Blog AWS

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.

Not too long ago, retailers with physical stores considered their online presence as an addition to their business. In many instances, one didn’t know about the other. And that created a problem for customers who expected to have a seamless experience between shopping from their home and pushing a cart through a store. This inconsistent [...]

In 2019, Volkswagen AG (VW) and Amazon Web Services (AWS) formed a strategic collaboration to co-develop the Digital Production Platform (DPP), aiming to enhance VW’s production and logistics efficiency by 30 percent while reducing production costs by the same margin. As the DPP infrastructure expands, maintaining its security becomes a critical priority. This can be achieved through [...]

Generative artificial intelligence (AI) has the potential to transform how large companies do business. For enterprises, corporate information is often stored in silos managed by different teams. By combining large language models (LLMs) with robust knowledge bases, these organizations can create intelligent systems that not only store information but understand it—making company knowledge more accessible [...]

Many organizations use third-party Cloud Security Posture Management (CSPM) tools (for example Wiz.io) to continuously detect and remediate misconfiguration from build time to runtime across hybrid clouds such as AWS. CSPM tools often use AWS resource tags to enhance their security and compliance monitoring capabilities. Tags are key-value pairs that you can assign to AWS resources [...]

Pattern is a leader in ecommerce acceleration, helping brands navigate the complexities of selling on marketplaces and achieve profitable growth through a combination of proprietary technology and on-demand expertise. In this post, we share how Pattern uses AWS services to process trillions of data points to deliver actionable insights, optimizing product listings across multiple services.

Legacy mainframe systems remain the backbone of many telecommunications (telco) operators, despite rapid technological evolution. These systems, combining proprietary and vendor-developed applications, remain critical for handling bulk data processing and large-scale transactions. These systems typically handle critical Business Support Systems (BSS) and Operational Support Systems (OSS) workloads, such as the highly transactional processes of rating, [...]

Many customers struggle to securely ingest, process, govern, and analyze sensitive healthcare data while adhering to vendor and regulatory requirements including HIPAA. In this blog, we introduce a technical offering that enables customers to efficiently solve these challenges. Solving the implementation challenges of healthcare data strategy Many healthcare organizations find it difficult to implement their [...]

The rapid growth of clean energy, propelled by cost reduction and decarbonization efforts, has placed significant strain on the existing power grid infrastructure. As more solar, wind, and other distributed energy resources seek to interconnect to the grid, the process of generator interconnection has become increasingly complex and challenging. Outdated grid planning processes, lengthy interconnection [...]

TCS partnered with a leading Australian bank to implement Consumer Data Right (CDR) compliance through an open banking solution, enabling secure data sharing for 400,000+ customers while maintaining existing banking operations. The solution architecture leverages AWS services including Amazon Kinesis Data Streams, AWS DMS, Data Firehose, Glue, and Aurora MySQL to process 6 million records daily in real-time, with comprehensive security controls and 99.99% uptime. The implementation demonstrates TCS’s expertise in creating scalable, secure enterprise data platforms that enable financial institutions to modernize their data streaming capabilities while protecting core operations and meeting regulatory requirements.