“Succeeding in the age of automation will be all about how we approach the cultural and technological shift required within IT”, according to Forbes.
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In a recent joint announcement from Amazon, Google, IBM, Microsoft, Oracle and Salesforce, the companies stated, “The healthcare industry is at a turning point. Patients and providers are eager for advances in value-based care, patient engagement, and machine learning as they look to usher in a new era of constantly-improving health outcomes and well-being. Interoperability is key to removing the barriers between the healthcare industry and the future it seeks to build.”
A recent article by InformationWeek’s Jessica Davis proclaimed, “RPA is the fastest growing category of software today, driven by enterprise digital transformation efforts.” Davis went on to cite a Gartner report which found RPA has year-over-year growth of 63 percent, which it attributes to “an expensive patchwork quilt of applications and systems” that companies are struggling to manage.
In a recent article in the Enterprisers Project, Kevin Casey wrote, “If it’s repetitive and manual, it’s probably a good fit for RPA.”
People make mistakes. Human behavior so often falls short of ‘expected standards’, it begs the question why we hold ourselves to such standards at all. Too often, we build systems and processes on the implicit assumption that the people using them will be rational, infallible, and consistent. Of course, the truth is that most of us are anything but.
Our general fallibility is obviously closely tied to AI and test automation. Automated testing is immune to the unintentional biases and lapses in concentration that affect human testers.