This podcast discusses how recommendation systems are becoming increasingly important and can be used to increase revenue or click-through rates. It also covers the advancements in algorithms and how large-scale recommendations are implemented in real-time. The speaker discusses the importance of personalized recommendations for companies, the growth of this field, and how companies can reinvest in their recommendation systems to improve their user experience and revenue.

Miguel Fierro is a Principal Data Science Manager at Microsoft Spain, where his job consists of helping customers leverage their processes using Big Data and Machine Learning.  Previously, he was CEO and founder of Samsamia Technologies, a company that created a visual search engine for fashion items allowing users to find products using images instead of words, and founder of the Robotics Society of Universidad Carlos III, which developed different projects related to UAVs, mobile robots, small humanoids competitions, and 3D printers. Miguel also worked as a robotics scientist at Universidad Carlos III of Madrid (UC3M) and King’s College London (KCL) and collaborated with other universities like Imperial College London and IE University in Madrid.