Artificial Intelligence is a dynamic and rapidly changing field of study. By the time a book on AI is written and goes through the entire publishing cycle, it's likely that the whole landscape of the industry will have changed by publication. Because of this dynamic blogs are one of the best ways to keep up to date on the industry. Especially if you are a small-business owner. As a small business owner, it's less important to you to understand what is at the cutting-edge of third generation technology like Artificial intelligence, machine learning, and blockchain.

For those of us that follow artificial intelligence (AI), we are often bombarded with negative messages about the role of AI. Generally, these messages are either based on a false understanding of AI, thinking that it is some sort of replacement for knowledge workers instead of a tool, or the negativity that comes from Hollywood films. However, once in a while a non-biased academic source publishes research on the role of AI and the future of work. Early this month, Stanford University released an artificial intelligence impact study as part of its One Hundred Year study of Artificial Intelligence. "Contrary to the more fantastic predictions for AI in the popular press, the Study Panel found no cause for concern that AI is an imminent threat to humankind… Instead, increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030, the period this report considers."

Artificial Intelligence (AI) and robotics are both very popular topics in the media today, which comes as no surprise. Recent developments in AI and robotic technology have encouraged an increase in adoption of automation tools rates across the world. With all this coverage, it's common to hear myths and hyperbolic statements about how this new technology will impact our lives and careers. So in order to help you keep the facts straight, here are some of the most common myths about robotics and automation that we've heard recently. This seems to be a recurring headline in the newspapers.

It seems today that Machine Learning has become synonymous with Artificial Intelligence. While this is the result of good marketing, it isn't rooted in reality. The reality is that Machine Learning is just one approach to AI (in fact it's called the statistic approach). In the field of AI, there are two main schools of thought when it comes to programming how to make a machine mimic a human business process: statistic (sometimes called probabilistic) and deterministic. Neither of these approaches are "superior" to the other, they are just suited better to different use cases.