Saturday 23 November 2019
Ballroom
Poster sessions and BOF track
08:30–09:15
Check-in and onsite registrations
09:15–09:25
Introduction to Anthill Inside 2019
Zainab Bawa, Editorial Chair for Anthill Inside
09:25–09:30
Introduction to Naman Kumar's talk on Robotics
Sumod Mohan, curator of Anthill Inside 2019
09:30–10:10
What can software learn from robots and math
Naman Kumar, Robotics and AI Lead at TartanSense
10:10–10:50
Rigorous evaluation of NLP models for real-world deployment
Sandya Mannarswamy, Independent NLP researcher
10:50–11:20
How we applied sampling algorithms to extract meaning from data
Vinodh Kumar Ravindranath, CTO at Belong.co
10:50–11:20
Poster session: Model interpretability, explainable AI and the Right to Information (RTI)
Divij Joshi, Technology policy fellow at the Mozilla Foundation
11:20–11:50
Morning beverage break
11:20–11:50
Morning beverage break
11:50–11:55
Introduction to Mira Abboud's talk on automated investments with Artificial Intelligence
Anand Venkatnarayan, curator of Anthill Inside 2019
11:55–12:35
Artificial Intelligence for automated investment
Mira Abboud, CTO and data scientist at Neotic.ai
12:35–13:15
Document digitization: rethinking with Deep Learning
Nischal HP, VP of Engineering and data science at omni:us
12:35–13:35
Birds of Feather (BOF) session: Myths and realities of data labeling for Deep Learning
Vijay Gabale, Co-founder and CTO of Infilect Technologies
13:15–14:05
Lunch break
13:35–14:05
Lunch break
14:05–14:35
Why smart-device based virtual assistants are incapable of assisting with gender based violence concerns in India.
Radhika Radhakrishnan, Programme officer at the Centre for Internet and Society (CIS)
14:05–15:05
Birds of a Feather (BOF) session: On Interpretability
Jacob Joseph, Namrata Hanspal, Nishant Sinha
14:35–15:15
ML application lifecycle: what is important at each stage
Srujana Merugu, Independent machine learning researcher
15:15–15:55
Why you need an enterprise grade data labelling pipeline to scale your ML/AI pipelines
Bikram Sengupta, Director of Research and Innovation at iMerit
15:15–15:45
Poster session: Open source tools and archive for tackling misinformation on chat apps in India
Keshav Joshi, Data Scientist at Tattle
15:55–16:20
Evening beverage break
16:20–16:50
The shape of U
Nishant Sinha, Independent researcher and consultant at OffNote Labs
16:20–16:50
Poster session: Accountable behavioural change detection (VEDAR) using ML
Srinivasa Rao Aravilli, Senior engineering manager at CISCO
16:50–17:30
Closing talk: Feast - feature store for Machine Learning
Willem Pienaar, Lead of data science platform at GO-JEK
16:50–17:20
Poster session: Tensorboard: almost a one-stop shop for ML development
Tushar Pawar, Machine Learning engineer at Infilect
Hybrid access (members only)
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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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