Search results for: 'cases detect learning'

This research service provides a detailed analysis of the fraud detection and prevention (FDP) market in light of increasing cybersecurity concerns. FDP vendors are using data and device analytics, user behavior and pattern recognition technology, guidelines set by regulating bodies, and industry standards that enable integration to offer know-your...

This study examines the rising importance of identity threat detection and response (ITDR) as a foundational element of modern cybersecurity strategy. As organizations accelerate digital transformation and expand across hybrid and multi-cloud environments, identity has become the primary attack vector for threat actors. Traditional IAM and PAM tool...

As wearables technology becomes more ubiquitous, it allows for new avenues of consumer interaction and data collection. As the world becomes increasingly connected, consumers will demand that their vehicles be connected with their wearables technology, which will open up various opportunities for automotive-related applications that will be enabled...

Explosive trace detector devices and systems detect and identify trace amounts of explosives, illicit substances, and narcotics in airports and transportation, critical infrastructure, and government facilities. Revenue reached $6 billion globally in 2022 and is expected to grow significantly because of increasing security concerns, regulatory r...

As intrusions employ a wide variety of attack vectors and methods, companies have to seriously consider continuous security monitoring, which provides real-time visibility of users and their devices when they attempt to connect to or work on an enterprise network. Security monitoring gives companies the ability to constantly look over their network...

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 edition of the Oil and Gas (O&G) Technology Opportunity Engines features information on crude oil separation, leak detection, distributed gas monitoring, electrified drilling rigs, corrosion and erosion monitoring, real-time monitoring of distributed fuel operations, among others.The Oil and Gas TOE provides intelligence on innovations pertain...

ChatGPT has established itself as a versatile tool with potential use cases in various business functions across industries. Potential use cases across the automotive value chain are numerous. This report looks at various scenarios in which ChatGPT can be used for the key elements of the automotive value chain including supply chain, manufacturing,...

This edition of the Oil and Gas (O&G) Technology Opportunity Engines features information on interactive seismic oil platform, subsea inspection system, pipeline integrity platforms, offshore drilling systems, downhole thermal control, methane leak detection, real-time monitoring of distributed fuel operations, among others.The Oil and Gas TOE prov...