This year we spent time researching and talking to experts in Asia, Europe, Latin America, and the US. The result is this new report Oil & Gas: Mitigate Future Disruptions with an Intelligent Supply Chain. The report is free to access, and we hope you take the time to read it and provide us any feedback you may have.
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.
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.
RPA, as an intelligent automation platform, will transform enterprise priorities: from a focus on technology adoption to process transformation, from number-of-bot measurement to process improvement metrics and from process output to business outcome.
Hiding our heads in the sand and pretending there is not a problem, is not going to cut it anymore. The concerns over bias and the use of Deep Learning are going mainstream. A recent article in the UK’s Guardian newspaper goes as far as to say that some innovation is worth stifling. Sadly, that is correct, shinier, faster, and more efficient isn’t always better.
Advent doesn’t start yet so it’s not too late to get a ‘bah humbug’ piece published in 2019… so here goes. This past year at Deep Analysis we have taken almost 150 briefings with technology vendors, some great, some ok, some terrible, but nevertheless all interesting. Analysts have long been trained to hold back and …
For the past six months, I’ve taken a deep, research-driven look at the state of the market for digital process automation. The result? Take a look at our newly published report, The State of the Digital Process Automation Market: Current Assessment 2019 which offers a broad view of the digital process automation market and vendor …
RPA and Process Automation—It’s An Upside Down World Read More »
It seems like every week; a technology vendor tells me how their AI product will free workers from mundane jobs and enable them to do more exciting work. And, every week I respond the same way (though sometimes more diplomatically) ‘that is not true.’ As AI works its way through blue-collar jobs, lower-paid white-collar jobs and now into higher-paid professions, that sales pitch that falls flat. In theory, AI automation could free workers from the mundane and create new and more exciting jobs. But in reality, that will seldom happen, workers are made redundant.
Here is our research agenda for the coming year – it may change and will certainly be updated but hopefully this provides you some insight into what we are working on. As always if you have any suggestions or feedback reach out as we want to be sure our work is relevant, timely and of value!
