AI-driven Hyperautomation - The Joint Technology Forces

There are a lot of factors playing into the relationship between technological process and human engagement broadening the horizons of automation through AI and machine learning . Hyperautomation builds on automation and broadens the meaning, goals and capabilities of automation, turning it into an ever-improving, AI-driven process that feeds on data. This leads to more accurate, faster and more efficient results.

The enhanced intelligence aspect of hyperautomation comes in many shapes and forms that seem very natural and ubiquitous nowadays. It can be an NLP algorithm that understands speech and writing and allows it to interpret communication. It can be the process of transforming images into text through optical character recognition — or OCR. Or it can be a machine learning algorithm that continuously analyzes data and identifies patterns to make more accurate predictions. At the core of hyperautomation is the right combination of a variety of tools connected by superior AI intelligence. One way or another, AI-driven hyper-automation is not in the distant future anymore. It's here and now.

Login to this session as Raghav shares interesting insights on how all these types of advanced technologies join forces to significantly increase the scope of automation and AI/ML application possibilities.