Search results for: 'computation flow dynamics cd'

This study evaluates NVIDIA's strategic position within the global automotive industry, examining the key growth drivers, competitive dynamics, and market developments shaping its automotive business. It explores NVIDIA's evolution from a semiconductor company to a full-stack AI platform provider, with a focus on autonomous driving, software-define...

Chiplet-based compute architectures for vehicles are entering a new phase, reshaping SDV hardware roadmaps by enabling modular multi-die platforms that scale performance, improve yield, and accelerate refresh cycles while meeting long lifecycles, safety, and cybersecurity requirements. This Frost & Sullivan study examines how automakers, Tier 1s, s...

Laboratory information management systems (LIMS) have been used in life sciences since laboratories began digitizing sample tracking and data management in the 1970s. Modern LIMS solutions enhance efficiency by automating workflows, improving data accuracy, and enabling seamless integration and offer strong compliance, secure centralized data manag...

Since 2010, Frost & Sullivan has conducted an annual survey involving cloud decision-makers in both information technology and business areas. The purpose of this survey is to understand perspectives, choices, and acquisition strategies of organizations worldwide concerning cloud technologies.In this report, Frost & Sullivan examines and analyzes r...

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...

As manufacturers and industrial operators try to make operational data more accessible, interoperable, secure, and usable across enterprise environments, organizations are investing in industrial connectivity software that can connect heterogeneous OT assets, bridge legacy protocols, support edge-to-cloud data flows, and enable scalable industrial ...

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...

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...

Artificial intelligence is a core transformation lever across industrial design and engineering. Product complexity, shorter development cycles, and the need for mass customization are overwhelming traditional workflows, making AI-enabled design, engineering, simulation, and decision-making support key for competitiveness. AI-based tools, such as g...