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

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

15 Nov 2016  |  Global  |  Market Research

Global Enterprise Learning Management Systems (LMS) Market, Forecast to 2022

Changing Workforce Dynamics and the Need to Address High Attrition Rates Drive Adoption as Companies Look to Provide Opportunities that Help Employees

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Enterprise learning management systems (LMS) serve as an excellent means to deliver multimedia and interactive course content to today’s generation of digitally connected employees. The global LMS market crossed $1.63 billion in revenue in 2016 and is expected to grow to $3.20 billion at a compound annual growth rate (CAGR) of 11.9%. This market is...

In 2024, enterprises pressed ahead with their digital transformation journeys amid rising complexity in technology landscapes and the emergence of generative AI (GenAI). While GenAI offers transformative potential across industries, verticals, and functional areas, it demands robust cloud and data foundations, driving increased reliance on global s...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Artificial Intelligence, Generative AI, Edge AI. These technologies empower users to provides visual development tools, and business process management features, enabling rapid deployment of applications. This flexibility hel...

This research examines enterprise buyer priorities, investment plans, and purchasing behaviors related to Unified Communications and Collaboration (UCC) technologies through 2029, based on Frost & Sullivan’s 2026 global Information Technology Decision-Maker (ITDM) survey. The study explores how organizations are adapting communications strategies, ...

Traditional cloud computing models sends data from the device to the cloud for data analysis and the decision is sent back to the device for implementation. The agility of cloud computing is great but not enough to overcome certain challenges such as latency, bandwidth, processing the data for real-time decision making, costs associated with data t...

This Frost & Sullivan study analyzes the global cellular IoT and LPWAN market between 2025 and 2031, covering traditional cellular IoT (2G/3G, 4G, and 5G), massive cellular IoT (NB-IoT, LTE-M, and 5G RedCap), and massive non-licensed LPWAN technologies (LoRaWAN, Sigfox, and other standards). The analysis evaluates market growth by technology, regio...

This study examines the technology landscape, commercialization progress, and future growth opportunities of wide-bandgap (WBG) semiconductor materials, with a primary focus on silicon carbide (SiC), gallium nitride (GaN), and gallium oxide (Ga₂O₃) for power and RF electronics. It evaluates how these materials enable higher efficiency, greater powe...

Synthetic data is data generated artificially based on data collected from real-world occurrences. It is artificially generated data in the form of text, tables, images, and videos, among others. Synthetic data generation will address the challenge of inefficient datasets and privacy concerns. Generated using algorithms, it enables organization...