AWS for Industries
Category: Amazon Elastic Kubernetes Service
Deploy infrastructure for telecom workloads in an air-gapped AWS environment
Overview Cloud solutions for enterprise applications are focused on creating a virtualized infrastructure to enable the management of various functions necessary to deliver services. With cloud computing, these functions become decoupled from the hardware and are operated from a horizontal platform as cloud-native or virtual functions. This is a unified and standardized platform that supports […]
Simplifying Medical Imaging AI Deployments with NVIDIA NIMs and AWS Services
Most practicing clinicians are not yet fully benefitting from the efficiency and diagnostic advances that medical imaging artificial intelligence (AI) promises. Additionally, many AI scientists and engineers struggle with the practical aspects of incorporating AI inferences in clinical workflows, and providing a consistent end-user experience when scaling to support millions of studies per year. Still, […]
Boost automotive productivity with process automation facilitated by Generative AI
Enterprises today are continuing to explore new solutions to increase efficiency, particularly around process automation. That efficiency is pertinent to multiple industries, but it is especially notable in the automotive sector. Automotive research and development (R&D) teams need to address costly, time-consuming, and error-prone processes, for example, in generating request for proposal (RFP) documents. The […]
Your telecom cloud journey on AWS: Part 3 – Optimizing cloud operations on AWS for telecom excellence
Introduction In “Your Telecom Cloud Journey on AWS: Part 1 – Establishing a Foundation” and “Accelerating Your Telecom Cloud Journey: A Technical Roadmap with AWS” we covered the transformation journey that many Telcos are embarking on when running complex and critical Telco workloads on AWS. Once a cloud foundation is established and workloads are running […]
Boost home heating efficiency: Connecting millions of smart radiator thermostats via AWS IoT Core for LoRaWAN
The EU’s Green Deal sets clear targets for CO2 reduction: the EU aims to become climate neutral by 2050. In 2019, the EU emitted 4,065,462,000 tonnes* of greenhouse gases. The building sector accounts for a significant share of around one-third of all primary energy consumption, 80% of which is attributable to heating water. The efficient, […]
Axis Bank modernizes its customer digital journeys on AWS
In today’s digital-first world, streamlining the customer onboarding journey in retail banking is crucial for business growth and customer acquisition. Banks understand the need to shift their focus from product-centric to customer-centric origination. By prioritizing the customers’ needs and preferences throughout the digital onboarding process, banks can create a foundation for stronger relationships, cross-selling opportunities, […]
How Toyota migrated Its Safety Connect telematics services platform with virtually zero downtime to AWS
Toyota has made “connected cars” a key focus in its transition from an automotive company to a mobility company. In collaboration with its software and cloud services affiliate, Toyota Connected North America, it has developed an array of innovative technologies that help enhance customer safety and the overall vehicle ownership experience. One of these, Toyota […]
Solving Scalability Challenges in Industry 4.0 with a Cloud Provider-Agnostic Edge Solution
In today’s rapidly evolving industrial landscape, the manufacturing sector is leading the way in using digital technology to revolutionize processes and improve efficiency. However, as this technological revolution unfolds, organizations are encountering significant challenges in adopting and implementing Industry 4.0 solutions, particularly for globally decentralized organizations. One of the challenges related to Industry 4.0 adoption […]
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 […]
Building a generative AI reservoir simulation assistant with Stone Ridge Technology
In the field of reservoir simulation, accurate modeling is paramount for understanding and predicting the behavior of subsurface flow through geological formations. However, the complexities involved in creating, implementing, and optimizing these models often pose significant challenges, even for experienced professionals. Fortunately, the integration of artificial intelligence (AI) and large language models (LLMs) offers a […]