ISSIP Cognitive Systems Institute Group Speaker Series : January 22

Alejandro Sauceda

“The State of Production Machine Learning in 2020“

Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he leads the development of industry standards on machine learning bias, adversarial attacks and differential privacy. Alejandro is also the Director of Machine Learning Engineering at Seldon Technologies, where he leads large scale projects implementing open source and enterprise infrastructure for Machine Learning Orchestration and Explainability. With over 10 years of software development experience, Alejandro has held technical leadership positions across hyper-growth scale-ups and has delivered multi-national projects with top tier investment banks, magic circle law-firms and global insurance companies. He has a strong track record building cross-functional departments of software engineers from scratch, and leading the delivery of large-scale machine learning systems across the financial, insurance, legal, transport, manufacturing and construction sectors (in Europe, US and Latin America).

This talk will provide an overview of the key challenges and trends in the productization of machine learning systems in 2020, including concepts such as reproducibility, explainability, monitoring, orchestration, etc. The talk will also provide a high level overview of several key open source tools and frameworks available to tackle these issues, together with high level frameworks that have been appearing to standardiseand mitigate risk across production machine learning usecases in critical and high availability environments.

Zoom International Numbers: https://zoom.us/zoomconference

Check the website in case the date or time changes: http://cognitive-science.info/community/weekly-update/  & where you can find slides & recordings of prior calls)

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