Our Thinking

At Online Business Systems we have our feet in two different worlds – Digital Transformation and Cybersecurity. As you can guess, we get a lot of questions about how to plan for and incorporate a security strategy when designing and executing a digital transformation project (e.g. process automation, transforming to a paperless organization, incorporating AI, or a cloud migration.) I have read quite a few articles and blogs written on this topic recently and had a few thoughts of my own based on my experiences being on the front lines where we’ve seen security done well (and also, unfortunately, not so well.)

In a world where autonomous systems are becoming more numerous, there is pressure to build similarly autonomous agents to observe these systems for anomalous behavior. Given the complexity of the systems, and the fact that it is not economically viable to employ humans to observe them, we must find a way of algorithmically solving this problem.

Our founder and CEO, Chuck Loewen, reflects on the ever-changing landscape for businesses in 2019, and what he believes has helped Online stay current, after 33 years.

Robots are transforming our world, our workplace, our work. Amazing advances in the field of robotics has machines and artificial Intelligence (AI) doing the work of humans. A recent report by the McKinsey Global Institute concluded that nearly two thirds of all jobs could have at least 30% of their activities automated by 2030.

AI is not a new topic but it’s becoming an organizational process that needs to be understood, prepared for, and ultimately adopted. As we work with clients on digital transformation and cybersecurity projects, AI is almost always a topic of interest if not intentional consideration.

Solutions that leverage Robotic Process Automation (RPA) are a common outcome when companies combine User Experience initiatives with Artificial Intelligence. 

Why are so many companies looking to integrate AI into their day-to-day business processes?

While some people have concerns that AI is being used to reduce the number of workers, the reality is that AI can be used to drive efficiency and raise productivity. By assigning high-frequency, repeatable business activities to robotic processes, organizations are able to focus more time and attention on higher level activities.