Search results for: 'User and Entity Behaviour Analytics Based on Machine Learning'

This deliverable focuses on the major trends in the machines industry, as companies look to identify and invest in areas that support energy savings. Many emerging developments aim to achieve a balance between efficiency and growth. In the IIoT era, manufacturers are looking to identify emerging industries to target that will likely become key cont...

This study will benefit those who are interested in learning about the current state of electro-optic /infrared (EO/IR) operating concepts and how they will evolve with the emergence of new technologies and threats. This study identifies emerging trends that will have an impact on the EO/IR industry and highlights areas of opportunities in the land...

AGVS streamlines tasks in order fulfillment in logistics centers as well as improve safety in production lines. AGVs can perform more than material handling such as scanning barcodes and transferring the scanned data to the central cloud system. AGVs automate all the material handling tasks and remove the need for having workers to move materials w...

This global OVA market study discusses growth drivers and restraints, market trends, and technology trends. Global and regional forecasts are included along with pricing trends. The base year is 2013, and the forecast period runs through 2020. The market is divided into 3 regions: NALA, EMEA, and APAC. It is split into 3 broad segments: content pro...

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...

This Frost & Sullivan analysis examines the global laboratory information management system (LIMS) market. The market is currently experiencing disruption due to a shift towards digitalization driven by automation, the industrial internet of things (IIoT), and smart technologies. This trend is transforming laboratory operations as it employs real-t...

VoE is the voice of the employee that is collected and analyzed systematically using a VoE analytics tool. Businesses use VoE tools to collect employee ideas, grievances, suggestions, and requirements about the workplace to measure employee experience (EX) and engagement. VoE data and insights are used to boost EX to increase employee retention, en...

This Frost & Sullivan research service examines the role artificial intelligence (AI) will play in the transformation of the automotive space. AI is a key disruptive technology, wherein automakers are evolving into technology firms and expanding their service offerings beyond manufacturing vehicles. Technology implementation has increased, and the ...

Fiber optic sensing solutions utilize the light medium as the physical source to detect variations in temperature, acoustics, strain, and vibrational parameters. Fiber optic sensing uses an optical fiber cable as the sensor device to create a continuous point of sensing along the fiber cable. This method of sensing is known as distributed fiber opt...