The telecom sector is the artery of connectivity, and there are new opportunities to deploy services and value using AI that can enhance telecom industry’s revenue.
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.
Banking and financial sectors have been using some form of machine learning to keep track of data but it is usually tedious and manual in nature. With high volume of data and the quantitative nature of finance, this sector is particularly suited for artificial intelligence.
Wealth management advice will come from bots that are free of calculation errors and faulty/biased judgement, unlike human advisors. AI and machine learning will play a key role in solving portfolio advice and equipping experts with key data points.
Gone are the days when a VC would have to travel across different states and countries to find the next ‘unicorn’ or reaching out to potential start-ups as all this information can be accessed using AI with just a click.