Abr 29 — 2022 Driving adoption in data science solutions Have you ever seen or participated in a project where a great tool was developed and then no one ever used it? It’s a story that is repeated time and time again: when a project is delivered and adoption is not as high as would […]

Abr 7 — 2022 Outliers in data preprocessing: Spotting the odd one out! More than 2.5 quintillion bytes of data were generated daily in 2020 (source: GS Analytics). To put this in perspective, a quintillion is a million million million or, more simply, a 1 followed by 18 zeros. It is therefore not surprising that […]

Jan 20 — 2022 7 trends that will define transformational programs and data initiatives in 2022 You can argue about how much the pandemic had to do with the increasing pace at which Artificial Intelligence (AI) was adopted throughout 2021, but what you cannot argue with is that Covid has pushed leaders to accelerate research […]

Jan 11 — 2021 TRANSFORMERS: multi-purpose AI models in disguise (Part 2) In the first part of this article, we took a look at the Transformer model and its main use cases related to NLP, which have hopefully broadened your understanding of the topic at hand. If you have not read it yet, I suggest […]

Jan 10 — 2021 TRANSFORMERS: multi-purpose AI models in disguise (Part 1) Novel applications of this powerful architecture set the bar for future AI advances. If you have dug deep into machine learning algorithms, you will probably have heard of terms such as neural networks or natural language processing (NLP). Regarding the latter, a powerful […]

Aug 19 — 2021 The opportunity to apply responsible AI (Part 1): Guidelines, Data Science tools, legal initiatives, and tips. Intro Dramatic increases in computing power have led to a surge of Artificial Intelligence applications with immense potential in industries as diverse as health, logistics, energy, travel and sports. As corporations continue to operationalise Artificial […]

Aug 19 — 2021 The opportunity to apply responsible AI (Part 2): Guidelines, Data Science tools, legal initiatives, and tips. Intro In the first part of this article we discussed the potential harm and risks of some Artificial Intelligence applications that have demonstrated immense potential across many industries. We concluded that the ability to explain […]

Jul 23 — 2021 How using adaptive methods can help your network perform better Intro An Artificial Neural Network (ANN) is a statistical learning algorithm that is framed in the context of supervised learning and Artificial Intelligence. It is composed of a group of highly connected nodes called neurons that connect an input layer (input), […]

Apr 27 — 2021 Quantum Physics II — Data collection, modelling, and analysis at CMS CERN CMS ALGORITHMS FOR ANALYTICS AND DARK MATTER DETECTION In this second part of the previous introductory article, we’ll tackle the more in-depth description of data collection, object modelling, and data analysis at CMS. The general workflow behind these kinds […]

Apr 27 — 2021 Quantum Physics I — the CERN data workflow in new Physics discoveries. HOW DATA ANALYSIS AT CERN CAN HELP DETECT DARK MATTER A comprehensive guide of the CERN workflow in new Physics discoveries. Are you interested in learning more about particle physics? You might have heard terms like neutrinos, quarks, or […]

Jan 8 — 2021 Trends in Data Science & AI that will shape corporate strategy and business plans Intro In response to the most atypical year that many of us may have probably lived, leading companies have wisely reconsidered where to place their money. Inevitably, the pandemic has noticeably sped up the adoption of Artificial […]

Dec 11 — 2020 Investing in Artificial Intelligence Intro While overall adoption of artificial intelligence (AI) remains low among businesses, every senior executive that I discuss the topic with claims that AI isn’t hype, although they confirm that they feel uncertain about where these disciplines may provide the largest rewards. One premise is obvious to […]

Dec 11 — 2020 Omitted Variable Bias in Machine Learning models for marketing and how to avoid it Intro This isn’t a highly technical article explaining the maths of Omitted Variable Bias (OVB), there are plenty of brave individuals who have already taken this approach, and theirs can be read here (1) or here (2). […]

Dec 1 — 2020 A short introduction to Neural Networks and Deep Learning Introduction In this article I attempt to provide an easy-to-digest explanation of what Deep Learning is and how it works, starting with an overview of the enabling technology; Artificial Neural Networks. As this is not an in-depth technical article, please take it […]

Nov 13 — 2020 The data in the esports Intro The interest in esports is growing and this widespread phenomenon massively attracts millions of individuals around the globe every day. What started out as a niche activity has now turned into shows that bring thousands of people together in stadiums and pavilions. All this may […]

Oct 26 — 2020 Artificial Intelligence Machine Learning and Deep Learning: A fruitful chat on buzzwords Intro In this article, we are sharing our vision of Artificial intelligence (AI), Machine Learning (ML) and Deep Learning (DL), including an overview of what lies behind these technologies and practices, and providing some real examples of their application […]

Oct 14 — 2020 Data Science versus Business Intelligence Intro Data is everything, everywhere. Imagine that you leave your house in the morning and you start pondering which route you should take to work: Ok, that simple decision based on a quick estimation of time and distance is data-related. From a simple commute, we can […]