Machine learning (AI)

AI is undoubtedly the hottest trend right now, and many businesses struggle to understand how to get started with their AI development. Many companies lack the skills needed, and the severe global shortage of AI experts doesn’t make things easier. This is why a new sub-field of AI – called AutoML – is gathering a

When we talk about AI, for the most part, we don’t mean real artificial intelligence like we see in the movies. In most cases, we mean machine learning, or perhaps predictive analytics. Essentially, this is just a clever use of statistics. Artificial intelligence is broken into two categories: ‘Weak’ or ‘narrow’ AI, and ‘strong’ or

Three main technologies have together enabled what is commonly called artificial intelligence: big-data, predictive analytics, and machine learning. But what are they? Big data means the collection and analysis of huge collections of information—sometimes trillions of pieces. When examined properly, this enables the detection of almost invisible trends and correlations. We can, for example, detect

With artificial intelligence and related technologies, we can predict the future behavior of someone or something and determine how we should best respond to those insights. This is very valuable in many industries, for example in marketing. We can predict the probability of specific events; for example, if a blog post topic will perform well,

Machine learning (commonly called “AI” these days) are getting into every industry. But how does it work, and what is required to create a machine-learning system that can “AI-power” your business? In Predictive Analytics and Machine Learning, I presented an introduction to the topic. In this blog post, I explain the main steps required to

Nowadays, we are drenched in data. All manufacturing and business processes generate enormous amounts of data, and the digital footprints and marketing data from online behavior is another source of data that can be harvested for business insights. The next big data source to harvest for business insights is the Internet-of-Things, or IoT, where all