Dr. Tania Allard
Tania is a Sr. Developer Advocate at Microsoft with vast experience in academic research and industrial environments. Her main areas of expertise are within data-intensive applications, scientific computing, and machine learning. She has conducted extensive work on the improvement of processes, reproducibility and transparency in research, data science and artificial intelligence.
She is passionate about mentoring, open-source, and its community and is involved in a number of initiatives aimed to build more diverse and inclusive communities. She is also a contributor, maintainer, and developer of a number of open-source projects and the Founder of Pyladies NorthWest.
she/her/hers
What is your Twitter handle? –ixek
Session
Have you ever developed a novel Machine learning model or application just to wait for this to be put in production - sometimes days, weeks or even months? This talk will focus on MLOps and how you can adopt these practises no matter the size of your team to enhance your idea to production workflows.
Are you working on Machine Learning or Data Science? Have you ever thought: "I am sure this could be automated. Or at least I could be optimising my workflows to make them more efficient but I do not want to do DevOps? If so this talk is for you, we will cover some MLOps tools and approaches to help you make better use of your resources while automating your Data Science workflows and their robustness.