Nov 2022
7 Mon
8 Tue
9 Wed
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11 Fri 09:30 AM – 04:00 PM IST
12 Sat
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MLOps 2022 conference will bring together Machine Learning (ML), data engineering and SRE and AI practitioners to better understand the art of implementing MLOps in organizations.
MLOps is based on similar principles of DevOps, which talks about Continuous Delivery (CD) of ML models in production. We have seen significant traction for MLOps in recent years. Companies have been built around organizing and optimizing MLOps. We will focus on the tools, frameworks, data governance, decision-making process and approach based on real-world experience that have led to success and war stories.
The topics that we will focus in this conference include:
In-person conference: MLOps 2022 will be held on Friday, 11 November, at Microsoft Reactor, Lavelle Road, Bangalore. This is an in-person conference. Register to participate for the conference.
Code of Conduct: Hasgeek’s Code of Conduct applies to the MLOps 2022 conference - participants, speakers and sponsors.
COVID protocols and masking policy: In keeping with COVID protocols, the following is applicable to all participants:
Contact information: For queries about the conference, contact Hasgeek at support@hasgeek.com or call (91)7676332020.
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The process for curating the conference schedule is as follows:
Nischal HP and Shakthi Kannan have curated the conference.
MLOps 2022 conference reportContext This is a report of the MLOps 2022 conference, held on 11 November, at the Microsoft Reactor, Bangalore. more
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Do the Right Thing: Fast Development of ML applications using Sub-ML Feature StoresSpeaker Venkata Pingali, Co-Founder & CEO, Scribble Data more
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SR
Saurav Raj Speaker Back to the Future: Designing multi-model Machine learning systems using Inference GraphsSpeakers Saurav Raj (ML Engineer, PayPal) Sharmili Srinivasan (ML Engineer, PayPal) more
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Come and see ML at scale: Unified ML Platform at UdaanSpeakers Dr Mohit Kumar (VP & Head of Data Science, Data Platform and Product Analytics, Udaan) more
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RM
Ravi Kumar Meduri Speaker 2022: An Operationalisation Odyssey of AI - From Labs to ProductionSpeaker Ravi Kumar Meduri (Executive Vice President - IP and Digital Solutions) more
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KS
Kannan S Building Computer Vision models using Azure AutoMLSpeaker Vivek Dani (Data and Applied Scientist) Abstract more
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Data Mesh: War stories on MLOps and data governanceSpeaker 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
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Hosted by
Supported by
Sponsor
Promoted
Community Sponsor
Venue Sponsor