Search results for: 'close data learning'

Edge computing refers to moving data processing and computing as close to the data source/ point of origination as feasible, enabling near-real-time decisions and insights to drive better outcomes. The goal is to reduce latency while still ensuring high efficiency of networks, operations, service delivery, and user experience. Edge computing all...

The COVID-19 pandemic marked a major global change, revolutionizing manufacturing. Political tensions, such as the US-China conflict and the Russo-Ukrainian war; economic uncertainties, such as high inflation rates and de-dollarization initiatives; and continuous supply chain disruptions force manufacturers to invest in technology to secure reliabl...

28 Feb 2020  |  North America  |  Market Research

Global Automotive Data Management and Cloud Platform Strategies, 2019

Prioritising Critical Datasets from Non-critical Ones Will Determine Cloud-related Partnerships for OEMs by 2025

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The aim of this research study is to give an overview of automotive cloud platforms and the key cloud applications adopted in the automotive market. The study focuses on the different cloud platform strategies adopted by original equipment manufacturers (OEMs), key business models used, key cloud vendors, and their core features. Frost & Sullivan b...

Geothermal energy involves the use of the underground heat generated from the Earth’s core for electricity and heating purposes. While solar and wind energy technologies represent the mainstream renewable energy sources, geothermal energy has its own distinct advantages. Its capacity to provide heating/cooling and power generation, the steady energ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights key developments in cybersecurity technologies focusing on automated identity verification and AI-driven security solutions. Featured innovations include biometric authentication systems for digital onboarding, AI-powered detection posture management, cloud-native app...

Data-driven materials informatics is transforming the discovery and development of advanced materials, enabling faster innovation across polymers, coatings, and catalytic systems. By integrating experimental data, computational simulations, and AI and ML models, these platforms enable predictive design, efficient formulation optimization, and accel...

US-based providers lose an estimated $260 billion to $270 billion annually due to poor financial risk management and lack of infrastructure to support data-driven business decisions. For every dollar claimed, private and public payers on average offer a reimbursement of 86 cents to providers, resulting in a negative margin of 14% per dollar per pat...

The wholesale data InSight offers a cumulative view of the following wholesale data services: ATM/Frame Relay, private line, and wavelength (lambda) services. This reports is a summation of three previous reports that have been written on the topics listed above. A brief executive summary offers a 'snapshot' of the industry. Furthermore, a total...

As businesses tap new technologies to gain a competitive edge, they are increasingly adding next-generation services like advanced analytics, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and blockchain to their applications. According to a 2019 Frost & Sullivan survey of IT decision-makers, adoption of these techno...