Webinars, conferences, meetups, and more.
Making Data Science Work
Scribble has hosted a popular meetup series in Data science.
We have featured a number of interesting guests:
(a) Dmitry Petrov and Ivan Schlekein (SFO) of the hugely popular open source data versioning project DVC
(b) Paul Meinshausen and Bargava Subramanian (SGP/BLR) who are experts in Experimentation in Data Science.
(c) Joshua Rubin (from fiddler.ai) and Yiannis Kanellopoulos (SFO/ATH) on Operationalizing Responsible ML
MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
DevOps for Machine Learning Projects
Experimentation in Data Science
Operationalizing responsible Machine Learning
We speak frequently at data conferences around trust, data preparation, automation, and productionization
(a) Fifth Elephant 2019 on Production Feature Engineering
(b) Open Data Science Conference 2019 on Accelerating Production ML
(c) Mid-Scale Production Feature Engineering (A UK MLOps conference)
Accelerating ML using Production Feature Engineering Platform by Venkata Pingali #ODSC_India
Anatomy of a production ML feature engineering platform - Venkata Pingali
Webinar & Coffee Sessions
We get invited to public and private webinar to speak on our work.
(a) On Privacy Law Compliant Data Preparation in Machine Learning by ODSC Global (June 2020)
(b) On Production Feature Engineering with MLOps community (April 2020)
(c) Coffee session with Feature Store firms with MLOps community