Category: Amazon Machine Learning

With the advent of generative AI services such as Amazon Bedrock and Amazon Q Developer, it has never been easier to generate high-fidelity code while also building applications with foundation models. With this ease of use comes both great opportunity and responsibility to use this technology to impact critical barriers that exist today across digital […]

The telecommunications (telecom) industry is undergoing a transformative shift driven by advancements in artificial intelligence (AI) and machine learning (ML). Small Language Models (SLMs), which can run efficiently on Internet of Things (IoT) and edge devices, are at the forefront of this revolution. SLMs are scaled-down versions of large language models (LLMs) that deliver comparable […]

Introduction During Mergers and Acquisitions (M&A) activity, Healthcare and Life Science (HCLS) customers face additional administrative challenges integrating the technical, legal, and business systems of the target and acquirer companies. For non-technical stakeholders (business administrators, financial and legal departments, private equity parties), it is important to understand the technical challenges of integrations that will impact […]

The transition to net-zero is driving unprecedented demand for the critical minerals needed in everything from electric vehicles to wind turbines. Meeting this surging demand is leading the mining industry to a technological revolution of its own – an electrification revolution. Traditionally, mining operations have relied heavily on diesel-powered trucks, excavators, and mobile machinery to […]

Smart Manufacturing enables organizations to accumulate vast amounts of data from factory systems and operations. However, this data is often siloed across multiple formats and systems, making it challenging to extract meaningful insights to improve operational efficiency. Furthermore, as the experienced workforce retires, the vast knowledge about troubleshooting and resolving production issues is being lost. […]

In the dynamic insurance industry, companies are constantly seeking ways to streamline their operations and deliver exceptional customer experiences. One such approach is the automation of the insurance claims processing lifecycle using various AWS services. In this blog, we’ll explore how to leverage the capabilities of Amazon Bedrock with Generative AI to operate Large Language Models […]

Introduction Industrial Asset Performance Management (APM) has experienced a significant transformation over the past three decades. Organizations are shifting away from rigid, time-based maintenance schedules toward predictive maintenance, which enables them to optimize cost, enhance performance, and mitigate risk by anticipating equipment failures before they occur. Today, energy companies are leading the adoption of new […]

This is a guest post cowritten with Matthew Mcelhaney, Ayush Rastogi, and Chuanyue Shen from bpx energy. bpx energy (bpx) operates bp’s US onshore portfolio. bpx operates in a highly competitive business environment and projects to grow production volumes 30 percent by 2025, relative to 2022 levels. Technology will enable this production increase and Generative […]

Consumer goods (CG) companies are facing several challenges. For starters, technology-driven convenience has shifted consumers away from traditional in-person shopping experiences. Today’s on-demand online model caters to consumers’ specific tastes—from the comfort of their preferred devices. And new entrants to the market are offering more choices than ever before. To stay competitive, CG companies are […]

In today’s data-driven world, healthcare payors have a unique opportunity to leverage the power of personalization to drive better health outcomes and member satisfaction. In our previous Digital Front Door blog for Healthcare Payors, we explored how AWS services can enable a comprehensive digital front door experience for members. As Payors begin prototyping these solutions, a […]