『AWS Partners Unplugged』のカバーアート

AWS Partners Unplugged

AWS Partners Unplugged

著者: Amazon Web Services (AWS)
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このコンテンツについて

AWS Partner Unplugged is a podcast that speaks to all aspects of AWS' technology applications. In each episode we will select a specific topic (e.g., Large Language Models. significant use case applications, partnership best practices) and an AWS host will interact with subject matter experts to deliberate upon the important reference points within each area of discussion. We are not afraid of ideas that make us more curious and enable us to learn collectively. We look forward to robust discussions, sometimes funny ones too, with the overall goal of making us all intellectually better after than we were before!

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  • AWSPU Ep 9: APN Blogs May Roundup: Innovations in AI Observability, Accessibility, and Performance
    2025/06/02

    In this episode of AWS Partners Unplugged, we explore four innovative collaborations between AWS and its partners showcased in recent APN blogs. We highlight how Dynatrace provides comprehensive observability for generative AI applications built on Amazon Bedrock, ensuring reliable and compliant AI operations with features like guardrail analysis and audit trails. We then examine how AWS and Intel are making large language models more accessible and cost-effective through model distillation and CPU optimizations. We also discuss MongoDB Atlas's impressive 14x improvement in search indexing performance by leveraging Amazon S3 for index snapshots, and conclude with an exploration of an AI assistant for Splunk that transforms natural language queries into efficient search queries using Amazon Bedrock agents. Throughout the episode, we emphasize how these technical innovations deliver tangible business value by addressing real-world challenges for partners and their customers.

    The blog links:

    • https://aws.amazon.com/blogs/apn/elevating-llm-observability-with-amazon-bedrock-and-dynatrace/
    • https://aws.amazon.com/blogs/apn/how-aws-and-intel-make-llms-more-accessible-and-cost-effective-with-deepseek/
    • https://aws.amazon.com/blogs/apn/improving-mongodb-atlas-search-elasticity-with-amazon-s3/
    • https://aws.amazon.com/blogs/apn/unlocking-the-power-of-splunk-with-amazon-bedrock-an-agentic-ai-approach-to-build-customized-splunk-assistants-using-bedrock-agents/


    To reach us: aws-partner-unplugged-podcast-hosts@amazon.com

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    23 分
  • AWSPU Ep 8: AWS Region Expansion Strategies for Partners
    2025/05/14

    In this episode of AWS Partners Unplugged, we discuss AWS region expansions with Liora and Nehika, two leads from the AWS Specialist and Partner Organization. They explore how AWS partners grow by expanding into new AWS regions, with AWS providing significant support through the Region Custom Funding program. The discussion covers key aspects of regional expansion including technical readiness, compliance requirements, go-to-market strategies, and co-branding opportunities. They highlight upcoming AWS region launches in Taiwan, New Zealand, Germany (European Sovereign Cloud), Kingdom of Saudi Arabia, and Chile over the next two years, and explain how partners can leverage AWS to support infrastructure deployment, compliance readiness, marketing, and sales incentives when expanding into these new regions.


    Liora: https://www.linkedin.com/in/liora-rait-b4862b21/

    Nehika: https://www.linkedin.com/in/nehikamiglani/

    awsnewregioncustomfunding

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    12 分
  • AWSPU Ep 7: Using Agentic AI to Orchestrate Business Transformation with Workato and AWS
    2025/05/06

    In this insightful episode, we sit down with Chandar Pattabhiram, Chief Go-to-Market Officer at Workato, who shares how their integration platform is revolutionizing business connectivity by orchestrating data,

    processes, and applications across the enterprise while eliminating traditional bottlenecks. Chander highlights Workato's impressive scale on AWS—processing over 750 billion tasks in the past year—and details

    their vision for bringing agent capabilities from edge to core through complete enterprise context, model choice flexibility, pre-configured agents, no-code environments, and robust governance built on AWS's

    scalable infrastructure. The conversation explores the joint checklist Workato developed with AWS covering best practices for agent deployment and their comprehensive partnership spanning thought leadership, AWS

    Marketplace integration, and collaborative customer success stories, while offering a glimpse into Workato's strategic investment in their "Workato One" unified agent enablement platform that combines agent

    foundations with enterprise context, governance, and AWS cloud scalability.

    Chandar: https://www.linkedin.com/in/chandarp/

    Sri: https://www.linkedin.com/in/sraghavan24/

    Workato Agentic Enterprise: https://www.workato.com/the-connector/workato-one/


    Agentic Enterprise Checklist

    • Scalable global infrastructure
    • Enterprise-wide trust & governance
    • Both coded & configurable agents
    • Model choice
    • Orchestration: Enterprise context & skills
    • Comprehensive connectivity
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    27 分

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