Continuous intelligence for business decisions – Valentino Zocca

The recent AI revolution was based on a few important pillars: abundance of data, lower costs in storing it, faster computing speed and distributed computing. To date, however, there still are some critical steps that are missing to achieve true continuous intelligence. Continuous intelligence refers to a design in which real-time analytics is seamlessly integrated within a business operation to support decision automation. Data processing can therefore be used to respond real-time to events. In order to achieve true continuous intelligence we are still missing a couple of key elements, in particular explainable AI and better graph analytics. Deep Learning uses multi-layers neural nets that have been extremely popular in recent years, in particular for computer vision.