Big data, specifically with the help of artificial intelligence (AI), empowers insurance companies to make better financial decisions. Data science can help mitigate fraudulent claims, enhance risk management, optimize customer support, and predict future events, among many other benefits. The result is higher profits for insurance companies and lower premiums

If there has been a silver lining to the pandemic, it’s been added great momentum and speed to digital transformation. Financial Service Institutions (FSIs) are entrenched in an industry that is time-honored and, as a result, often old-fashioned. However, FSIs must embrace developments in technology, specifically AI and customer experience

AI tech trends are driving humanity forward. Digital transformation has reached every industrial sector, and AI is achieving things that scientists have only dreamed about. Now, AI and ML technology is being used in several real-world applications that consumers come into contact with on a daily basis.  While some dystopian

Technologies like machine learning and AI are changing the way that we do many things, including asset management, investing, trading, and managing money. Fintech solutions have been gaining popularity and challenging many key aspects of our financial landscape in the digital age.  Commission-free transactions and unlimited access make well-known stock

When we imagine the future of AI, we may think of the fiction we see in cinema: highly advanced robots that can mimic humans so well as to be indistinguishable from them. It is true that the ability to quickly learn, process, and analyze information to make decisions is a

Computing advances and data expansion have suddenly made AI part of everyday life and an invaluable tool for almost every industry. Healthcare, manufacturing, transportation, law enforcement, national defense, and education all stand on the precipice of revolutions due to AI’s evolution – but perhaps no field is so perfectly suited

To stay competitive in today’s world, organizations must have their fingers on their customers’ pulse at all times. Fortunately, increasing amounts of data about consumer preferences and behaviors allow marketing teams to identify the evolution of markets and customer demands. Effectively using big data for marketing efforts is now far