TMLS and MLOPS WORLD 2020 posted on LinkedIn

Did you know around 87% of machine learning projects do not survive to make it to production? There is a disconnect between machine learning being done in Jupyter notebooks on local machines and actually being served to end-users to provide some actual value. Join Hamza Tahir, CTO at maiot who will aim to break down the key aspects of what sets machine learning apart from traditional software engineering, and how treating data as a first-class citizen is a fundamental shift in our understanding of complex production ML systems.