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Genspark develops AI products designed to reduce time spent on work by using large language model–based services. Operating in the AI software space, the company focuses on rapid feature development and reliability at scale. Kay Zhu, Co-Founder and CTO of Genspark, shares how generative AI shapes their product direction, including launching new features almost weekly over the past six months.

The livestream focused on bridging the gap between cloud technology and sports innovation, targeting Creator Classic enthusiasts and PGA TOUR fans with basic AWS awareness, specifically addressing future BDM/TDMs seeking to understand enterprise-level AI applications. Learn more: AWS Live with the PGA TOUR: http://go.aws/45XulHN AWS Events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Discover how Siteimprove, a market-leader providing an agentic content intelligence platform for digital accessibility and content performance, harnesses Amazon Bedrock, Bedrock Agents and Nova to create accessible digital experiences. This session takes you from concept to production, showcasing how Siteimprove partnered with the AWS GenAI Innovation Center to scale accessibility assessments to millions of requests each month while improving accuracy and cutting costs.

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/dms-permissions-oracle-source The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Christine shows you what the required permissions for AWS DMS when you use Oracle as the source endpoint.

Join Crane Worldwide, a global logistics and supply chain leader, as they share their cloud transformation journey migrating to AWS within a multi-cloud architecture that includes Azure and OCI. Crane's Chief Technology Officer will detail their strategy for designing and implementing this enterprise-scale migration, including architectural decisions that enable global application scaling across their expanding logistics network.

Join us for an exciting live broadcast exploring Amazon Aurora DSQL, the fastest serverless distributed SQL database designed to automatically scale from you hobby project to always-available applications serving a global customer base. This session will showcase how Aurora DSQL is revolutionizing database architecture with virtually unlimited scalability, active-active high availability, and zero infrastructure management.

Why does AI-generated code break in production? Missing context. This interactive Code Talk transforms basic AI outputs into robust AWS solutions through strategic context injection. Watch live coding evolve generic "create an API" prompts into production-ready serverless architecture. Discover how business context, technical constraints, and AWS best practices dramatically improve AI results. Learn how development teams are shifting from code reviewers to context architects.

Twitch stream from aws

Twitch stream from aws

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/aurora-mysql-read-replicas The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Sreedhar shows you how to resolve issues when using read replicas in Amazon Aurora.

Maximise the value of your legacy systems and accelerate your organisation’s journey to the cloud. Discover how AWS is revolutionising migration and modernisation, turning complex challenges into opportunities. Explore cutting-edge services that redefine digital transformation, from AI-powered discovery tools to automated refactoring solutions. Learn how industry leaders use these tools to reduce costs, eliminate licensing issues, and speed up innovation.

Enterprises often withhold sensitive data from AI models due to risk, which can result in limited business insights. This session explores how tokenization can address this challenge by securing training and response data, which renders the data useless to unauthorized access and potential exposure while preserving its analytical value.