Category: Amazon Comprehend

In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]

Introduction Financial institutions face a critical challenge: protecting sensitive data at scale while enabling innovation. This post provides guidance for detecting and processing sensitive data within your financial data lake on AWS, helping you maintain compliance without sacrificing agility. Data lakes have grown exponentially in the financial services industry, fueled by cloud computing. Cloud offers […]

In the race to harness the transformative power of generative AI, Healthcare and Life Sciences (HCLS) organizations face a critical challenge: how to innovate rapidly while navigating complex regulatory requirements. Promising generative AI solutions are being developed to revolutionize everything from patient care to drug discovery. However, many organizations find themselves paralyzed at the intersection […]

Organizations across various industries are struggling with the exponential growth of unstructured data—images, text documents, PDFs, audio and video files, and specialized formats such as genomic sequences. Unlike structured data with clear organization, unstructured data typically lacks standardized organization, making it challenging to discover, access, and derive insights from these valuable assets. At Amazon Web […]

The automotive and manufacturing industries are undergoing another digital transformation, this time powered by artificial intelligence. From engineering workbenches to smart factories, Generative AI (Gen AI) is transforming how vehicles are designed, manufactured, and maintained. However, implementing production-grade AI applications requires more than just selecting the right models – it demands robust architecture, enterprise-grade security, […]

Revenue assurance (RA) is critical in the telecom industry, traditionally monitoring financial transactions such as CDR validation, billing verification, and settlement reconciliation to make sure of accurate revenue streams. Despite these practices, telecom operators face significant operational inefficiencies, with traditional RA processes limited to sampling small portions of transactions and achieving partial recovery rates due […]

Tapestry, a global luxury fashion holding company, oversees iconic brands such as Coach, Kate Spade New York, and Stuart Weitzman. With over 1,400 retail stores worldwide and more than 18,000 employees, Tapestry sits on a wealth of information that it could use to improve customer experiences and optimize its operations. The company needed an effective […]

In today’s healthcare landscape, the burden of administrative tasks, particularly electronic health record (EHR) documentation, consumes an average of 4.5 hours per day for physicians. This time commitment detracts from patient care and is the number one driver of physician burnout—an issue affecting 48% of healthcare workers. It is leading to a projected shortage of […]

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 […]

The retail industry is facing numerous challenges in today’s dynamic landscape that are forcing them to rethink their strategies. Retailers must keep up with technological advancements, such as generative AI, artificial intelligence and machine learning (AI/ML) and ecommerce platforms, to remain competitive to retain customers and market share. Retailers face intense competition from both traditional […]