Artificial Intelligence and machine learning has matured considerably over the past few years. We can now find AI projects in every industry and across every potential application and project type. In our AI vendor classification matrix, we identified over 3000 vendor companies across over 100 subsegments of the AI market implementing a wide range of AI applications. Over 70% of these vendors are applying their solutions to industry-specific domains ranging from finance or healthcare to cybersecurity or autonomous vehicles. For sure, there must be millions of different ways in which AI and machine learning are being applied.

This post was featured in our Cognilytica Newsletter, with additional details. Everyone who has ever worked on a software project knows that you don't just simply put code and content out to your customers, employees, or stakeholders without first testing it to make sure it's not broken or dead on delivery. Quality Assurance (QA) is such a core part of any technology or business delivery that it's one of the essential components of any development methodology. And if you're doing this in an agile fashion, you do it in small, iterative chunks so you make sure to respond to the continuously evolving and changing needs of the customer. Surely AI projects are no different.

Artificial Intelligence (AI) can be a powerful technology applied to solve many significant problems for organizations and humanity. However, it also brings to the foreground many ethical issues for consideration. In this infographic, Cognilytica explains some of the top ethical concerns for AI and how we can possibly go about resolving them.

With the rise in popularity of AI has come the inevitable wave of those looking to take advantage of its popularity. Startups are beginning to realize that simply saying they have "AI" capabilities leads to increased valuations, greater attention, and more possibilities. But people are starting to get wise and it's already starting to catch up with these firms. News outlets are pointing out the fakery of media-ready robots that are really pre-scripted animatrons, and are calling out startups that are resorting to using humans to do the work of machines that are supposed to be doing the work of humans. Are these just temporary stop gaps that will be replaced with "real AI" when the technology is ready, or is this all smoke and mirrors from those who are saying they're doing AI but really doing something less than AI?