A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary spring speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Serverless Data Ops: from Data to Documentation
With Jacopo Tagliabue from Coveo
It is indeed a wonderful time to build machine learning systems, as the growing ecosystems of tools and shared best practices make even small teams incredibly productive at a huge scale. In this talk, we present our philosophy for modern, no-nonsense data pipelines, highlighting the advantages of a (almost) pure serverless approach, and showing how the entire toolchain works - from raw data to model serving - on a real-world dataset. Finally, we argue that the crucial component for analyzing data pipelines is not the model per se, but the surrounding DAG, and present our proposal for producing automated “DAG cards” from Metaflow classes.
Jacopo Tagliabue recently became Lead AI Scientist at Coveo after the acquisition of his own startup, Tooso, in 2019. In previous lives, he managed to get a Ph.D., do scienc-y things for a pro basketball team, simulate a pre-Columbian civilization, give an academic talk on video games and more! His research and industry work have been featured several times in international conferences and the general press.
Sri Krishnamurthy, CFA is the Founder and CEO of QuantUniversity. Sri is the creator of QuSandbox, a platform for experimenting analytical and machine learning solutions for enterprises prior to adoption.
Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA from Babson College.
The QuantUniversity Spring School 2021
Join QuantUniversity for a complimentary Spring speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
QuantUniversity is a quantitative analytics advisory focusing on the intersection of Data science, Machine learning and Quantitative Finance. We take a practitioner’s approach to working with pragmatic applications of frontier topics to real-world financial and energy problems. QuantUniversity advises various companies in Quant Finance application development, validation and in algorithmic auditing. We also run data science and machine learning workshops in the United States and online in its Explore-Experience-Excel series through QuAcademy. QuantUniversity is pioneering the next generation platform for Algorithmic auditing that supports anonymization, model escrow and tracking, synthetic data generation and experimentation through the QuSandbox.