Global Machine Learning Market 2020: This is a latest report, covering the current COVID-19 impact analysis on the market.

Artificial Intelligence (AI) is described as the science of creating intelligent machines capable of performing real time tasks at a level of human expert emphasizing nearly every business operation across various business sectors. Traditional review methods in insurance sector posed several threats related to policy making, premium rates fixing and risk of grouping policy holders. The evolution of AI as an insurance technology is mitigating these risks and also supporting the insurers in decision making. The increased level of personalization and better outcomes to the customers offered by AI are the major driving factors for the rise of AI in insurance sector. New research report on the global Artificial Intelligence In Insurtech market is a complete overview of the market, covering various aspects product definition, segmentation based on various parameters, and the prevailing vendor landscape.

Research and Markets has announced the addition of the "Global Neural Network Software Market (2016-2022)" report to their offering. Neural network software is used in stimulating, researching, developing, and applying artificial neural networks to a wide array of adaptive systems such as artificial intelligence and machine learning. Neural network simulators are software applications used in stimulating the behavior of artificial or biological neural networks, with a focus on one or a limited number of specific types of neural networks. The most common type of neural network software historically was use in researching neural network structures and algorithms. The neural network software market is witnessing rapid growth due to increasing need for data archiving tools in order to organize the data generated from varied end user sectors.

Self-Driving Trucks -Continual developments are making long-haul trucks that drive themselves for extended stretches on highways more attainable. Significant challenges remain, including having sensors and code match the situational awareness of a professional trucker. In the short term, this technology may free truck drivers to complete routes more efficiently, but it could also erode their pay and eventually replace many of them altogether. Key companies to watch in this area include Daimler, Otto, Peterbilt, and Volvo. Availability is prediction to be in 5 to 10 years.