Markerstudy is the UK’s leading MGA and works with more than 1,000 broker partners. Established in 2001, it has grown through a series of acquisitions.
It is a big player in the car insurance market, offering niche products such as multi-vehicle movie sets and cover for high-performance motors and expensive imports. It also has a large footprint in the stock market through its Geoffrey insurance business.
VisionTrack is Europe’s leading provider of connected vehicle cameras and video telematics. The company’s unique approach helps tackle some of the most complex challenges faced by the fleet, transport, and insurance sectors.
The company has developed a cloud-based IoT platform that provides operational insight, business intelligence, and enriched vehicle data. This helps customers make strategic mobility decisions by enabling them to respond quickly to driving events and understand fleet risk.
It also combats fraud and controls the claims management process. Its world-leading algorithms, behavioral and video analytics, machine learning, and artificial intelligence (AI) help to reduce costs and improve safety.
VisionTrack’s innovative solutions include a fleet dash cam and mobile digital video recorder (MDVR). The company’s VT3500 and VT3000-AI dash cams are the most sophisticated AI-powered 4G dash cameras available with built-in Driver Status Monitoring (DSM) and panic alarm. They can be combined with additional VisionTrack camera options, including driver, side, rear, and cargo facing, to provide a fully effective risk management solution.
Predictions are a valuable tool for businesses and organizations. They help to improve efficiency, manage risks and develop new products and processes.
Automated predictions can be used for various business use cases, such as demand forecasting, headcount planning, churn analysis, external factors, and competition. It also helps businesses to price their products and manage inventory more effectively and reactively.
A predictive engine is based on several regression models, which represent the correlations between at least two variables that are in consideration. These can be linear, discrete choice, profit, and logistic regression models.
ML has been a game-changer for automation, allowing machines to take over specific tasks previously performed by humans. However, there are some challenges to this approach.
Performance evaluation, for example, is hard to do for automation use cases, as you lack access to the ground truth (labels) once you have deployed the model. There are solutions, though, such as spot checks and predictive performance estimation.
If you’re looking to integrate smart devices with a business system, an IoT platform can help. These platforms provide a central point to store data and allow it to be shared with other systems, as well as provide a set of features to speed up development and ensure scalability.
The best IoT platforms will be flexible enough to adapt to your specific needs. They can incorporate industry-specific components, third-party applications, and more, allowing you to build a solution that meets your unique business requirements.
IoT platforms also offer advanced data management capabilities, enabling you to access overviews of your device data easily. This helps you monitor the performance of your devices and make data-driven decisions about what to do next.
While choosing an IoT platform, look for a reputable company with a strong reputation and stable financials. Using an unknown provider could cost you money and time in the long run.
The use of AI technology to analyze, automate and optimize business processes is rapidly advancing. AI can be used to streamline supply chain management, improve customer service, and even detect fraudulent behavior.
Artificial intelligence is a field of research in which algorithms mimic human cognitive activities, including learning and reasoning. The goal is to replicate human thought processes to enable machines to execute tasks from the most basic to the most complex.
The field is largely untapped, but it has the potential to change every aspect of our lives. However, many challenges and concerns need to be addressed as technology advances. Among them are bias and discrimination.