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Speaker selection process The process for curating the conference schedule is as follows: The Fifth Elephant team reached out to individuals and companies, inviting them to speak at the conference. Companies and individuals who agreed to speak submitted their abstracts. expand

Speaker selection process

The process for curating the conference schedule is as follows:

  1. The Fifth Elephant team reached out to individuals and companies, inviting them to speak at the conference.
  2. Companies and individuals who agreed to speak submitted their abstracts.
  3. Slides were reviewed before the conference.
  4. Talks which did not fit the theme have been moved to The Fifth Elephant conference.
  5. Two talks and two panel discussions have been sponsored. These have been mentioned as sponsored in the conference schedule.

Nischal HP and Shakthi Kannan have curated the conference.

Zainab Bawa

Zainab Bawa

Kannan S Editorial Assistant

Nischal HP

Nischal HP Editor

MLOps 2022 conference report

Context This is a report of the MLOps 2022 conference, held on 11 November, at the Microsoft Reactor, Bangalore. more
  • 0 comments
  • Submitted
  • 30 Nov 2022
Venkata Pingali

Venkata Pingali Speaker

Do the Right Thing: Fast Development of ML applications using Sub-ML Feature Stores

Speaker Venkata Pingali, Co-Founder & CEO, Scribble Data more
  • 0 comments
  • Confirmed & scheduled
  • 27 Oct 2022
Sharmili Srinivasan

Sharmili Srinivasan Speaker

Saurav Raj Speaker

Back to the Future: Designing multi-model Machine learning systems using Inference Graphs

Speakers Saurav Raj (ML Engineer, PayPal) Sharmili Srinivasan (ML Engineer, PayPal) more
  • 0 comments
  • Confirmed & scheduled
  • 27 Oct 2022
Sai Sharan Tangeda

Sai Sharan Tangeda Speaker

Come and see ML at scale: Unified ML Platform at Udaan

Speakers Dr Mohit Kumar (VP & Head of Data Science, Data Platform and Product Analytics, Udaan) more
  • 0 comments
  • Confirmed & scheduled
  • 27 Oct 2022

Ravi Kumar Meduri Speaker

2022: An Operationalisation Odyssey of AI - From Labs to Production

Speaker Ravi Kumar Meduri (Executive Vice President - IP and Digital Solutions) more
  • 0 comments
  • Confirmed & scheduled
  • 31 Oct 2022

Kannan S

Building Computer Vision models using Azure AutoML

Speaker Vivek Dani (Data and Applied Scientist) Abstract more
  • 0 comments
  • Submitted
  • 04 Nov 2022
Madhusudhana Rao. Podila

Madhusudhana Rao. Podila Speaker

Data Mesh: War stories on MLOps and data governance

Speaker Madhu Podila (Data Strategist) Abstract The operation, process workflow and automation for ML models are challenges for any organisation. The transparency and visibility of these models across ecosystems are important to provide explanations on informed decisions. In order to conform to regulations and meet stakeholder expectations, it is also important to use the right operating models a… more
  • 0 comments
  • Submitted
  • 04 Nov 2022
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Scribble Data builds feature stores for data science teams that are serious about putting models (ML, or even sub-ML) into production. The ability to systematically transform data is the single biggest determinant of how well these models do. Scribble Data streamlines the feature engineering proces… more

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