Search results for: 'training research project'

Traditional training environments face patient safety risks, resource constraints, and limited exposure to rare event scenarios. Additionally, physical simulations are costly, limiting accessibility (especially in resource-constrained settings). Current simulation models lack personalization, resulting in operational complexity for hospitals due to...

Artificial intelligence (AI) has the potential to deliver substantial benefits to businesses, economies, and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent project-derailing challenges, cost overruns, an...

In this report, Frost & Sullivan examines the role of AI in the telecommunications services industry. Due to declining revenue from core telecom services, telecommunications service providers (telcos) are broadening their operations and leveraging AI to transform telecom services and create significant business value. We identify telcos using A...

This tracker provides quarterly updates for key segments in the North American consumer communications services market, including broadband, video, voice, and wireless. Highlights include growth in fiber-to-the-home (FTTH) connections, which drove strong net additions in broadband subscribers. CSPs focused their investments on widening their fiber ...

Cloud infrastructure and platforms form the foundation upon which digital economies are built. For more than a decade, the modernization and migration of applications and data to the cloud have been a priority for companies worldwide. Under the weight of high interest rates, inflation, and sluggish post-pandemic recovery, the growth of the cloud in...

29 Jul 2021  |  Global  |  Technology Research

Federated Learning: New Approach to Building AI Models

Leveraging Open Source Tools to Accelerate Technology Development across Organizations and Regions

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Traditional machine learning (ML) models are centralized and involve vast amounts of data. However, both the urgency to guarantee data privacy and to abide by strict regulations imposed across regions have contributed to the emergence of a new and powerful alternative technique, federated learning. Instead of acquiring data from a central server or...

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...

The development of augmented reality (AR), virtual reality (VR), and extended reality (XR) technologies expect to accelerate in upcoming years. Technology developers and adopters across various industries experiment with these innovations for mass deployment, driving the shift from product testing for specific application requirements to scaling th...

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...