Category: Amazon Bedrock Knowledge Bases

The current state of telco operations: challenges and complexity Global telco operators today find themselves squeezed between surging network demand and stagnating revenue growth. According to PwC, global telecom service revenue rose by just 4.3% in 2023 and is projected to grow at a Compound Annual Growth Rate (CAGR) of only 2.9% through 2028—below inflation. […]

Water utilities worldwide are facing challenges in managing infrastructure, reducing water waste, and making sure of reliable service delivery. The traditional approaches of manual monitoring and reactive maintenance are no longer sufficient due to increasing water demand, need for uninterrupted service, regulatory requirements, and customer satisfaction. In this post, we explore how Amazon Web Services (AWS) AI […]

Medical coding is a vital, yet intricate, process in the healthcare industry—it ensures accurate reimbursement for services rendered and is necessary for compliance with regulatory guidelines. However, traditional manual coding methods can be time-consuming, error-prone, and resource-intensive, leading to inefficiencies, bad outcomes, and potential revenue losses. With healthcare organizations processing thousands of patient encounters daily, […]

In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. Traditional anomaly detection methods are labor-intensive and time-consuming, often leaving critical equipment vulnerabilities unaddressed for hours or days—leading to significant unplanned downtime and financial impact. McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues. Typical […]

The rapid advancement of generative AI promises new strategies for innovation in the insurance industry, and insurance carriers should implement it in compliance with regulatory requirements. The National Association of Insurance Commissioners (NAIC) has adopted Principles on Artificial Intelligence and released a Model Bulletin on the use of artificial intelligence systems by insurers to provide […]

The oil and gas (O&G) sector, known for its stringent regulations and complex operations, relies heavily on a vast array of documentation. From engineering blueprints to compliance reports, these documents form the backbone of daily operations, project management, and regulatory adherence. Key document categories in the industry include: Engineering documents: technical specifications, design drawings, and […]

Generative artificial intelligence (AI) has the potential to transform how large companies do business. For enterprises, corporate information is often stored in silos managed by different teams. By combining large language models (LLMs) with robust knowledge bases, these organizations can create intelligent systems that not only store information but understand it—making company knowledge more accessible […]

In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. […]

Real-World Evidence (RWE) is a domain in which new medical evidence is generated based on data from healthcare and other health services from “the Real World”, compared to clinical trials which are controlled and from specific medical evidence generation. This domain is an evolution of HEOR (Health Economic and Outcome Research) and is particularly inspired by […]

AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.