Data Privacy

Datacast Episode 64: Improving Access to High-Quality Data with Fabiana Clemente

Datacast Episode 64: Improving Access to High-Quality Data with Fabiana Clemente

Fabiana Clemente is a Data Scientist with a background that ranges from Business Intelligence to Big Data Development and IoT architecture. Throughout her professional career, she has been leading state-of-the-art projects in global companies and startups. She has an academic background in Applied Maths, and MSc in Data Management combined with nano degrees in Deep Learning and Secure and Private AI.

As YData’s Co-Founder, she combines Data Privacy with Deep Learning as her main field of work and research, with the mission to unlock data with privacy by design. She also aims to inspire more women to follow her steps and join the tech community.

What I Learned From Attending DataOps Unleashed 2021

What I Learned From Attending DataOps Unleashed 2021

Last week, I attended DataOps Unleashed, a great event that examines the emergence of DataOps, CloudOps, AIOps, and other professionals coming together to aggregate conversations around the latest trends and best practices for running, managing, and monitoring data pipelines.

This long-form blog recap dissects content from the session talks that I found most useful from attending the summit. These talks are from DataOps professionals at leading organizations detailing how they establish data predictability, increase reliability, and create economic efficiencies with their data pipelines.

Datacast Episode 40: Biological Aging, Probabilistic Programming, and Private Machine Learning with Matthew McAteer

Datacast Episode 40: Biological Aging, Probabilistic Programming, and Private Machine Learning with Matthew McAteer

Matthew McAteer is a Machine learning Researcher at FOR.ai. Before this, he got his career started in biological aging, before moving on to the mission of figuring out ways in which machine learning could be used on large amounts of noisy biomedical data. He has worked for many companies as a machine learning engineer and researcher, ranging from small startups to Google's TensorFlow team. His work on subjects like security and safety in machine learning has also been showcased at top conferences like ICML.

Datacast Episode 3: How to Be a Social Media Data Whiz with Leni Krsova

Datacast Episode 3: How to Be a Social Media Data Whiz with Leni Krsova

Leni Krsová is social media data analyst from the Czech Republic, currently based in Prague. At the beginning of her career, she worked for Czech TV, a public broadcaster in the country, as a social media editor but switched quickly from marketing to the path of a data analyst. Since then she is interested more and more in data analysis of social media and online news media data with R, data privacy and academic research in these fields. She is planning to start her Ph.D. studies in near future.