Category: Amazon EC2

In the fast-paced world of financial markets, every millisecond counts. For the (soon to be selected) Fixed Income Consolidated Tape Providers (CTP) that will begin operations in early 2026, it’s crucial to maintain low latency and high throughput to deliver timely and accurate pricing information. Bondtape Bondtape is a partnership between FINBOURNE Technology and Propellant.digital. […]

Building on our previous exploration of AWS Mainframe Modernization for the telecommunications industry, we now turn our focus to a powerful partnership that’s revolutionizing the modernization journey for telcos. In this blog post, we delve into how AWS and Astadia, an Amdocs Company, are joining forces to provide a comprehensive, automated solution for mainframe modernization […]

Backtesting plays a critical role in algorithmic trading. Firms leverage XGBoost for backtesting to build predictive models that forecast market movements based on historical data. Training XGBoost models is computationally expensive though, and can quickly become a bottleneck, especially when working with large historical datasets. This blog post shows how quantitative trading firms distribute XGBoost […]

Introduction: data modernization challenges and on-premises solutions in the power industry In the power industry, modernizing data infrastructure is especially challenging due to strict cybersecurity mandates, data residency rules, and the need for real-time reliability. Furthermore, energy systems are inherently hybrid. They rely on a distributed patchwork of OEMs, protocols, and on-premises infrastructure, often in […]

The healthcare industry faces mounting challenges—workforce shortages, clinical burnout, and a rise in chronic conditions. Additionally, monitoring patients post-discharge (ensuring treatment plan adherence and preventing readmissions) are resource-intensive tasks that drive up costs and can be prone to error. New remote patient monitoring technologies can play a crucial role in addressing these challenges. With 90 […]

The healthcare industry is increasingly migrating to the cloud to enhance service delivery, ensure compliance, and improve patient outcomes. However, managing cloud costs effectively is crucial to maximize the value of these investments. Healthcare applications often have unique requirements that make them challenging to refactor into serverless or containerized architectures. These applications may have dependencies […]

Introduction Seismic processing is a high-performance computing workflow to enhance, image, and understand subsurface structure. Modern high density 3D seismic data acquisition methods need 10-100 times more compute power for processing and imaging as compared to previous generation seismic acquisition methods. In return, geologists get improved geological resolution details such as thin beds, subtle faults, […]

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]

Introduction: Enterprises today confront a significant challenge: the proliferation of disparate data sources and siloed data across hybrid cloud environments. Extracting meaningful insights using generative AI tools has become increasingly arduous because data proliferates across heterogeneous distributed systems and formats. Customers have asked for programmable and secure connectivity to enable generative AI applications in the […]

Note from the Authors: At Mobile World Congress Barcelona 2025, the GSMA hosted a generative AI summit featuring industry leaders across the globe including McKinsey, NVIDIA, and others. In our jointly-hosted fireside chat, we had the chance to talk about a unique symbiosis of telecom and Cloud that we coined Networks for AI, AI for […]