Internet of Things in Insurance. How IoT Technology Reshapes Business?
Internet of Things – key driver of data generation. IoT can provide insurers with valuable insights, potential to predict and prevent risks
Internet of Things
What is IoT? The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.
4 pillars of IoT and the main concepts to understand are Data, Device, Analytics and Connectivity.
IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Wearable Technology & Fitness Devices Changes Insurance
Wearable technology like smart watches and fitness devices are changing the way insurers and insureds interact with data, but where has this revolution come from?
The Future of Insurance, InsurTech & 5G in a IoT-connected Ecosystem
As 5G towers begin to conspicuously populate our communities, we ask what the technology will mean for the insurance industry
How IoT, ML, AI and Blockchain Technology are Changing Insurance?
Changing technology affects everything from what we eat to how we pay for our meals. Have you ever considered how it is changing the insurance sector?
As electric vehicles (EVs) gain popularity, the insurance industry is also adapting to meet the unique requirements of eco-conscious drivers
Integrating real-time data analytics through big datasets, AI, and ML technologies empowers companies to detect high-risk policies before solidifying agreements
In 2025, the best automated mail sorters will transform how insurance professionals sort and distribute communications, enhancing speed and reducing human error
Generative artificial intelligence (Gen AI) is no longer a futuristic concept. AI’s potential to amplify systemic risks, such as through polymorphic malware or AI-targeted data breaches