Tag: Amazon SageMaker

The Digital Platform for Next Generation Agriculture is built by Tata Consultancy Services (TCS) to address challenges faced by farmers and associated enterprises including agri-input companies. It enables the use of predictive analytics for crop acreage, crop yield, crop health, soil moisture status, weather and pest forecasts, and resource quality assessment to help farmers minimize risk. The platform comprises of big-geospatial, IoT, and climate data analysis framework built on AWS.

Infosys Digital Health Platform is a connected health platform powered by AWS and is designed to help patients lead a healthy life. It achieves this through regular and in-depth insights on a patient’s daily habits and streaming of vital health parameters from different connected devices. It also tracks symptoms and quality-of-life indicators. With this information, the platform analyses data for multiple therapeutic areas and provides necessary insights.

Like many of today’s leading media and streaming platforms, PBS wanted to take its overall user experience to the next level. That’s why PBS approached AWS Premier Tier Consulting Partner ClearScale, a leader in machine learning. ClearScale came up with a detailed roadmap for tackling PBS’s recommendation system project that included data operations, MLOps, and demonstrational user interface. Together, PBS and ClearScale decided to move forward with an AWS-powered solution on top of Amazon Personalize.

Setting and monitoring clear, appropriate, and actionable reliability goals can be a challenging task, especially in large-scale businesses. Nobl9 helps organizations use service-level objectives (SLOs) to find a balance between operational efficiency, reliable delivery of services, cost control, and customer satisfaction. Explore how you can use Nobl9’s integration with Amazon Redshift to easily set up SLOs on top of your product data and derive actionable insights.

Data mesh is emerging as a paradigm for generating data-driven value and is gaining real-world adoption within industries like financial services and automotive. Learn about the user journeys of two types of data consumers in a mesh platform: business intelligence and data scientists. Explore how BI and AI/ML overlap within a set of data domains, and how a platform architecture further enables the desired experiences within a data mesh.

Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.

Industry analyst firm Gartner has published its annual report evaluating cloud AI developer services, the 2022 Magic Quadrant for Cloud AI Developer Services (CAIDS). AWS was once again named a Leader and placed highest among 13 recognized vendors for “Ability to Execute.” Choosing the right provider for cloud AI developer services is critically important right now. AWS Partners can leverage this report with their customers to showcase the value that AWS will bring to them.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

Data-centric AI (DCAI) has been described as the discipline of systematically engineering the data used to build an AI system. It prescribes prioritizing improving data quality over tweaking algorithms to improve machine learning models. In this post, explore a DCAI solution built on Snowflake and Amazon SageMaker to serve as a factory for predictive analytics solutions. Learn about Snowflake’s integrations with SageMaker and get hands-on resources to help you put these capabilities into practice.

Companies that adopt an intelligent enterprise platform such as SAP S/4HANA can ensure they are prepared with a future-ready core. Learn how intelligent ERP environments like SAP S/4HANA deployed on AWS can offer businesses the operational resilience needed to stay viable amid continuing unpredictability. Leveraging AWS-native cloud services introduces opportunities for agile, flexible, cost-effective, co-innovation, and data-driven and scalable solutions for the intelligent enterprise.