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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Submitted Nov 4, 2022
Madhu Podila (Data Strategist)
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 and processes. In this talk, we will learn about our journey in building ML use cases and the typical challenges faced in ML productionisation. The different processes that can be automated for consistency will also be explored.
Hosted by
Supported by
Sponsor
Promoted
Community Sponsor
Venue Sponsor
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