Category: Amazon Bedrock

In the rapidly evolving life sciences industry, sales teams are facing growing challenges in engaging effectively with healthcare professionals (HCPs). With the complexity of drug portfolios, innovative go-to-market models, and intense competition, sales teams require quick access to critical data, intelligent guidance on HCP interactions, and the ability to automate administrative tasks. By addressing these […]

Introduction The utilities sector provides essential services to our homes, businesses, and communities. As the world becomes increasingly digitized, electrified, and resource-constrained, the sector faces unprecedented challenges. Three key imperatives have emerged: Modernize and expand infrastructure: Utilities must invest in a sustainable infrastructure that meets growing demand while incorporating green energy sources, reducing waste, and […]

Today, many organizations face challenges in transforming raw data into actionable insights due to the specialized skills or programming expertise required for data analysis. Recognizing this barrier, BMW Group embarked on an innovative project using Amazon Web Services (AWS) to empower its workforce and unlock the full potential of its data through generative artificial intelligence […]

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 […]

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 […]