Here is what a recent report says about opportunities for startups in Sports Technology in Europe. With 1500 startups and 900 new investment deals, it is safe to say that the field is vast and possibilities in the sector are booming. What is a SportsTech startup? How are these startups

As a relatively new role, “data guru” is a challenging job specification to draft for. Organisations are seeking highly-skilled and well-educated individuals to fulfil the position but, the truth is, the data scientist an organisation needs is not a guru, but a colleague. Most organisations forget that recruiting the right

Today, customers globally want to buy bespoke goods, made within the time and delivered at the right place. The production of the future will be focused on the personalized market which will respond to the demand changes. How would this tendency affect the future of ERP software? Enterprise resource planning

Here is how CIOs can use AIOps to create a strategy and foundation for the digital future. CIOs and operations teams across the globe are tuned into the rapidly developing area of AIOps (Artificial intelligence for IT operations). As Artificial Intelligence and Machine Learning continue to evolve and advance, IT

Was this a transition year for data protection? How much were the fines collected in the first year of GDPR? What regulations have been enforced so far? Here is all you want to know about GDPR, after a year of its implementation.   The European Commission started in January 2012

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

Design thinking continues to be all the rage amongst organizations of all kinds – from academia to startups, to agencies and consultancies, or large enterprises. The concept is popular today not because it’s new per se, but its approach to problem-solving fits well with the digital transformation that companies are

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the

Breaking down the workforce options for AI developers to structure raw data for machine learning. Here is a look. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern

How to implement an anonymous data collection scheme that allows the manufacturer to anonymously collect data from its end devices without knowing exactly which device it came from? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19