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

AWS for Software Companies Podcast

AWS for Software Companies Podcast

著者: AWS - Amazon Web Services
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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.

© 2025 Amazon Web Services
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  • Ep213: Prompt to Production - AWS Database Integration in Vercel
    2026/07/07

    Learn how Vercel's "self-driving infrastructure" vision pairs with AWS databases to eliminate backend friction, securely cutting Aurora Serverless creation time from minutes to seconds.

    Topics Include:

    • Hedieh Zandi (Vercel) and Manbeen Kohli (AWS) introduce prompt-to-production session
    • Vercel powers 18 million developers, maintains Next.js and AI SDK
    • Vercel's agentic infrastructure runs on AWS Lambda, CloudFront, and S3
    • AI now generates frontend, APIs, and workflows for small teams
    • Backend friction remains: credentials, provisioning, database configuration still hard
    • Vercel envisions "self-driving infrastructure" that adapts automatically to apps
    • New AWS partnership brings native Aurora DSQL and Postgres integration
    • Manbeen explains databases now built into Vercel Marketplace and v0
    • Aurora Serverless database creation sped up from minutes to seconds
    • Aurora Postgres, DynamoDB, and DSQL scale prototypes without rewrites
    • Pre-configured templates help builders start RAG or shopping AI apps
    • Database security uses OIDC and IAM tokens, no stored passwords
    • AWS chosen for agents: low latency, autonomy, one-click simplicity
    • skills.sh gives agents reusable instructions, mirrors AWS Kiro's "powers"
    • v0 lets users build full-stack apps using natural language prompts
    • v0 uses Bedrock models and deploys directly on Vercel infrastructure
    • Live demo: v0 builds restaurant app, provisions database, adds Stripe checkout
    • Demo ends at AWS console; Rauch quote and hackathon close session


    Participants:

    • Hedieh Zandi - Product Lead, Vercel
    • Manbeen Kohli - Director of Product Management, Aurora and RDS Databases, 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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    24 分
  • Ep212: Reinventing with Agentic AI - How Kaltura Is Pivoting Their Platform for the Future
    2026/06/30

    Kaltura's Ruthie Eisenberg and Yair Neumann reveal how the video giant is reinventing itself as an agentic digital experience company built on AI avatars and hyper-personalized content.

    Topics Include:

    • Kaltura founded 2006, went public on NASDAQ in 2021.
    • Kaltura reinventing itself from video company to agentic digital experience company.
    • Shift from static content delivery to hyper-personalized conversational experiences.
    • Partners and customers now demand intelligence, not just video infrastructure.
    • Kaltura's mission: powering agentic experiences across customer and learner journeys.
    • AWS co-sell motion strengthened as Kaltura runs on AWS AI infrastructure.
    • Camille used a Kaltura avatar to scale her own presentations.
    • Most enterprise websites bury content behind thousands of static links.
    • Kaltura builds personalised web pages on the fly, in real time.
    • Over 80% of content users see is surfaced for the very first time.
    • Acquisitions of eSelf.ai and PassFactory complete Kaltura's agentic content flywheel.
    • PassFactory answers: what should this specific person see next?
    • eSelf.ai enables multimodal conversational avatars that guide users emotionally.
    • 20 years of behavioral data underpins Kaltura's content intelligence advantage.
    • GPU scarcity and compute costs shape every AI architecture decision Kaltura makes.
    • Kaltura optimises model tiers — strongest for planning, lighter models for execution.
    • Fidelity, speed, and cost form a constant triangle in every AI product decision.
    • Go-to-market and product teams now work closer together than ever before.
    • Pricing shifting from seat-based SaaS to consumption and outcome-based models.
    • Kaltura co-creating pricing frameworks with customers across different verticals.
    • Internal product agent now handles research, stories, and data analysis autonomously.
    • Small two-to-three person squads move fastest in the current AI environment.
    • Yair's advice: fail at least once a week, succeed once a quarter.
    • Kaltura scaled its CEO via avatar for a live investor earnings call.
    • Ruthie's advice: keep the customer at the centre of every single decision.


    Participants:

    • Ruthie Eisenberg – Vice President, Strategic Partnerships, Kaltura
    • Yair Neumann – Senior Vice President of Product, Kaltura
    • 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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    42 分
  • Ep211: Going All In - How Monday.com Rebuilt Its Mission With Agentic AI
    2026/06/22

    With 250,000 customers and $1.2B in revenue, Monday.com's CPTO explains why they threw out their roadmap and rebuilt everything around agentic AI.

    Topics Include:

    • Daniel Lereya joined Monday.com when it had just 30 people and five engineers.
    • He grew the R&D org from five engineers to roughly 900 over a decade.
    • Three years ago Daniel became Monday.com's first ever CPTO.
    • Monday.com initially approached AI by adding small features across the product.
    • They called this early phase "sprinkling AI dust" — helpful but not transformative.
    • A pivotal board meeting made Daniel realise AI hadn't changed Monday's core value.
    • Monday.com decided to rethink its mission from first principles around AI.
    • The new mission: AI agents that actually execute work, not just manage it.
    • AI gives businesses an "infinite workforce" regardless of company size.
    • Agents can now do hyper-personalised work at a scale humans simply cannot.
    • Monday's platform puts agents at the centre, replacing boards and dashboards.
    • Shared context and human-in-the-loop handoffs make their agents uniquely powerful.
    • Monday ran an "AI month" — pausing the entire 900-person builder org to transform.
    • The month rebuilt team mindset and energy, reminding staff of early startup days.
    • Monday also ran an "agentic week" where every department built their own agents.
    • Finance built agents to automatically match incoming payments to customer accounts.
    • Scaling AI adoption internally remains the biggest challenge across businesses today.
    • Monday introduced "effective AI" — balancing capability with cost efficiency.
    • They acquired voice AI startup One AI to add specialised model capabilities.
    • On pricing, Monday shifted to a hybrid seats-plus-AI-credits consumption model.


    Participants:

    • Daniel Lereya – Chief Product and Technology Officer, Monday.com
    • 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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    44 分
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