Financial institutions have a natural desire to predict the volume, volatility, value or other parameters of financial instruments or their derivatives, to manage positions and mitigate risk more effectively. They also have a rich set of business problems (and correspondingly large datasets) to which it’s practical to apply machine learning techniques.
We use these buzzwords everyday but how accurate are they really?
We polled ecommerce marketers to uncover the most effective channels for promoting a new online store. Here are the channels and tactics they recommend most.
Our CEO, Pavel Dolezal, hosts DataHeroes - a podcast about data, current technology trends and innovative company culture.
From varying attribution models to offsetting overall costs, these 27 marketers share how to determine whether a content marketing strategy is paying off.
According to the Smith School of Business, 41% of business leaders reported that they rely too much on intuition (also known as the infamous "gut feel") and not enough on data.
Ten years ago I was a typical nerd, compiling Linux system from the source code, working for the digital company První multimediální as a Linux admin. Switches, VPN and whole LAMP stack was my daily bread. On the side me and my good friend Mirek Burkon got a project - building project management tool for some NGO. The product promise was somehow similar to Basecamp (which I haven’t heard of at the time). It was a success and we decided to turn it into a product.
To start, let me be crystal clear - silos develop naturally. For example, let’s take a look at how the agricultural revolution ushered in the age of specialization.
Artificial intelligence became one of the hottest tech topics in 2017 and is still attracting attention and investments. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s artificial intelligence dreams have come to fruition.
