Category: Artificial Intelligence

Introduction The advertising industry is experiencing an exciting transformation thanks to generative AI (GenAI) tools that are revolutionizing campaign creation, digital ad generation, and marketing asset localization. While these innovations present incredible opportunities to streamline workflows and boost creativity, many organizations are navigating questions about which tools to implement, how to effectively integrate them into […]

Bioinformatics workflows, spanning from RNAseq to metabolomics, have become increasingly complex and data-intensive. For researchers in biotech and pharmaceutical industries, extracting meaningful insights from vast amounts of biological data is a daily challenge. Recognizing this, Sonrai, a frontrunner in precision medicine cloud technologies, set out to transform the landscape of large-scale bioinformatics analysis. We’ll discuss […]

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, […]

The GDS Manufacturing Summit held in New Orleans in 2024 brought manufacturers, state legislators and partners to tackle current developments in the manufacturing industry. One of the most pressing questions discussed was how Artificial intelligence (AI) and generative AI (GenAI) are redefining manufacturing. In a survey conducted during the Summit, manufacturing technology leaders ranked the […]

In today’s competitive industrial landscape, providers of industrial machines, such as construction and mining equipment, and factory machinery, look for innovative ways to maximize the potential of their products. By connecting these machines to the cloud with IoT, machine builders gain visibility into how their equipment performs in real-world conditions—understanding utilization patterns, identifying recurring failure […]

In an era of increasing digital transformation, electric utility providers are facing unprecedented challenges in meeting customer expectations for quick, efficient, and accessible service. Utility contact centers in particular face unique challenges in delivering effective customer service. Traditional Interactive Voice Response (IVR) systems can effectively handle direct, well-defined requests through touch-tone or basic voice commands, […]

With over 100 clubs globally, premium fitness company Equinox requires scalable, repeatable infrastructure that can support its integrated digital and physical experiences. Its connected experiences, which include competitive cycling classes, are a key offering that motivates its members to track and meet their fitness goals in a mobile app. However, delivering fitness insights in near […]

Introduction Several industries started to explore quantum computing on use cases such as: risk assessment for insurance companies, molecule behavior simulation for chemistry, and financial asset management in the finance industry. In general, physics, chemistry, cryptography, material science and optimization problems are the core application areas of quantum computing. Furthermore the telco landscape, which is […]

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, […]

The UK motor finance industry faces Complex challenges following the Financial Conduct Authority’s (FCA) review of Discretionary Commission Arrangements (DCA). Financial institutions must now analyze historical lending data, calculate accurate redress amounts, and manage customer communications effectively, all while working with fragmented data sets and tight regulatory deadlines. In this post, we’ll explore how AWS […]