The key to successful AI projects: Start with the right problem

Four out of five AI projects fail. One of the top causes of these failures is related to the problems AI is asked to solve. If you fail to specify the problem correctly from the start, you’re setting yourself up for failure before the first algorithm is even written.

This article provides business leaders with best practices and practical guidance on finding and selecting the right problems that lead to successful AI projects.

Artificial Intelligence

Different types of AI systems: A primer

AI is not one technology, but many different types of artificial intelligence technologies. Each type of AI has different capabilities, strengths, and weaknesses. Applying the wrong type of AI technology to a task can lead to poor results and unacceptable risks.

This article provides business leaders with a working overview of the different types of AI to educate and inform on strategic decision-making around artificial intelligence initiatives.

Computer vision revolutionizes IoT

The convergence of computer vision with IoT is poised to disrupt

The Internet of Things is set to transform and disrupt what we do and how we do it. But there is a coming revolution – the integration of computer vision, machine intelligence, data analytics, with IoT that promises a whole new set of disruptions.

This post is Part One of a series of briefings on the convergence of computer vision and the Internet of Things (IoT). It discusses what computer vision is, the impact of advanced machine learning algorithms, examples of use cases, and current challenges.