptability ahead Participants: Marios Fakiolas – Chief Technical Officer, OmiliaMiguel 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/

  6. 7月28日

    Ep216: Powering AI-enabled Operational Insights with Amazon Bedrock

    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 highSoftware shipping accelerated dramatically; production environments largely did notA 9:30pm slowdown traced to a race condition solved two years earlierThe fix was documented — but the context wasn't at handPagerDuty Advance ships four agents: SRE, Scribe, Shift, InsightsWhy four, not one? Focus and predictability in non-deterministic systemsSaurabh Shanbhag: Bedrock is far more than a model serviceZero data retention, PrivateLink, TLS — why enterprises pick BedrockFrontier models everywhere burns tokens; classify, route, distill, fine-tuneSRE agent triages alerts before you even join the callOne minute to root cause — context beat raw intelligenceHuman surfaces versus machine surfaces: MCP and CLI move fastest"The model eats the harness" — every upgrade invalidates foundational componentsFeeding agents everything failed; compartmentalised investigation threads work betterNew York Life's three stages of trust, and the seatbelt override that wasn't Participants: Tom Hogarty - Senior Director Product Management, PagerDutySaurabh 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/

  7. 7月21日

    Ep215: Insight to Action: AI Agents Transforming Sales Operations

    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, DomoAman 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/

  8. 7月14日

    Ep214: Teradata, Amazon Bedrock AgentCore Unlock Zero-Data-Movement Analytics

    Curious how AI can query your enterprise data without moving it or making things up? AWS and Teradata break down a trustworthy analyst agent built for real production use. Topics Include: Neha Wadhera (AWS) introduces Trinath Yarlagadda and the Teradata Analyst AgentEnterprise AI data prep is costly, stalling most orgs at experimentationAgent answers plain-English questions via traceable SQL, zero data movementBarrier removal drives 3.7x ROI and 40% productivity gainsHealthcare demo setup: hospital COPD readmissions, ~$10K cost per incidentFour design principles: traceability, no data movement, deterministic-first, governance as codeMain orchestrator agent plans, writes SQL, calls Teradata MCP serverComplex questions escalate to a context-isolated data scientist agentBuilt on Claude Agent SDK, running Bedrock Claude Sonnet/Haiku/OpusLive demo: COPD readmission rates explored through iterative agent reasoningDelegation demo: data scientist agent runs in-database analysis, surfaces factorsPre/post tool hooks log every step and cost to CloudWatchAgent hosted on Amazon Bedrock AgentCore, fully serverless and scalableAgentCore delivers runtime, memory, identity, and observability out of the boxLessons learned: guardrails first, deterministic ops, multi-agent registry, ongoing evaluation Participants: Trinath Yarlagadda – Principal Solution Architect – Agentic AI, TeradataNeha Wadhera – Sr Solutions 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/

すべて見る（221）

番組について

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.

情報

  • クリエイター
    AWS - Amazon Web Services
  • 配信期間
    23年 - 26年
  • エピソード
    221
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2025 Amazon Web Services
  • 番組のWebサイト
    AWS for Software Companies Podcast

その他のおすすめ