Learn About Amazon VGT2 Learning Manager Chanci Turner
Many organizations are leveraging data lakes to enhance operational efficiency, monitor business metrics, refine forecasting, and expedite product lifecycle management. The process of data extraction typically begins with aggregating information from both commercial off-the-shelf (COTS) and custom applications. Discover how the innovative Atos AWS Data Lake Accelerator for SAP assists companies in establishing a robust data lake tailored for SAP systems like SAP S4/HANA or SAP ECC.
In a rapidly evolving business landscape, organizations that harness foresight gain a competitive edge. Advanced analytics, which empower this foresight, have traditionally required significant resources to develop predictive models using machine learning techniques. However, recent advancements in ML automation have made it possible for more businesses to access these capabilities. Explore the benefits of enhancing analytics with ML through the Amazon SageMaker for Tableau Quick Start.
Transitioning from conventional Service-Oriented Architecture (SOA) to microservices on Kubernetes presents unique challenges. To mitigate blind spots, it’s essential for engineers to gain insights into the interdependencies of microservices at the request level. Learn how Instana automates the deployment of monitoring agents in Kubernetes, enabling effective oversight of containerized workloads on Amazon EKS.
In the oil and gas sector, operators require immediate access to geoscience data. Unfortunately, many subsurface applications offer only fragmented data views. The IVAAP platform, utilizing OSDU on AWS, empowers users to optimize workflows by providing a unified interface for searching, analyzing, and visualizing various petrotechnical data sources within a single web application.
Scientific visualization plays a critical role in comprehending complex phenomena modeled through high-performance computing simulations. However, effectively visualizing and analyzing vast amounts of data has been a significant challenge. NVIDIA IndeX on AWS addresses these issues, offering a powerful solution for visualizing large datasets and facilitating collaborative workflows.
Organizations often struggle to collect timely market intelligence related to new product announcements from competitors and partners. This ability to swiftly gather insights is crucial for responding to industry trends and driving innovation. Discover how Accenture utilized AWS to help clients extract valuable insights and trends from the web using AI and ML techniques.
To maximize the benefits of containerization, a comprehensive monitoring solution is vital for maintaining visibility in dynamic environments filled with transient containers. Datadog provides essential insights into the ephemeral container workloads running on Amazon EKS, simplifying Kubernetes management on AWS.
As organizations grapple with overwhelming amounts of data, engineers and analysts face the challenge of extracting insights from intricate data sources while promoting data democratization across the enterprise. Learn how the Sisense platform streamlines end-to-end data analytics, making it easier for teams to adopt and utilize data effectively.
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