Why such a big gap between machine learning model development and production? What are the big challenges and how are they being solved? Adrià Salvador, lead of the Data Science Productivisation team at Glovo, is here with us today to share his tricks and tips in the field of ML Ops.
Admond Lee gives us a tour on how he went about developing his own image and brand as a data scientist- how he started with publishing in Medium and Toward Data Science, to teaching data science personal branding courses, to speaking at meetups and events, and to seeking mentorship...
Eduardo Peire and his team at AI Scope are developing an app, powered by computer vision Deep Learning algorithms. By connecting a phone to a microscope, the app automatically detects infectious diseases, reducing the cost and increasing the scale of diagnostic for people in vulnerable environments.
Data Science in the world of marketing. How does marketing effectiveness get measured? How do we develop metrics and models to shape decisions? Is data science really science? Join our conversation with Alicia to talk about her experience working as a data science in Social Point.
Holaluz is a renewable energy provider in Spain and today their Sr. Data Scientist Pablo Rosado is sharing his challenging experience of working in the industry. Messy data and fast-paced environment surprise anyone who's used to build neural nets on perfectly clean datasets...
Citydata.ai aims at making small cities with limited budget smarter and more sustainable, using AI-powered solutions that respect privacy, and working hand in hand with the agenda of Sustainable Development Goals.
The impact of technology advancement on unemployment is always a hotly debated topic. What is technology consultant and futurist Marc’s perspective on it? This episode is a macro vision of data and technology and its potential impact into the future.
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