『AWS for Software Companies Podcast』のカバーアート

AWS for Software Companies Podcast

AWS for Software Companies Podcast

著者： Amazon Web Services
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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.

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  • Ep135: Petabytes and Milliseconds: How Panther scales Security Monitoring with Cloud-Native AI

    Ep135: Petabytes and Milliseconds: How Panther scales Security Monitoring with Cloud-Native AI
    2025/08/22

    Panther CEO William Lowe explains how integrating Amazon Bedrock AI into their security platform delivered 50% faster alert resolution for enterprise customers while maintaining the trust and control that security practitioners demand.

    Topics Include:

    • Panther CEO explains how Amazon partnership accelerates security outcomes for customers
    • Cloud-native security platform delivers 100% visibility across enterprise environments at scale
    • Customers like Dropbox and Coinbase successfully replaced Splunk with Panther's solution
    • Platform processes petabytes monthly with impressive 2.3-minute average threat detection time
    • Critical gap identified: alert resolution still takes 8 hours despite fast detection
    • Security teams overwhelmed by growing attack surfaces and severe talent burnout
    • Constant context switching across tools creates inefficiency and organizational collaboration problems
    • AI integration with Amazon Bedrock designed to accelerate security team decision-making
    • Four trust principles: verifiable actions, secure design, human control, customer data ownership
    • Results show 50% faster alert triage; future includes Slack integration and automation


    Participants:

    · William H Lowe – CEO, Panther

    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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    11 分
  • Ep134: Prime Opportunities for ISVs by Leveraging Generative AI

    Ep134: Prime Opportunities for ISVs by Leveraging Generative AI
    2025/08/20

    AWS executives reveal how generative AI is fundamentally reshaping ISV business models, from pricing strategies to go-to-market approaches, and provide actionable insights for software companies navigating this transformation.

    Topics Include:

    • Alayna Broaderson and Andy Perkins introduce AWS Infrastructure Partnerships and ISV Sales
    • Generative AI profoundly changing how ISVs build, deliver and market software products
    • Two ISV categories emerging: established SaaS companies versus pure gen AI startups
    • Legacy SaaS firms struggle with infrastructure modernization and potential revenue cannibalization
    • Pure gen AI companies face scaling challenges, reliability issues and cost optimization
    • Revenue models shifting from subscription-based to consumption-based pricing per token/prompt/task
    • Future-proofing architecture critical as technology evolves rapidly like F-35 fighter jets
    • Data becoming key differentiator, especially domain-specific datasets in healthcare and legal
    • Balancing cost, accuracy, latency and customer experience creates complex optimization challenges
    • Multiple specialized models replacing single solutions, with agentic AI accelerating this trend
    • Human capital challenges include retraining engineering teams and finding expensive AI talent
    • Security, compliance and explainability now mandatory - no more black box solutions
    • Enterprise customers struggle with data organization and quantifying clear gen AI ROI
    • ISV pricing models evolving with tiered structures and targeted vertical use cases
    • Traditional SaaS playbooks failing in generative AI landscape due to ROI uncertainty
    • POC-based go-to-market with free trials and case study selling proving most effective
    • Pricing strategies include AI gates, credit systems and separate SKUs for services
    • Customer trust requires proactive security messaging and auditable, transparent AI solutions
    • Modular architecture enables evolution as new technologies emerge in fast-changing market
    • AWS positioning as ultimate gen AI toolkit partner with ISV collaboration opportunities


    Participants:

    • Alayna Broaderson - Sr Manager, Infrastructure Technology Partnership, Amazon Web Services
    • Andy Perkins - General Manager, US 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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    31 分
  • Ep133: Enabling Better Customer Experiences with Amazon Q Index w/ PagerDuty and Zoom

    Ep133: Enabling Better Customer Experiences with Amazon Q Index w/ PagerDuty and Zoom
    2025/08/18
    Hear how PagerDuty and Zoom built successful AI products using Amazon Q-Index to solve real customer problems like incident response and meeting intelligence, while sharing practical lessons from their early adoption journey.Topics Include:David Gordon introduces AWS Q-Business partnerships with PagerDuty and ZoomMeet Everaldo Aguiar: PagerDuty's Applied AI leader with academia and enterprise backgroundPaul Magnaghi from Zoom brings AI platform scaling experience from SeattleQ-Business launched over a year ago as managed generative AI servicePlatform enables agentic experiences: content discovery, analysis, and process automationBuilt on AWS Bedrock with enterprise guardrails and data source integrationPartners wanted backend capabilities but preferred their own UI and modelsQ-Index provides vector database functionality for ISV partner integrationsEveraldo explains PagerDuty's evolution from traditional ML to generative AI solutionsHistorical challenges: alert fatigue, noise reduction using machine learning approachesNew gen AI opportunities: incident context, relevant data surfacing, automated postmortemsEngineering teams faced learning curve with agents and high-latency user experiencesPaul discusses Zoom's existing AI: virtual backgrounds and voice isolation technologyAI Companion strategy focused on simplicity during complex generative AI adoptionProblem identified: valuable meeting conversations disappear after Zoom calls endCustomer feedback revealed need for enterprise data integration beyond basic summariesGoal: combine unstructured conversations with structured enterprise data seamlesslyPagerDuty Advanced provides agentic AI for on-call engineers during incidentsQ-Index integration accesses internal documentation: Confluence pages, runbooks, proceduresDemo shows Slack integration pulling relevant incident response documentation automaticallyAccess control lists ensure users see only data they're authorized to accessZoom's AI companion panel enables real-time meeting questions and summariesExample use cases: decision tracking, incident analysis, action item identificationAdvice for starting: standardize practices and create internal development templatesSingle data access point reduces legal and security evaluation overheadCenter of excellence approach helps teams move quickly across product divisionsCut through generative AI buzzwords to focus on real user valueFederated AWS Bedrock architecture provides model choice and flexibility meeting customersCustomer trust alignment between Zoom conversations and AWS data handlingGetting started: PagerDuty Advance available now, Zoom AI free with paid add-onsParticipants:Everaldo Aguiar – Senior Engineering Manager, Applied AI, PagerDutyPaul Magnaghi – Head of AI & ISV Go To Market, ZoomDavid Gordon - Global Business Development, Amazon Q for Business. Amazon Web ServicesFurther Links:PagerDuty Website, LinkedIn & AWS MarketplaceZoom Website, LinkedIn & AWS MarketplaceSee 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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    23 分
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