Search results for: 'SYSTEMS AND METHODS FOR AI-ASSISTED SURGERY'

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...

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 Frost & Sullivan analysis examines the clinical next-generation sequencing (NGS) industry, covering the different type of products, workflows, and applications for clinical purposes. The global market is projected to grow steadily from 2024 to 2030, achieving significant revenue milestones, driven largely by services and informatics segments. ...

Multi-agent systems (MAS) for workflow automation are transforming enterprise operations by enabling multiple autonomous AI agents to collaborate, coordinate, and execute complex business processes across organizational functions. This report examines the global multi-agent workflow automation market between 2026 and 2030, focusing on advancements ...

This report examines the growing importance of AI governance platforms in enabling responsible and scalable artificial intelligence adoption, with a focused analysis of their applications and opportunities across interoperability, data privacy, and digital ethics. As organizations increasingly deploy complex AI systems, the need for structured gove...

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...

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...

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...

Incorporating AI into mobile operator business operations offers clear advantages—automation, customer-centric services, and operational efficiency. However, these benefits come with challenges, including high implementation costs and data security risks. Strong support from C-level executives and boards can help operators overcome these obstacles....