The basic knowledge in the principles and practices around artificial intelligence (AI), automation and cognitive systems is something which is likely to become increasingly valuable, regardless of your field of business, expertise or profession. Fortunately, today you don’t have to take years out of your life studying at university to become familiar with this seemingly hugely complex technology. A growing number of online courses have sprung up in recent years covering everything from the basics to advanced implementation. Some are aimed at people who want to dive straight into coding their own artificial neural networks, and understandably assume a certain level of technical ability. Others are usefulRead More →

Even the most complex topics can be segregated in easy to consume buckets. Let me try to explain them   Artificial Intelligence (AI) Human Intelligence Exhibited by Machines Intelligence exhibited by machines Broadly defined to include any simulation of human intelligence Expanding and branching areas of research, development, and investment Includes robotics, rule-based reasoning, natural language processing (NLP), knowledge representation techniques (knowledge graphs) … Machine Learning (ML) An Approach to Achieve Artificial Intelligence Subfield of AI that aims to teach computers the ability to do tasks with data, without explicit programming Uses numerical and statistical approaches, including artificial neural networks to encode learning in models Models built usingRead More →