AWS for Industries
Category: Amazon Bedrock
Powering Intelligent Factory Operations with Cognizant’s APEx Factory Whisperer and AWS
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. […]
Automated Insurance claims processing using Amazon Bedrock, Knowledge Base, and Agents
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 […]
How energy customers are unlocking the potential of generative AI for Asset Performance Management and methane leak detection
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 […]
How bpx energy uses Amazon Bedrock to transform oil and gas production insights
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 […]
RISE with SAP on AWS delivers consumer goods innovation
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 […]
Personalized patient experience with digital front door
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 […]
The Fanatics generative AI hackathon
Introduction Recognizing the transformative potential of generative AI, Fanatics Commerce, a global leader in licensed sports merchandise, organized a global generative AI–based hackathon. This initiative not only accelerated the adoption of cutting-edge AI technologies, but also fostered an agile, knowledge-sharing environment. With its tech-driven, multi-channel approach, Fanatics has revolutionized how fans purchase team sports apparel, […]
Key Takeaways from the Inaugural NRF 2024: Retail’s Big Show Asia Pacific
Last month marked the inaugural, highly anticipated NRF 2024: Retail’s Big Show Asia Pacific. This retail-focused event unfolded over three action-packed days, from June 11 to 13, at the center of the world’s most diverse retail market. Over 5,000 attendees and 253 global industry leaders and solution providers, from across 52 countries, gathered in the […]
Building a generative AI reservoir simulation assistant with Stone Ridge Technology
In the field of reservoir simulation, accurate modeling is paramount for understanding and predicting the behavior of subsurface flow through geological formations. However, the complexities involved in creating, implementing, and optimizing these models often pose significant challenges, even for experienced professionals. Fortunately, the integration of artificial intelligence (AI) and large language models (LLMs) offers a […]
Empowering analysts to perform financial statement analysis, hypothesis testing, and cause-effect analysis with Amazon Bedrock and prompt engineering
This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Introduction: Prompt engineering and advanced prompting are powerful techniques that allow users to guide and shape the behavior of large language models (LLMs). By crafting well-designed prompts, business users and analysts in financial services can leverage the knowledge […]