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[This session is conducted in Japanese] AWS re:Invent is our biggest, boldest, most comprehensive AWS event of the year, where the global cloud community unites to build the future. Building your optimized schedule that fits your learning needs is important to maximize your experiences at re:Invent. In this session, you can get new insights from 2 guest speakers who have much experience to re:Invent both of Technology focused and Business focused.

How AWS Partners and customers are working together to address generative AI adoption. We present generative AI industry research with insights into customer buying behavior and how partners are uniquely positioned to address. Additionally, we cover insights on the AWS Partner Programs and resources designed to make both partners and customers successful in achieving their desired outcomes with generative AI. Learn more: More AWS events: https://go.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/ja/knowledge-center/ec2-static-dns-ubuntu-debian The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Itagaki shows you how to assign a static DNS server to an Amazon EC2 instance that persists when you reboot.

Companies like Notion, GitLab, and DoorDash run their AI inference on Fireworks because they want to own their models without sacrificing performance. We'll show you how or stack optimizations – custom CUDA kernels, speculative decoding, disaggregated serving – enabling blazing fast inference at scale. Then we'll walk through real AWS deployment patterns: fully managed multi-region or in-VPC deployment on SageMaker/EKS/ECS, or locked down in your VPC.

Learn how automated verification techniques are transforming outage management. This solution reduces response times by delivering accurate, real-time ETA updates for customer service tickets while validating AI-generated outage classifications to ensure reliability. It incorporates standardized protocols aligned with regulatory guidelines and maintains compliance with NERC and FERC requirements.

In this AWS Edge Innovation Spotlight, we explore Nomad Media, an intuitive AWS cloud-native CMS platform that allows companies to manage, enrich, discover, and distribute media content. Leveraging AWS' advanced services of AWS AI/ML and AWS Media Services, Nomad empowers ever-growing media content libraries - for both VOD and Live broadcast streams.

AI is transforming how AWS and partners co-sell by enhancing scale, speed, and precision throughout the joint sales cycle. AWS leverages AI agents to streamline lead qualification, solution validation, partner-matching, and deal progression. Through APN Customer Engagements (ACE) Program, AI supports both AWS sellers and partners from pre-sales planning to deal submission, improving win rates and shortening sales cycles.

Japanese startup, SDio, has been transforming streaming data into actionable intelligence through cutting-edge Deep Search & Analytics empowering enterprises with precise video and audio intelligence to redefine business agility. Find out how they built large scale video understanding engine to unlock intelligence for enterprises. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

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For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: [https://repost.aws/knowledge-center/athena-hive-bad-data-parsing-field-value] The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Anjana shows you how to resolve the hive bad data error in Amazon Athena queries.

Join Saptarshi Banerjee (AWS Senior Solutions Architect) and Joe Marta (Coalfire Product Director for Applied AI) to discover how enterprises can leverage Audit AI to build production-ready generative AI applications. This session addresses key enterprise challenges including quality, scale, and control through Coalfire's advanced document processing, scalable architecture, and prompt flows as code.

Exciting news from IAA Mobility: QCraft CTO Dong Li shares how they're revolutionizing autonomous driving with #AWS and #GenerativeAI! Key highlights from our conversation: • QCraft is leveraging AI to create photorealistic scenarios for autonomous vehicle testing • Their innovative "world model" allows algorithm validation in never-before-seen scenarios • Safety and compliance are paramount - extensive simulation testing ensures reliable performance • Global expansion plans include new...