Tag: AWS Well-Architected Partners

SAP customers are integrating non-SAP applications and machine learning models to improve business strategies. Solutions like Syntax CxLink and Amazon Forecast can connect SAP systems to AWS services to provide insights for supply-demand planning, sales, and automation requirements. This post shows how Syntax CxLink transfers SAP data like sales orders and inventory transactions to Amazon Forecast, which uses algorithms to create highly accurate demand forecasts.

Kyndryl built an AI solution on AWS to detect pores in welding using acoustic data and a custom algorithm with voltage data. It’s an end-to-end solution that collects data from welding machines, processes it at the edge to detect pores, and streams it to the AWS cloud for historical analysis. Kyndryl’s pore detection solution on AWS increases quality and optimizes manufacturing, improving defect detection accuracy while increasing efficiency and reducing rework costs and customer churn.

Organizations face challenges managing and sharing knowledge. Traditionally, employees waste time searching documents or asking experts for guidance. AI assistants address this by quickly providing relevant, personalized responses. As Cognizant’s HR assistant use case shows, generative AI solutions enable self-service access to tailored knowledge that can reshape workplace efficiency by streamlining processes, reducing response times, and empowering employees.

Customers are finding that an event-driven, serverless architecture helps them to accelerate business outcomes. Learn how Trek10 worked with Stance, a renowned lifestyle brand that’s revolutionized the sock industry with its innovative designs and high-quality products, to transform from a low-code integration platform-as-a-service (iPaaS) platform to leveraging AWS. Explore the business and technical challenges faced, and the impact of those problems on both customers and Stance’s internal teams.

Learn how Noventiq worked with Cybex Exim to design a solution using Amazon OpenSearch Service that provides a better mobile experience with faster search results. The work enabled Cybex to reduce costs by about 25% while scaling faster and increasing flexibility. Cybex is now able to store more than 1.5TB of data, drive searches with minimum latency of about four seconds for basic search and 6-30 seconds on advanced search, and easily ingest, search, secure, aggregate, and visualize data.

Customers who move to managed databases innovate faster, spending more time building new applications and less time managing infrastructure. Learn how Ippon assisted CallRail’s successful migration from self-managed PostgreSQL to Amazon RDS for PostgreSQL. This migration alleviated the strain caused by substantial workloads on the database and unblocked cost savings by eliminating manual database maintenance and management.

Amazon RDS Custom for Oracle provides all the management benefits of Amazon RDS, as well as the ability to customize the database. While RDS makes it easy to set up, operate, and scale relational databases within AWS, however, legacy applications like Oracle E-Business Suite (E-BS) require customization of database environments not supported by RDS. Learn about Navisite’s implementation of Oracle E-BS with Amazon RDS Custom for Oracle, along with advice for setup and management.

Sports organizations possess a vast amount of data about fans which can be used to generate actionable insights. The ability to send personalized marketing to fans increases satisfaction and loyalty while enabling the team to cross-sell and drive revenue. Learn how Slalom‘s fan engagement data platform accelerator ingests and presents fan data in a centralized layer and empowers organizations to focus on segmentation and insight. The platform is based upon Slalom’s experience with a Premier League football club.

One of the most rigorous activities in the aviation industry is the aircraft’s operational maintenance. It’s a complex analytical task that’s often performed manually. Learn how Capgemini developed a solution called Lifecycle Optimization for Aerospace which aims to accelerate adoption of circular economy practices within the aviation industry. Built on AWS, it analyzes parts documentation and inspection processes, allowing optimization of its lifecycle by turning unstructured usage data into digital assets.

In a recent webinar, Slalom and AWS showcased the incredible potential of chat-based enterprise search powered by AWS generative AI services like Amazon Bedrock. We’re excited to share key takeaways and a more in-depth exploration of the transformative landscape that chat-based search creates. Learn how technologies like Amazon Bedrock empower businesses to build intelligent chat-based interfaces that allow employees to interact with company data conversationally.