Anthill Inside 2019

A conference on AI and Deep Learning

Tickets

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##About the 2019 edition:

The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule

The conference has three tracks:

  1. Talks in the main conference hall track
  2. Poster sessions featuring novel ideas and projects in the poster session track
  3. Birds of Feather (BOF) sessions for practitioners who want to use the Anthill Inside forum to discuss:
  • Myths and realities of labelling datasets for Deep Learning.
  • Practical experience with using Knowledge Graphs for different use cases.
  • Interpretability and its application in different contexts; challenges with GDPR and intepreting datasets.
  • Pros and cons of using custom and open source tooling for AI/DL/ML.

#Who should attend Anthill Inside:

Anthill Inside is a platform for:

  1. Data scientists
  2. AI, DL and ML engineers
  3. Cloud providers
  4. Companies which make tooling for AI, ML and Deep Learning
  5. Companies working with NLP and Computer Vision who want to share their work and learnings with the community

For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com


#Sponsors:

Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.


Anthill Inside 2019 sponsors:


#Bronze Sponsor

iMerit Impetus

#Community Sponsor

GO-JEK iPropal
LightSpeed Semantics3
Google Tact.AI
Amex

Sessions

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Videos

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Closing talk: Feast - feature store for Machine Learning

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

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

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

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

Document digitization: rethinking with Deep Learning

Nischal HP, VP of Engineering and data science at omni:us

40 minutes23 November 2019

Venue

Taj M G Road, Bangalore

41/3, MG Road, Yellappa Garden,

Yellappa Chetty Layout, Sivanchetti Gardens

Bangalore - 560001

Karnataka, IN

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Hosted by

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: more