Blockchain and data science are two of the hottest technologies right now. It is not often that you hear about both of them being used in tandem. However, one company is doing exactly that. I had the chance to interview Freddy Zwanzger from Anyblock Analytics. Anyblock Analytics allows anyone to Read more…
CEOs and decision makers are increasingly realising that to in order to progress and keep up with their competitors they will need to start making data-driven decisions. Therefore, this has led to an increasing demand for data scientists and data science talent within organisations. However, when it comes to actually Read more…
In modern enterprises, supplier data is handled by multiple departments, and manipulated by siloed processes and disparate systems of governance. Within procurement, supply chain professionals are faced with the challenge of ingesting the enormous amount of data they have available to them. We all have a great appetite for data, Read more…
Recently, I had the great opportunity to partake in the London Market Forums (LMF): New World Series 2.0, a yearly event where thousands of insurance professionals came together in the UK to discuss, debate and collaborate on topics of mutual interest in the community. The finance and insurance sector Read more…
By Yasmin Chamchoun Even though women hold 47% of the work force in the UK, according to a recent Tech Nation report, only 19% of women are tech workers. What is more, 77% of tech director roles are fulfilled by men whereas only a mere 23% of women hold tech Read more…
When you stat learning about data science, it is important to be organised. Many data scientists tend to be messy by nature. Tools like Jupyter notebooks don’t really help much. While they can be very versatile and useful for experimentation, they can unfortunately make you learn the wrong habits. Some Read more…
As you might know I am a big fan of talking about various positions in the data science space. I have talked about the tribes of data scientists in the past, as well as the data science architect. The Analytics Engineer acts as the bridge between data engineers and data Read more…
Getting a job in data science Let me ask you a question, what do the following categories of people have in common: University students STEM graduates Humanities graduates Professionals over the age of 30 Moms returning to work Many of these people want to become data scientists! And this comes Read more…
One of the biggest dilemmas for decision makers is whether they should build their tech teams in-house or whether they should outsource. This is a big dilemma both for startups and entrepreneurs. The right choice can save you lots of money, time and effort. On this episode, we discuss about Read more…
Causal inference is one of the most exciting topics in machine learning. Some prominent researchers, like Judea Pearl believe that we will never be able to create true AI until we crack this. In this podcast we discuss more about this interesting topic.
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