Since then, we’ve seen advancements in:
Machine learning and workflow
Artificial intelligence (AI) is taking its strategic place in both operational and strategic business process management. New software enhancements to robotic process automation (RPA) will allow the technology to better observe and learn from human patterns optimizing — front-office and back-office experiences. Machine learning is poised to revolutionize workflow, helping to enable companies to trigger new processes, reroute running processes and make action recommendations based on predictions.
Gartner Research has coined the term “hyperautomation” to describe the merging of machine learning, packaged software and automation tools to rapidly maximize the number of automation processes in a business, and greatly increase productivity. Hyperautomation requires a range of cognitive and automation technologies coming together to deliver both the intelligence and the power to put the intelligence into action.
AI-based systems will be able to remember (automating future robot configurations) and reason (predictive and probabilistic processing) so that automated systems gain the ability to learn and interact.
Intelligent industrial robots
Robots will perform multiple tasks, make decisions, and work autonomously — including self-diagnostic and predictive maintenance capabilities.
Low-code or no-code workflow software
Workflow software requiring minimal or no coding will continue to be a strategic priority to make process automation more accessible to the entire organization — especially line of business.