Annual conference

Annual conference

On AI, industrial applications of ML, and MLOps

Make a submission

Accepting submissions till 30 Jun 2023, 11:59 PM

Bangalore International Centre (BIC), Bengaluru

Tickets

Loading…

The Fifth Elephant 2023 edition #

There are three phases in the lifecycle of an application - research, application and aftermath of the application.

  1. Assess capabilities, determining the new frontiers for AI.
  2. Find a use for the application.
  3. Learn how to run it, monitor it and update it with time.

The three tracks at The Fifth Elephant 2023 annual conference will cover this lifecycle.

Editors #

The 2023 edition is curated by:

  1. Nischal HP, Vice President of Data Engineering and Data Science at Scoutbee. Nischal curated the MLOps conference which was held online between 23 and 27 July 2021.
  2. Sumod Mohan, Founder and CEO at AutoInfer. Sumod curated Anthill Inside 2019 edition, held in Bangalore on 23 November.

Tracks and themes #

  1. AI and research.
  2. Industrial applications of ML - covers implementation of AI in the industry, with more focus on the AI models, the issues in training, gathering data so, and so forth. ML is being used at scale in industries such as automotive, mechanical, manufacturing, agriculture, and such domains. This track focuses on the challenges in this space, as we see innovation coming out of these industries in the pursuit of using ML on a second-to-second basis.
  3. Economies of Data Science and MLOps - covers implementation of Machine Learning (ML) lifecycle at an organization and how it is helping the organization scale.

Speak at The Fifth Elephant 2023 #

If you are interested in speaking at the conference, submit your talk idea here. The editors will review your talk description and give feedback.
Guidelines for speaking, speaker honorarium policy, and travel grant policy details are published here.

Who should participate in MLOps conference? #

  1. Data/MLOps engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as automobile, agri-tech and mechanical industries.
  2. Data scientists who want a deeper understanding of model deployment/governance.
  3. Architects who are building ML workflows that scale.
  4. Tech founders who are building products that require AI or ML.
  5. Product managers, who want to learn about the process of building AI/ML products.
  6. Directors, VPs and senior tech leadership who are building AI/ML teams.

Subscribe to join #

The Fifth Elephant 2023 conference will be held in-person. Attendance is open to The Fifth Elephant-Hasgeek subscribers only. Purchase a subscription to attend the conference in-person. If you have questions about participation, post a comment here.

Sponsorship #

Sponsorship slots are open for:

  1. Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
  2. Companies seeking tech branding among AI and ML developers.
  3. Venture Capital (VC) firms and investors who want to scan the landscape of innovations and innovators in AI and who want to source leads for investment in the AI and ML space.
    If you are interested in sponsoring, email sales@hasgeek.com.

Contact information #

Join The Fifth Elephant Telegram group on https://t.me/fifthel or follow @fifthel on Twitter. For any inquiries, call The Fifth Elephant on +91-7676332020.

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Ayyanar Jeyakrishnan

@jayyanar

MLOps for Enterprise using AWS Sagemaker

Submitted May 17, 2023

My Previous Session MLOps for Enterprise on Sagemaker
https://github.com/aws-data-usergroup-bangalore/sagemaker-mlops

Reference Architecture of MLOps for Enterprise:
https://drive.google.com/file/d/1Z3UbZiVgs6RpTWO9uT2pas5wS18Q3QE8/view

Playlist of Introduction Session:
https://www.youtube.com/playlist?list=PLh_VNk4-EHTOofHChpNXmzccaQqB6k76C

Abstract:

MLOps refers to the practices and tools utilized to manage and operationalize machine learning models at Enterprise scale.

The solution focuses on leveraging the capabilities of AWS SageMaker, a fully managed service that simplifies the end-to-end machine learning workflow. It starts by providing an introduction to MLOps, highlighting the challenges faced by enterprises when deploying and managing machine learning models in production environments.

Understand about below AWS Sagemaker Services - Datawrangler, Autopilot, Feature Store, Model Governance, Model Monitoring, Clarify, Sagemaker Endpoint.

Comments

{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Make a submission

Accepting submissions till 30 Jun 2023, 11:59 PM

Bangalore International Centre (BIC), Bengaluru

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more