Search results for: 'hing ai'

AI has been embedded in telecommunications for over a decade, initially through rule-based automation and early machine learning applied to network optimization, fraud detection, and customer analytics. Even before 5G, CSPs used AI to enable self-optimizing networks (SON), predictive maintenance, and customer experience management—leveraging large ...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth in AI-driven intelligence, synthetic data, multi-modal AI, intelligent document processing, workflow automation, finance orchestration, compliance automation, embedded finance, cross-border payments, blockchain-enabled trade finance, tokenization, priv...

AI-powered molecular diagnostics is an emerging and moderately fragmented industry that includes molecular diagnostics companies, precision medicine platforms, sequencing specialists, AI-driven analytics providers, and disease-focused biotechnology companies. No single company has dominated, presenting opportunities for innovation. There has been a...

The emergence of generative AI (GenAI) has sparked intense global interest in AI and how it can help improve customer experience (CX). Several factors drive interest in GenAI, including its positive impact on making conversational AI faster and smarter, enabling critical applications, including personalization at scale, improved self-service capabi...

Enterprise AI adoption has accelerated, but visibility into how AI is actually used, governed, and valued inside organizations remains limited. Traditional adoption metrics—such as license counts or surface‑level usage statistics—no longer reflect AI’s real contribution to productivity, risk management, and business performance. As AI shifts decisi...

The COVID-19 pandemic marked a major global change, revolutionizing manufacturing. Political tensions, such as the US-China conflict and the Russo-Ukrainian war; economic uncertainties, such as high inflation rates and de-dollarization initiatives; and continuous supply chain disruptions force manufacturers to invest in technology to secure reliabl...

AI infrastructure is rapidly evolving from stand-alone compute environments to vertically integrated AI platforms that combine compute, networking, storage, cloud software, orchestration, security, and intelligent data management. Platform-centric architectures are becoming essential to support scalable AI training, inference, and agentic AI worklo...

13 May 2025  |  Global  |  Technology Research

Technological Advances in Edge AI Transforming Industry 4.0

Data Privacy and Low-cost Optimization are Driving Growth

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Edge AI has seen significant growth in recent years due to the growing demand for AI-enabled solutions in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. It can be used in a wide range of applications at various levels and is a key contributor to the adoption of Industry 4.0-based automati...

The discovery of new drug targets for diseases with unmet medical needs has long been hindered by the complexity of processing and interpreting massive volumes of biological data. The increasing volume and veracity of clinical and research data compels the use of enabling tools and technologies, such as cloud computing, AI, machine learning, natura...