Almost all sectors from finance, customer care, IT, and supply chain management are reworking their organizational strategies to incorporate digital transformation in their sector.
Experts have recommended time and again that companies have to radically alter their existing dynamics to accommodate change and stay relevant.
Processing huge volume of data on a day to day basis is a tedious, time-consuming affair for insurance companies. AI could just be the game changer due to its speed and utility.
Intelligent Automation(IA) systems can detect and produce large amounts of information, automate an entire process or workflow, learn and adapt as it keeps improving with daily updates and interaction.
Cognitive AI uses previously under-utilized data for segmentation, identification, and scoring of customers. This is the edge a data-driven customer experience has over others.
Automation in logistics is at a nascent stage. Reports show that implementing automation can deliver up to 30% increase in transaction speed, 25% reduction in cost, 100% accuracy and better compliance.
A McKinsey study says that Robotic Process Automation (RPA) is a promising new development in business automation that offers a potential ROI of 30–200 percent — in the first year.
Technology has made financial crimes more sophisticated. That’s why machine learning and stream computing are better traditional rule-based systems when it comes to combating complex fraudulent activities across the financial sector