Category: Thought Leadership

For pharma leaders, medtech, and health tech innovators alike, the vision of connected health hinges on organizations’ ability to stay in tune with healthcare players’ preferences, perceptions, and expectations. Doing so helps companies create seamless customer pathways and proactively model, predict, and respond to the many outcomes of a changing healthcare landscape. Learn how ZS collaborated with AWS to build an intelligent life sciences platform called ZAIDYN.

Organizations realize the value of data and analytics for their businesses, but not all of them have been successful in defining a mature analytics vision and strategy. By cross-leveraging experience in process management, safeguarding data, and rich analytics practices, Genpact has developed an analytics maturity assessment framework known as the Analytics Maturity Meter (AMM). Learn how this solution evaluates a company’s current capabilities in data, process, technology, talent, and enterprise leadership.

To curb spend and unlock scale, Precisely collaborates with AWS to provide the means to synchronize mainframe data in the cloud at speed and power modern applications. Learn how Precisely Connect integrates data seamlessly from legacy systems into next-generation cloud and data platforms. Using Precisely Connect, data from sequential files, VSAM datasets, or databases such as IMS and Db2 can be transferred to Amazon RDS.

Many companies use online databases for talent sourcing, while others prefer more traditional means such as referrals or networking. Quantiphi’s cloud-native data platform facilitates the convergence of talent and recruiter performance data to provide crucial insights into the talent acquisition process. Explore the critical aspects of Quantiphi’s serverless, fully-managed ETL pipeline along with the benefits of the centralized lake house solution built on AWS in helping talent acquisition companies.

Federated learning is a distributed machine learning technique that doesn’t require data to be centralized, and it doesn’t disclose data to other parties while building the model. Learn how DOCOMO Innovations focuses on federated learning, and particularly vertical FL because it has potential to get better model performance by collaborating with other data providers. DOCOMO Innovations has been investigating the VFL algorithm and its implementation on AWS for real-world scenarios.

SAP Business Technology Platform (SAP BTP) is a unified, business-centric, and open platform for the entire SAP ecosystem. It’s available on AWS and enables users to integrate and create value from data and extend their SAP and third-party solution landscapes to meet evolving business needs. Learn why you should run SAP BTP on AWS and how it benefits you as an SAP customer to get the lowest total cost of ownership and fastest time to value.

Antivirus for Amazon S3 by Cloud Storage Security (CSS) is a self-hosted malware solution, installed in the customer’s AWS account so data doesn’t leave the customer’s AWS account. Learn how to easily scan your workloads using Antivirus for Amazon S3, and how to integrate malware scanning into your data ingestion pipeline. Cloud Storage Security is an AWS Security Competency Partner that helps prevent the spread of malware and locates sensitive data for applications and data lakes that use AWS manages services.

Amazon EKS Anywhere allows customers to run containerized workloads on customer-managed infrastructure, and Nutanix enhances the list of deployment options for EKS Anywhere customers, which already includes bare metal servers, VMware vSphere, and Docker. AWS collaborated with Nutanix to integrate Amazon EKS Anywhere with the Cluster API provider for Nutanix to provide customers with declarative, Kubernetes-style APIs for cluster creation, configuration, and management.

Event-driven architecture makes building cloud applications easier, especially applications required to create, detect, consume, and react to multiple events in real time. Learn how DXC Technology helped a customer in the energy industry collect and push events from electricity meters using event-driven architecture. When application complexity increases, this event-driven approach provides better scalability, fault tolerance, and faster development.

Learn how to leverage Apache Iceberg capabilities with Dremio and Amazon EMR Serverless to scale your business by keeping up with various changes to your data and analytics portfolio. Iceberg is a high-performance, open table format for huge analytical tables specifically designed to mitigate the challenges introduced by unforeseen changes observed by enterprises. Dremio is a data lake engine that delivers fast query speed and a self-service semantic layer operating directly against Amazon S3 data.