Category: Artificial Intelligence

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 […]

Analyzing large-scale genomic variant data just got easier with the latest release of Amazon EMR and its integration with AWS HealthOmics. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, empowering researchers and data scientists to uncover valuable insights through Amazon Athena queries and now Amazon EMR jobs. While Amazon Athena excels […]

Introduction This blog post describes a feature in AWS HealthLake which allows direct integration with Amazon EventBridge. Additionally, this blog post will show how AWS HealthLake’s event-driven capabilities can be leveraged to track events at the FHIR resource levels, allowing you to address complex notifications and subscription scenarios with native AWS services. AWS HealthLake, a […]

In the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance visual quality inspection (VQI), seamlessly integrating visual data with operational metrics like overall equipment effectiveness […]

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 this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]

Introduction Advancements in next-generation sequencing (NGS) technology have created new opportunities for omics data analysis, unlocking valuable insights for precision medicine, clinical diagnostics, and drug discovery. To keep pace with this high-throughput technology and handle the fluctuations in data volume, healthcare and life sciences (HCLS) customers seek a secure, reliable, and scalable environment for data […]