The trust we have for any technology is usually limited. With artificial intelligence, we can be tempted to be even more skeptical: if it’s to display intelligence, the bar is set high. The problem can grow when we consider that there’s no clear, uniform definition of human intelligence. If the original is not fully understood, [...]

The sins of AI adopters, part 3: when you don’t focus on people quite enough Adopting a new technology can make us lose sight of the people we work with. Not forever, of course, but even when you implement AI, there are certain roles that people play, and it won’t change. Artificial intelligence is not [...]

The sins of AI adopters, part 2 The difficulty in identifying appropriate business use cases for AI projects remains one of the top barriers to AI implementation. Selecting an AI project, especially for the first time, can be challenging since it requires organizations to find the perfect balance between business and technology. Matching these two [...]

The sins of AI adopters Artificial intelligence adoption may be tricky. It’s a technology different than any other you’ve implemented before. There are rules to follow, some of them incomprehensible to someone without extensive AI knowledge. There are certain challenges companies can face while implementing AI: data quality, model errors, lack of data science experts [...]

Dynamic pricing has been around for as long as we’ve known commerce. Prices vary depending on a number of factors: customer status, location, supply, demand, time. We’re witnessing more on more online sellers adopt this pricing strategy too and it seems like it’s working. It’s an easy way to stay competitive and squeeze out more [...]

This is an excerpt from the ebook “Predictive Analytics for Business”. Download full text here.  What is dynamic pricing? Dynamic pricing is a pricing strategy in which companies apply variable pricing instead of traditional, fixed pricing. Prices are set in accordance with current market demands and as data is analyzed, the right prices are calculated. [...]

Recommender systems promise to reduce churn and increase sales. But how do you measure their actual success? What is it that you should measure? And what challenges should you look out for when you’re building your recommendation engine? In this article, we’ll discuss some challenges of recommendation engines, the ROI, and standard metrics to help [...]

Learn from the best: Netflix, Amazon, and Google The biggest players use recommendation engines to boost sales, increase revenue, and improve customer experience. They have experimented with recommenders and worked out the best ways to use, so now businesses all around the world can learn from them and follow their lead. Though you may not [...]

5 sales and marketing use cases to maximize ROI Predictive analytics is a powerful tool enhancing the work of staff across various departments, especially sales and marketing. Predictive analytics unlocks the potential of the data organizations collect - without a way to analyze data and derive insights from it, it’s useless. But with PA, you [...]

Do you enjoy the movies that Netflix recommends to you? How often do you buy the products from the “others also bought” section? Countless businesses now use recommendation engines to improve customer experience and increase revenue. The cool thing about recommendations is that they’re awesome both for you as a business and you as a [...]