Neel Sendas

Infor (a Koch Industries company) runs one of the largest enterprise footprints on AWS. As that footprint grew, manual release gates, incident investigations, and periodic security assessments couldn't keep pace.

Learn how Koch Industries revolutionized their AWS Well-Architected reviews using generative AI. We'll demonstrate how combining Amazon Bedrock Knowledge Base and MCP automates architectural assessments that previously took weeks.

Ready to elevate your generative AI investment from prototype to full-scale deployment, or gearing up for a marketing event that’s set to drive significant customer traffic? In this session, explore how customers leverage AWS Countdown and AWS Countdown Premium to strengthen resilience and scale effectively.

In this session, learn how to improve resilience, operational efficiency, cost optimization, and security using enterprise support tools such as AWS Trusted Advisor, AWS Incident Detection and Response, the security improvement program, and cost-optimization workshops.

The AWS Well-Architected security pillar provides best-practice recommendations and strategies to use when designing cloud architectures with security in mind. In this session, explore security strategies that you can use to accelerate your cloud adoption journey.

Georgia-Pacific, a Koch Industries company, has embarked on a cloud application modernization and resiliency improvement journey. In this session, learn how Georgia-Pacific used AWS Migration Hub Refactor Spaces to modernize applications, reduce the complexity of iteratively extracting capabilities as new microservices, and reroute traffic from old to new.

In this chalk talk, dive deep on a key principle of IoT device software development operational excellence: implementing rigorous and functional testing. Learn from AWS IoT experts how to use tools such as AWS IoT Core Device Advisor, a cloud-based, fully managed test capability, to validate IoT devices for reliable and secure connectivity to AWS IoT Core before deploying devices to production.

AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data. In this session, we demonstrate how you can use AWS IoT Analytics with machine learning to incorporate the power of ambient intelligence into your IoT workflow and extract valuable insights from your generated IoT data.

Companies create IoT proof of concepts (PoCs) or small tests to fine-tune IoT designs before deploying new technology across a plant or plants. Large-scale deployments present challenges that might not be uncovered during the PoC stage.