AWS for Software Companies Podcast

By: Amazon Web Services
  • Summary

  • Stay current on new cloud trends. Top software companies, respected industry analysts, and experienced consultants join Amazon Web Services leaders to talk about the cloud topics that matter to you—including the latest in AI, migration, Software-as-a-Service, and more. We produce new episodes regularly.

    © 2025 Amazon Web Services
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Episodes
  • Ep083: Navigating the AWS Bedrock Journey: Planview's AI Evolution
    Mar 13 2025

    Richard Sonnenblick and Lee Rehwinkel of Planview discuss their transition to Amazon Bedrock for a multi-agent AI system while sharing valuable implementation and user experience lessons.

    Topics Include:

    • Introduction to Planview's 18-month journey creating an AI co-pilot.
    • Planview builds solutions for strategic portfolio and agile planning.
    • 5,000+ companies with millions of users leverage Planview solutions.
    • Co-pilot vision: AI assistant sidebar across multiple applications.
    • RAG used to ingest customer success center documents.
    • Tracking product data, screens, charts, and tables.
    • Incorporating industry best practices and methodologies.
    • Can ingest customer-specific documents to understand company terminology.
    • Key benefit: Making every user a power user.
    • Key benefit: Saving time on tedious and redundant tasks.
    • Key benefit: De-risking initiatives through early risk identification.
    • Cost challenges: GPT-4 initially cost $60 per million tokens.
    • Cost now only $1.20 per million tokens.
    • Market evolution: AI features becoming table stakes.
    • Performance rubrics created for different personas and applications.
    • Multi-agent architecture provides technical and organizational scalability.
    • Initial implementation used Azure and GPT-4 models.
    • Migration to AWS Bedrock brought model choice benefits.
    • Bedrock allowed optimization across cost, benchmarking, and speed dimensions.
    • Added AWS guardrails and knowledge base capabilities.
    • Lesson #1: Users hate typing; provide clickable options.
    • Lesson #2: Users don't like waiting; optimize for speed.
    • Lesson #3: Users take time to trust AI; provide auditable answers.
    • Question about role-based access control and permissions.
    • Co-pilot uses user authentication to access application data.
    • Question about subscription pricing for AI features.
    • Need to educate customers about AI's value proposition.
    • Question about reasoning modes and timing expectations.
    • Showing users the work process makes waiting more tolerable.


    Participants:

    • Richard Sonnenblick - Chief Data Scientist, Planview
    • Lee Rehwinkel – Principal Data Scientist, Planview


    See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

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    32 mins
  • Ep082: Accelerating Profitable Growth with SaaS with DataRobot, LaunchDarkly and ServiceNow
    Mar 11 2025
    Executives from DataRobot, LaunchDarkly and ServiceNow share strategies, actions and recommendations to achieve profitable growth in today's competitive SaaS landscape.Topics Include:Introduction of panelists from DataRobot, LaunchDarkly & ServiceNowServiceNow's journey from service management to workflow orchestration platform.DataRobot's evolution as comprehensive AI platform before AI boom.LaunchDarkly's focus on helping teams decouple release from deploy.Rule of 40: balancing revenue growth and profit margin.ServiceNow exceeding standards with Rule of 50-60 approach.Vertical markets expansion as key strategy for sustainable growth.AWS Marketplace enabling largest-ever deal for ServiceNow.R&D investment effectiveness through experimentation and feature management.Developer efficiency as driver of profitable SaaS growth.Competition through data-driven decisions rather than guesswork.Speed and iteration frequency determining competitive advantage in SaaS.Balancing innovation with early customer adoption for AI products.Product managers should adopt revenue goals and variable compensation.Product-led growth versus sales-led motion: strategies and frictions.Sales-led growth optimized for enterprise; PLG for practitioners.Marketplace-led growth as complementary go-to-market strategy.Customer acquisition cost (CAC) as primary driver of margin erosion.Pricing and packaging philosophy: platform versus consumption models.Value realization must precede pricing and packaging discussions.Good-better-best pricing model used by LaunchDarkly.Security as foundation of trust in software delivery.LaunchDarkly's Guardian Edition for high-risk software release scenarios.Security for regulated industries through public cloud partnerships.GenAI security: benchmarks, tests, and governance to prevent issues.M&A strategy: ServiceNow's 33 acquisitions for features, not revenue.Replatforming acquisitions into core architecture for consistent experience.Balancing technology integration with people aspects during acquisitions.Trends in buying groups: AI budgets and tool consolidation.Implementing revenue goals in product teams for new initiatives.Participants:Prajakta Damle – Head of Product / SVP of Product, DataRobotClaire Vo – Chief Product & Technology Officer, LaunchDarklyAnshuman Didwania – VP/GM, Hyperscalers Business Group, ServiceNowAkshay Patel – Global SaaS Strategist, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
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    1 hr and 2 mins
  • Ep081: Customer-First AI: DTEX Systems’ Journey with Generative AI and AWS
    Mar 4 2025

    Ryan Steeb shares DTEX Systems’ strategic approach to implementing generative AI with AWS Bedrock, reducing risk while focusing on meaningful customer outcomes.

    Topics Include:

    • Introduction of Ryan Steeb, Head of Product at DTEX Systems
    • Explanation of insider risk challenges
    • Three categories of insider risk (malicious, negligent, compromised)
    • How DTEX Systems is using generative AI
    • Collection of proprietary data to map human behavior on networks
    • Three key areas leveraging Gen AI: customer value, services acceleration, operations
    • How partnership with AWS has impacted DTEX's AI capabilities
    • Value of AWS expertise for discovering AI possibilities
    • AWS Bedrock providing flexibility in AI implementation
    • Collaboration on unique applications beyond conventional chat assistants
    • AWS OpenSearch as a foundational component
    • Creating invisible AI workflows that simplify user experiences
    • The path to monetization for generative AI
    • Three approaches: direct pricing, service efficiency, operational improvements
    • Second and third-order effects (retention, NPS, reduced churn)
    • How DTEX prioritizes Gen AI projects
    • Starting with customer problems vs. finding problems for AI solutions
    • Business impact prioritization framework
    • Technical capability considerations
    • Benefits of moving AI solutions to AWS Bedrock
    • Fostering a culture of experimentation and innovation
    • Adopting Amazon's "working backwards" philosophy
    • Balancing customer-driven evolution with original innovation
    • Time machine advice: start experimenting with Gen AI earlier
    • Importance of leveraging peer groups and experts
    • Future outlook: concerns about innovation outpacing risk mitigation
    • Security implications of Gen AI adoption
    • Participation in the OpenSearch Linux Foundation initiative
    • Final thoughts on the DTEX-AWS partnership


    Participants:

    • Ryan Steeb – Head of Product, DTEX Systems


    See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

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    28 mins

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