Category: Artificial Intelligence

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 […]

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 […]

To plan wireless networks effectively, Communication Service Providers (CSPs) must analyze the viability of potential cell sites. This includes identifying potential facilities, obstructions, sources of interference, etc. Traditionally, capturing this information required a truck roll, which can be expensive, especially at scale. Harnessing the power of Machine Learning (ML) and computer vision to analyze site […]

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 […]

In the rapidly evolving field of bioinformatics, transitioning from on-prem high-performance computing (HPC) environments, like Slurm, to cloud-based solutions, like AWS HealthOmics, presents opportunities to reinvent for scale, speed, and cost. Jeff Lee is Associate Director of R&D Cloud Architecture at Takeda Pharmaceuticals, a patient-focused, R&D driven biopharmaceutical organization founded in 1781. In this blog post, […]

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 […]