Category: Artificial Intelligence

Healthcare organizations face a transformative moment where data modernization redefines patient care delivery. The healthcare industry’s adoption of AI marks a fundamental change in diagnosis, treatment planning, and patient outcomes. This evolution creates a future of precision medicine and personalized care accessible to everyone. According to Deloitte’s “2025 Global Health Care Executive Outlook”, 92 percent […]

Introduction: the fragmentation of smart homes today Today’s smart home landscape presents a complex challenge that directly impacts consumer adoption and satisfaction. With the average household now deploying more than a dozen connected devices, the market remains highly fragmented across multiple protocols, platforms, and manufacturers. Recent market analysis shows that this technological fragmentation stands as […]

In the era of digital health transformation, patient 360 has emerged as a cornerstone approach for modernizing healthcare services. Consolidating comprehensive patient information into a single, accessible format, across various healthcare providers and settings, enables healthcare professionals to make more informed decisions. It also streamlines care coordination and delivers more personalized patient journeys. NHS England […]

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 field of meteorology has long relied on computational models to predict weather patterns. The advent of High-Performance Computing (HPC) and machine learning (ML) mean that these predictions have become more accurate and reliable. This post outlines the steps for deploying an HPC cluster for weather forecasting on the Amazon Web Services (AWS) Cloud. We […]

Unplanned downtime can cost consumer-goods manufacturers millions each year. Production-line disruptions often create ripple effects throughout supply chains, reducing inventory and negatively affecting the customer experience. While advancements in monitoring and predictive maintenance solutions have helped manufacturers reduce downtime, they still need to act quickly when an unplanned disruption occurs. Manufacturers also need solutions to […]

Telecom Network Operations are complex by nature, needing constant vigilance across a range of activities such as real-time alarm monitoring, scheduled maintenance tracking, and performance analytics. One of the most critical metrics in this domain is Mean Time to Resolve (MTTR)—a key indicator of how efficiently network teams can detect, diagnose, and resolve issues. A […]

Continental has transitioned its automotive technology business into a new company: AUMOVIO. Its solution, vSDV Composer, is a development platform built on AWS that combines virtual ECUs, automation, and an AI-powered engineering assistant to help automakers improve testing scalability, reduce compliance-related errors, and accelerate software development by more than 50%. Software and AI are now […]

The AWS Retail & Consumer Goods Symposium, held on June 24th in London, brought together influential leaders and innovators to address the transformative challenges facing the sector. Set against a backdrop of evolving consumer behaviors and technological advancement—all increasingly influenced by AI—the symposium provided crucial insights into how retailers and brands can navigate the current […]

At NetoAI, we specialize in telecom AI and voice AI, solving the unique data and language challenges of the global telecommunications industry. Telecom networks produce massive, specialized, regulated datasets that generic AI and large language models (LLMs) cannot fully address. Developing and deploying a domain-specific, open-source LLM – a telecom large language model (LLM) for […]