Search results for: 'ai infrastructure developments access adas processing the digital utility'

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...

Energy is the world’s most dynamic industry in need of change. Electric utilities and power retailers are the backbone of the energy transition as they cope with increasing power demand and changing load patterns driven by electrification. They also enable greenhouse gas reductions by integrating distributed energy resources such as solar rooftops,...

This edition of the IT, Computing and Communication Technology Opportunity Engine captures developments related to Unified AI robotics, Hybrid GPU cloud and MLOps, Production inference stack, Full-stack reinforcement-learning compute, AI Infrastructure, Computer Vision, Software-Defined Applications, Developer Platform & Cloud Application Deploymen...

Outsourcing helps organizations navigate the challenging competitive environment. It has evolved from being a resource expansion and cost arbitrage solution to a process that drives business outcomes and creates value for customers. This Frost & Sullivan study presents forecasts for the global business process management (BPM) services market from ...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

The global data centre industry is entering a new growth phase, driven by surging AI adoption, expanding cloud ecosystems, energy transition requirements, and the increasing digitisation of economies. The most significant growth opportunities are emerging at the intersection of computing capacity, energy infrastructure, cooling innovation, digital ...

In 2026, the global ADAS and autonomous driving market is transitioning to standardization, with Level 1 and Level 2 features becoming baseline across vehicle segments. This shift is driven by regulatory frameworks in North America and Europe, along with rising consumer demand for vehicle safety in emerging markets such as India and Southeast Asia....

The automotive industry faces challenges such as regulatory hurdles, electrification, the rise of software-defined vehicles (SDVs), semiconductor shortages, and geopolitical chaos. OEMs and value chain partners are realigning their product strategies, roadmaps, and launch timelines to adapt to these challenges. They have rerouted investments to dev...