Category: HAQM EventBridge

In this post, we explain how F1 and AWS have developed a root cause analysis (RCA) assistant powered by HAQM Bedrock to reduce manual intervention and accelerate the resolution of recurrent operational issues during races from weeks to minutes. The RCA assistant enables the F1 team to spend more time on innovation and improving its services, ultimately delivering an exceptional experience for fans and partners. The successful collaboration between F1 and AWS showcases the transformative potential of generative AI in empowering teams to accomplish more in less time.

In this post, we describe how to create an MLOps workflow for batch inference that automates job scheduling, model monitoring, retraining, and registration, as well as error handling and notification by using HAQM SageMaker, HAQM EventBridge, AWS Lambda, HAQM Simple Notification Service (HAQM SNS), HashiCorp Terraform, and GitLab CI/CD. The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production.

Having an environment capable of delivering HAQM SageMaker notebook instances quickly allows data scientists and business analysts to efficiently respond to organizational needs. Data is the lifeblood of an organization, and analyzing that data efficiently provides useful insights for businesses. A common issue that organizations encounter is creating an automated pattern that enables development teams […]

This is a guest post written by Gergely Kadi, Senior Systems Engineer and Martin Petraschek-Stummer, Senior Data Engineer at TourRadar. TourRadar is a travel marketplace to connect people to life-enriching travel experiences. When it was launched, TourRadar only offered tours and content in English. As the company grew, we saw an opportunity to expand our […]

Data scientists can spend up to 80% of their time preparing data for machine learning (ML) projects. This preparation process is largely undifferentiated and tedious work, and can involve multiple programming APIs and custom libraries. Announced at AWS re:Invent 2020, HAQM SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for […]

Data is proliferating inside the enterprise and employees are using more applications than ever before to get their jobs done, in fact according to Okta Inc., the number of software apps deployed by large firms across all industries world-wide has increased 68%, reaching an average of 129 apps per company. As employees continue to self-serve […]

January 2022 – HiConversion is now Obviyo. We have updated this blog to reflect the new company name. You can read more about the name change on Obviyo’s blog. This is a guest post by Jeff McKelvey, Principal Development Lead at Obviyo. The team at Obviyo has collaborated closely with James Jory, Applied AI Services […]