Closing talk: Feast - feature store for Machine Learning
Willem Pienaar, Lead of data science platform at GO-JEK
27 minutes23 November 2019
The shape of U
Nishant Sinha, Independent researcher and consultant at OffNote Labs
28 minutes23 November 2019
Why you need an enterprise grade data labelling pipeline to scale your ML/AI pipelines
Bikram Sengupta, Director of Research and Innovation at iMerit
40 minutes23 November 2019
ML application lifecycle: what is important at each stage
Srujana Merugu, Independent machine learning researcher
43 minutes23 November 2019
Document digitization: rethinking with Deep Learning
Nischal HP, VP of Engineering and data science at omni:us
40 minutes23 November 2019
Artificial Intelligence for automated investment
Mira Abboud, CTO and data scientist at Neotic.ai
33 minutes23 November 2019
How we applied sampling algorithms to extract meaning from data
Vinodh Kumar Ravindranath, CTO at Belong.co
26 minutes23 November 2019
Rigorous evaluation of NLP models for real-world deployment
Sandya Mannarswamy, Independent NLP researcher
36 minutes23 November 2019
What can software learn from robots and math
Naman Kumar, Robotics and AI Lead at TartanSense
43 minutes23 November 2019
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Anthill Inside is a forum for conversations about risk mitigation and governance in Artificial Intelligence and Deep Learning. AI developers, researchers, startup founders, ethicists, and AI enthusiasts are encouraged to:
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