AWS for Industries
Category: Amazon Simple Storage Service (S3)
Simplified and scalable data integration for Telco BSS
Telcos often face challenges integrating data spread across multiple BSS domains. The siloed nature of these domains means data is typically not transferable or compatible with other domains. In this post, we explore specific challenges faced by Telcos and how we could design a scalable data integration solution on AWS using the concepts outlined in […]
Automated Insurance claims processing using Amazon Bedrock, Knowledge Base, and Agents
In the dynamic insurance industry, companies are constantly seeking ways to streamline their operations and deliver exceptional customer experiences. One such approach is the automation of the insurance claims processing lifecycle using various AWS services. In this blog, we’ll explore how to leverage the capabilities of Amazon Bedrock with Generative AI to operate Large Language Models […]
How does Cloud enable the transformation of Dispute Management in Banking?
The credit card dispute management process in banks is often manual, time-consuming, and because of legacy systems. This inefficient process leads to slow dispute resolution times, poor customer experiences, potential revenue losses and challenges in complying with regulations. Banks and customers face consequences from this problem; banks face operational inefficiencies, high costs, and customer dissatisfaction, […]
How energy customers are unlocking the potential of generative AI for Asset Performance Management and methane leak detection
Introduction Industrial Asset Performance Management (APM) has experienced a significant transformation over the past three decades. Organizations are shifting away from rigid, time-based maintenance schedules toward predictive maintenance, which enables them to optimize cost, enhance performance, and mitigate risk by anticipating equipment failures before they occur. Today, energy companies are leading the adoption of new […]
How NOV solved critical oilfield operations using Databricks Data Intelligence Platform
The global demand for oil remains high as it powers transportation, industries, and electricity worldwide. One facet of the energy lifecycle is drilling, where drilling operators face numerous challenges in maintaining consistent oil supply to meet this demand. They must navigate harsh environments using heavy machinery with precision, while controlling costs and risks. Drilling operators […]
Iberdrola reduces incidents at power distribution facilities using AWS IoT and Edge services
Iberdrola is a global leader in electricity generation, distribution, and commercialization, pioneering wind power and renewable energies. i-DE is Iberdrola’s entity responsible for the electric distribution grid in Spain and Portugal, accountable for millions of operational assets with a very heterogenous nature, which makes it challenging to have a live and consolidated view of each […]
How to expansively train Robot Learning by Customers on AWS using functions generated by Large Language Models
In the robotics industry, Reinforcement Learning (RL) is extensively utilized to address complex problems that traditional path planning algorithms cannot manage, especially those involving intricate manipulations. The reward function in RL is a critical component that establishes the objective and directs the agent’s learning process. Crafting an effective reward function is often challenging but essential […]
Analyzing Remote Communications Infrastructure with Computer Vision
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 […]
Real-time Analytics on Patient Bedside Medical Devices
Introduction The Children’s Hospital of Philadelphia (CHOP) recently created a proof of concept (POC) to ingest real-time HL7 data from bedside medical devices into AWS for processing and analysis. The Children’s Hospital of Philadelphia (CHOP), is the first hospital in the United States dedicated exclusively to the care of children. While its flagship campus is […]
Using serverless architecture for efficient SMETS 2 data ingestion and processing
In the dynamic landscape of energy consumption, the ability to monitor and manage energy usage has become a critical need for consumers. At the heart of this evolution are Smart Metering Equipment Technical Specifications (SMETS) 2 meters. These sophisticated meters represent the second and more advanced generation of smart meters in the United Kingdom. Unlike […]