AI

Generative AI is a subset of AI meant to provide new content like text, images, audio, or synthetic data from patterns in existing data. Generative AI is at the forefront of healthcare innovations that are repositioning diagnostics, research, training, and patient care. Today, generative AI in healthcare use cases is expanding rapidly, demonstrating real potential…

In 2025, the digital banking landscape is being shaped by artificial intelligence (AI) like never before. Traditional banking is no longer enough for the digital-first customers of today who expect hyper-personalization, instant service, and bullet-proof security—all in real time. This is where AI steps into the picture as more than just a back-office enablement system…

The finance world is undergoing a revolution, and AI is front and center in it. The use of AI spans from automated portfolio management to predictive analytics through algorithms. In a big way, it is changing modes of investment, management, and maximization. As technology keeps evolving by the hour, understanding how AI is impacting the…

Insurance has always focused on managing risk; however, the way it manages risk is changing rapidly. With the integration of advanced technologies, AI ML use cases in insurance are transforming traditional processes—enabling predictive analytics for underwriting, automating claims processing, detecting fraud in real time, and delivering hyper-personalized customer experiences. The industry is moving away from slow…

Machine Learning in business is not packaged as a separate tool or denoted by a new interface. Most of the time, it blends into the systems teams already use, routing requests, refining forecasts, and highlighting what needs attention. You don’t need to call it out to see its value. Sales teams follow up on leads…

Generative AI chatbot tools are everywhere. But once you bring them into application in real-time, most of them are not enough.  They seem impressive in demos. The interface is kept clean. The responses seem sharp until you try to rely on them during a deadline or a team call. Then it gets frustrating. Some forget…