AWS for Industries
Category: Generative AI
BMW Group fosters data-driven culture with a no-code generative AI data analytics solution on AWS
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 […]
Top 5 Technical M&A Challenges for Healthcare and Life Science Customers
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 […]
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 […]
Beyond beauty: Arbonne focuses on sustainability and the wellbeing of agents and customers
In today’s health and beauty industry, success is more than skin deep. Brands have to stand for something bigger to win over the hearts and minds of consumers. Generation Z (Gen Z), a demographic with growing importance and influence, is moving away from fast beauty brands known for mass production. Instead, this generation seeks out […]
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 […]
Reinventing Energy, Together | AWS Energy Symposium 2024
From the first spark of fire to the harnessing of nuclear power, energy innovation has been the bedrock of human progress. It has illuminated our cities, powered our industries, and propelled us into the space age. Every leap in energy technology has ushered in new eras of possibility, transforming the way we live, work, and […]
Unleashing generative AI to revolutionize the Semiconductor Industry
The semiconductor industry is the backbone of technological innovation, powering everything from smartphones to cloud computing infrastructure. However, semiconductor manufacturers face mounting pressures to deliver better performance, efficiency, and reliability at lower costs. Key semiconductor industry challenges include: Design complexity and longer development cycles: Advanced semiconductor designs are incredibly complex, leading to prolonged design verification […]
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 […]
AWS, Anthropic, and DTCC discuss responsible AI and the opportunities and risks of generative AI
A summary of the panel discussion at the AWS Financial Services Symposium Written with the help of Anthropic Claude 3 Sonnet on Amazon Bedrock The AWS Financial Services Symposium took place on June 6 in New York City, where several hundred AWS customers and partners in the financial services industry convened to explore how technology […]