Category: Generative AI

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 […]

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 […]

Today, AWS is excited to announce a collaboration with EvolutionaryScale to bring their new frontier language models for biology to scientists and researchers advancing applications from drug discovery to carbon capture, and more. With this announcement, we are making EvolutionaryScale’s ESM3, a frontier, state-of-the-art language model family, available on AWS. This collaboration brings the best […]

The manufacturing sector is undergoing a transformative shift driven by smart manufacturing principles and Industry 4.0 technologies like the Internet of Things (IoT), artificial intelligence (AI), and advanced analytics. These cutting-edge trends present opportunities for boosted productivity, accelerated innovation, and competitive advantage. However, manufacturers face looming challenges like labor shortages, an aging workforce, and the […]

In the competitive field of industrial operations, minimizing downtime is crucial for financial success. The challenge lies in managing complex data spread across various systems within industrial environments. Quickly identifying and solving issues without advanced analytics can be difficult. Operators often spend time consulting manuals to diagnose problems and follow protocols. Automation can streamline this […]

Across industries, from telecommunications providers to government agencies, delivering seamless and personalized experiences is paramount for building strong relationships with customers and citizens. Traditional contact center solutions often struggle to meet the unique needs of modern enterprises and public sector organizations, resulting in long wait times, impersonal interactions, and inefficient issue resolution. This hinders the […]

Manufacturers are constantly seeking ways to streamline operations and maximize productivity. With the advent of generative AI, manufacturing companies now have powerful capabilities to boost efficiency across various aspects of their business. From accelerating product development and assembly to extending equipment lifetimes, minimizing downtime and improving operational equipment effectiveness, generative AI has potential to revolutionize […]

Autonomous vehicles (AV) must be driven hundreds of millions of miles – and sometimes hundreds of billions of miles – to capture sufficient data that can confidently demonstrate a vehicle’s security on the road. This approach to collecting data, however, sees its applicability hindered by two main limitations: (1) high fleet acquisition and maintenance costs […]

Generative artificial intelligence (AI) is rapidly becoming a cornerstone technology, driving significant advancements in manufacturing through the creation of synthetic data and images, optimized designs, process simulations, insights from operational data, and more. Recent research from Capgemini indicates that a substantial majority of manufacturers are not just curious about generative AI; 55% are actively exploring […]

In the oil and gas industry, rig reports are essential for monitoring the performance and operations of drilling rigs. These reports contain a vast amount of unstructured data, including comments from rig personnel regarding rig activities such as drilling progress, equipment maintenance, process interruptions, and safety observations (Figure 1). In blog #1, we discussed a […]