Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a stack is a data area or buffer used for storing requests that need to be handled.” And what’s inside that data stack? It’s not just

AI is now prevalent in major companies and services that we use every day. From product recommendations to personalized ads, from voice assistants to image recognition, AI helps us in hundreds of ways. That’s fine if you’re a digital-first company, born on the internet and versed in data science, machine

The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual

It looks like the digital form of communication is here to stay for a while. Still, there are lots of opportunities for Data Scientists and data-driven professionals to meet, collaborate, network, and think about their next career move. Here is the list of online events that are worth attending to

A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe’s coolest Data Science gathering. We are about to enter 2020, a new decade in which Artificial Intelligence is expected to dominate almost all aspects of our lives- the way we live, the way

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on.  “Without data, you simply can’t

By leveraging Data Science, AI, and other digital technologies, the healthcare industry could build complementary health solutions that are personalized to the specific needs of patients. Here is how and why.  The world population grows by more than 80 million per year, according to a 2017 report by the United Nations.

Aleksandar Kovačević, Sales Engineer at InterSystems, shares how companies use MLOps combined with a central multi-model database to get the most out of their machine learning initiatives.  Artificial Intelligence (AI) and Machine Learning (ML) are hot topics at the moment. But when it comes to producing quantifiable results, there is

Netflix excels at attracting users to its platform and hooking them on to the content it provides. For several years, pharmaceutical companies have wanted to achieve the same thing with specialised medical content. But is it that easy to transfer the “Netflix principle” to the pharmaceutical industry? What kind of

Vice-President of XING’s Data Science team, Dr. Sébastien Foucaud, believes the time of blackbox AI is behind us. The market leader in the DACH region has a vision for its Machine Learning: it should be explainable to the boss, as well as to users.  Focussing on German-speaking countries since 2012,