Search results for: 'part to part learning platform'

The widespread adoption of containers and Kubernetes has made cloud-native applications the cornerstone of many business operations. While they enable rapid application development and delivery, their nature to scale up and disappear in seconds is beyond the static, monolithic applications that traditional monitoring tools were built for. This crea...

The goals of the study are to analyze the North American medium and heavy duty (Class 4–8) commercial vehicles (CV) aftermarket and to project this market’s future outlook and the opportunities it offers to different participants in the value chain. The study discusses the impact of various factors based on economic, legislative, operational, tech...

Customer experience (CX) platforms orchestrate the complexity of modern customer interactions across multiple channels and touchpoints along the entire customer journey, delivering seamless, consistent, and personalized experiences. Providers must have a full-fledged contact center offering to be featured on this Frost Radar™. Adjacent solution pro...

29 Apr 2020  |  North America  |  Market Research

Post-Pandemic Growth Opportunity Analysis of the Global E-Learning Market

Lecture Capture Solutions Have Quickly Become Crucial to Business and Educational Institution Ecosystems

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This research measures the impact of COVID-19 on the global e-learning market. The e-learning ecosystem follows the entire learning flow: content creation with lecture capture solutions (LCS); publishing with massive online open courses (MOOCs) and dynamic publishing tools; management with learning management solutions (LMS); creating opportunities...

Frost & Sullivan’s research service assesses the size of the global medium- and heavy-duty (MD and HD) truck parts and services aftermarket and its growth opportunities from 2022 to 2027. This global study highlights major Class 4–8 truck aftermarket trends with specific regional analysis into North America, Latin America, Europe, Asia-Pacific, and...

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...

Learning management solutions (LMS) serve as an excellent means to deliver multimedia and interactive course content to today?s generation of digitally connected students and workforce. The need for this shift in learning/teaching methodologies is the result of changing expectations from students and their parents regarding educational institutions...

The automotive aftermarket parts trade is undergoing an evolution, largely influenced by the adoption of digital technologies. By 2030, approximately $153 billion in parts and accessories will be sold from the online channel worldwide, which represents significant penetration in most regional markets. Frost & Sullivan has been conducting research o...

The Frost Radar on account-based marketing (ABM) platforms analyzes providers that offer technology platforms, tools, and services created to streamline and optimize the execution of ABM strategies. ABM is a strategic approach in which a business targets its marketing efforts on a specific set of high-value accounts through personalized engagement...