The most successful organizations have taken a very pragmatic approach to AI with use cases that solve nagging problems that could not be solved with traditional approaches. Let’s take a look at some of the use cases. AI is constantly evolving and, with every development, its value to businesses grows.

App-only challenger banks have risen to try and push incumbents off their financial perch, and in this battle, content marketing has been a valuable tool in their repertoires. Have you ever wondered how they do it? If you’ve never heard of Monzo, it’s a UK-based challenger bank that has grown

How can you make sure you’re building your machine learning infrastructure the right way? You’d be surprised to learn that you don’t need to have a full data science staff at hand. Machine learning has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. However, it

Corporations need to digitalize in order to overcome their challenges. That’s especially true for the large industrial corporations in Germany’s Ruhr region and its over 50 cities and municipalities. By collaborating with startups, they are able to drive the change forward, and that’s what the Data Hub program by Gründerallianz

Scientists uncover how information related to potential dangers can spread on social media and how this can be prevented. In Japan, a country prone to various natural and man-made calamities, users often turn to social media to spread information about risks and warnings. However, to avoid spreading rumors, it is

SMEs are the unsung heroes of any economy- producing numerous jobs, the backbone to big corporates to scale up and still struggling to sustain themselves. They are unable to innovate as fast as younger companies and lack the funds that larger corporations have.  As we enter a new decade, over half (58%) of

A few years ago, I combined my day job as a data engineer, helping customers engineer data analytics, with my love for  football and set out to beat the bookies. It’s an exciting game to play, and I have learned a lot about the merits of different predictive models that

Last year, we set up a prediction model on crime in London. We had established the model already, grounded in open data, but updated it to make predictions about 2017. We took the data provided by the police in the greater London area, and by enriching this data with Points

In today’s world of never ending cybersecurity threats, companies must be more diligent than ever in protecting their data from external and internal threats. The question of dealing with cybersecurity incidents is not a matter of if but WHEN. How a company responds to a breach is vital – the

IoT data offers answers to a simple question: “Are things changing or staying the same?” There are new data streams generated each day, that make it possible to quantify the formerly unquantifiable. The Internet of Things (IoT) enables us to measure processes and react more quickly to ever-evolving conditions, not