Category: Artificial Intelligence

Crayon developed an intelligent decision support system for Savills Vietnam using AWS which ingests daily news in Vietnamese, translates to English with Amazon Translate, and categorizes articles using Amazon Comprehend. An intelligent search engine built on Amazon Kendra allows users to search in natural language and receive relevant excerpts or answers. With this tool, Savills can stay current on real estate news and trends to identify new opportunities. Optional dashboards provide analytics.

AWS Partner Neurons Lab provides a step-by-step guide to deploy containerized applications on AWS using GitHub Actions, AWS CDK, and other key services. Neurons Lab, with expertise across data science, cloud, and business strategy, solves complex AI challenges and accelerates migration journeys for organizations seeking to modernize through AI integration on AWS. By leveraging AWS CDK constructs to define infrastructure as code, this reusable solution streamlines infrastructure setup and deployments.

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.

AWS launched a Generative AI Center of Excellence to help partners keep pace with rapid advancements in generative AI. The CoE provides exclusive resources like playbooks, trainings, and marketing assets to educate partners on building solutions using AWS generative AI services. We’ll continue adding generative AI resources to accelerate strategies that enable partners to help customers adopt generative AI securely, responsibly, and cost-effectively.

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.

Generative AI has lowered the barriers for many users on how foundation models (FMs) are used to transform products and experiences across industries. Ray is an open source, unified compute framework that makes it easy to scale AI and Python workloads, while provides a fully managed service and allows organizations of all sizes to accelerate building generative AI applications on AWS. Recently, open-source Ray integration with AWS machine learning accelerators was announced.

Thank you for joining us in Las Vegas for AWS re:Invent 2023. We hope you enjoyed all of the educational content and big announcements. If you missed anything or just want to recap, we have rounded up the most relevant launches and program updates available for the AWS Partner and AWS Marketplace communities, including the AWS Partner Keynote with Ruba Borno, which showcased how AWS is improving the partner experience to guide partners to higher-value opportunities and longer-term success.

The rise of IoT has brought a proliferation of connected devices, with more convenience and efficiency for enterprise and end users. Microcontrollers are pivotal to deploying and running AI at the edge, and AWs is collaborating with STMicroelectronics, a leading microcontroller manufacturer, and LACROIX, a leader in smart city solutions, to simplify Edge AI adoption. We’ll highlight the critical role of each partner in making edge computing commercially viable across use cases and industries.

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.