Fortunately, workforce safety software has emerged to help organize and manage the return-to-work process.
All established organizations must deal with their legacy IT, with decades of hodge-podge implementations, custom development, and little appreciation for the bigger picture. But the good news is that broken processes that became painfully obvious this year will put business transformation in play for the better. Using RPA systems to hit the organization’s head against figurative brick walls are but a symptom of the work that is ahead of us.
Whenever we discuss trends, the conversations inevitably turn to the future of artificial intelligence and machine learning (AI/ML) in process automation and robotic process automation (RPA). Frankly, I’ve found that most vendors latch on to the idea but have very little substance behind their words in terms of strategy and product roadmaps.
Increasingly, my colleague, Alan Pelz-Sharpe, and I are finding substantial convergence and common ground in our coverage areas. (Alan covers blockchain, content, compliance, and AI/ML, and I cover digital process automation, RPA, process mining, and customer experience.) The COVID-19 pandemic is pushing this trend even harder as companies struggle to get their arms around documents, tasks, processes, commerce, and customers so they can deliver products and services more rapidly across ever-morphing supply chains.
Have you ever wondered where all the Lean, Six Sigma, continuous improvement, and operational excellence practitioners have gone? When the BPM (methodology + software) conversation turned toward digital process automation (software and very little process methodology) much of the continuous improvement conversation went away. Poof–it disappeared, to be replaced by a lot of technical talk.