The task of selecting, training, and deploying a time-series prediction or anomaly detection model is complex, time-consuming, and uncertain. Given the difficulty of working with time series, having a fast model that serves as a baseline against which to test…
In data science, forecasting is a widely used technique in data analysis. In this post, we’ll explore what NeuralProphet is and how it works—an open-source library designed to perform forecasting tasks. What is forecasting? In the fields of statistics and…
In a previous post, we analyzed from a theoretical point of view which are the main libraries for data science and machine learning used by data scientists to treat data efficiently and extract its full potential. In this post, we…
The post Process Discovery: Methods and a Practical Example already explored this popular technique for deriving a process model from logs of the original system. However, there is much more that can be done with those process logs. For example,…
Nowadays, generative AI for businesses has gone from being a pipe dream to a reality. As we discussed in Generative AI for businesses: How to implement private agents, integrating these systems has become a major opportunity for companies looking to…
Artificial intelligence has become an indispensable tool in our daily lives for many of us. While 2024 and 2025 saw a real boom, 2026 is shaping up to be the year of generative AI for businesses. It is no longer…
Data deduplication is a problem that affects many organisations. In addition to negatively impacting business operations, it can also affect costs. In this article, we will analyse what it entails and what architecture to implement in a project of this…
In sectors such as hospitality and aviation, dynamic pricing systems are the basis of revenue management. What is Dynamic Pricing? A dynamic pricing system is a series of algorithmic rules that adjust prices in real time based on certain factors.…
One of the most important things to grasp in hospitality is that price setup and operation are aligned to set resources with an anticipated level of occupancy. However, unlike the retail sector, demand is latent. This means that if these…
Cancellations are among the most frustrating (and costly) irritations in the hotel business. Rooms that are blocked for guests who don’t show up result in lost revenue and ruin forecasts. What if hotels could predict, with a fair degree of…