Tag: AWS Lambda

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.

There is a growing trend of investment managers incorporating environmental, social, and governance (ESG) issues into their analysis. The increasing recognition of ESG factors within the investment process has created pressure on investment managers to adopts a robust ESG data strategy and framework. Learn how Tata Consultancy Services (TCS) has collaborated with AWS to offer the TCS ESG Integration Solution on AWS, which includes a cloud-native ESG data ingestion platform and custom ESG scoring model.

Migrating to the cloud has allowed many organizations to reduce costs, innovate faster, and deliver business results more effectively. Managing, securing, and having visibility across endpoints, networks, and workloads is not an easy feat and requires a unified defense-in-depth approach. Learn how CrowdStrike’s leading endpoint protection, workload protection, and threat intelligence directly integrate with AWS services to build an effective defense-in-depth solution to stay ahead of threats.

AWS Lambda allows you to run your code without provisioning or managing servers. Observability requires a different and more integrated set of telemetry that gives a comprehensive picture of your functions. Learn how this AWS service is used in practice and how Sumo Logic helps demystify Lambda observability by streamlining telemetry ingestion, unifying data, and correlating insights across disparate services.

We are excited to highlight 60 AWS Partners that received new designations in January for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Enterprise customers are modernizing existing workloads to cloud for various reasons. Cost optimization has always been a conversation starter, but that leads to application modernization and operational excellence, which brings agility to application development and enables faster GTM. Learn how Cognizant can help bridge the gap between the infrastructure-as-a-service and integration-platform-as-a-service platform models for modernizing batch processing applications on AWS.

As a modernization service provider, Effectual is focused on a cloud-first approach that includes end-to-end managed and professional services for every stage of IT modernization. Effectual views managed services from a holistic perspective that prioritizes security and compliance. Learn how they were able to integrate AWS next-generation monitoring, as well as operational services like Amazon DevOps Guru, to enhance the company’s managed services offering.

Saint Louis University is at the cutting edge of research, studying human behavior and its economic impact. Learn how the Sinquefield Center for Applied Economic Research (SCAER) uses MontyCloud DAY2, a no-code autonomous CloudOps platform, to run an environment that’s fully automated and self-managed. MontyCloud also helps SCAER automate mounting and unmounting Amazon EBS volumes on demand when Amazon EC2 instances are provisioned.

A key goal of modern data strategy, whether a data mesh, data fabric, data lake, or data warehouse, is to deliver access to data when and where it’s needed. Learn how AWS and Informatica can combine and automate data governance for access within a data marketplace. This solution combines Information’s data governance architecture and the Informatica Intelligent Data Management Cloud (IDMC) which orchestrates and automates data access management with AWS Lake Formation.

For a specialty pharmaceutical company, the launch of a new drug is of great importance for their commercial success. Thanks to AI capabilities to crunch massive amounts of data in a short period of time, drug development pipelines that would normally take over a decade are being compressed into a matter of months. Learn how Infosys Data & Analytics Practice and AWS have collaborated to develop the Infosys Life Science Commercial Insights Platform that addresses such needs.