-
Pinned update
Guidelines for speakers updated Guidelines for speaking at The Fifth Elephant are updated here more
The Fifth Elephant 2023 edition #
There are three phases in the lifecycle of an application - research, application and aftermath of the application.
- Assess capabilities, determining the new frontiers for AI.
- Find a use for the application.
- 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:
- 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.
- Sumod Mohan, Founder and CEO at AutoInfer. Sumod curated Anthill Inside 2019 edition, held in Bangalore on 23 November.
Tracks and themes #
- AI and research.
- 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.
- 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? #
- 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.
- Data scientists who want a deeper understanding of model deployment/governance.
- Architects who are building ML workflows that scale.
- Tech founders who are building products that require AI or ML.
- Product managers, who want to learn about the process of building AI/ML products.
- 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:
- Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
- Companies seeking tech branding among AI and ML developers.
- 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
AS
Arvind Saraf
@arvinds
Title: Building real-time video-based analytics product
Submitted May 11, 2023
Abstract: #
Companies are now building products using real-time computer vision and machine learning of video from various systems and processes. This requires a full stack system consisting of video ingestion and storage, live inferencing, post-processing of data generated, and use of the data in the business context or customer’s domain language. We demonstrate a preferred architecture and stack to build such a system, the challenges & the design choices and shall have elements useful to anyone building video analytics-based systems.
Description #
We’ll talk about some possible architectures for building a real-time video analytics inferencing system. We’ll cover:
- Problem, use cases - ie object or action detection & recognition. What makes this problem different & more challenging.
- Various high level industry approaches to them - right from 3D Conv, 2 stream spatio-temporal approaches, proposal generation to recent transformer based approaches.
- Video infra - preferred protocol choices for video ingestion, storage formats, libraries to process streaming video, streaming architectures to infer on them,
- Translating the model output into the customer context product, modeling customer domain & common frameworks for them, and converting the data into insights.
- We’ll also touch on some of the scalability and implementation challenges of this stack, identifying bottlenecks, prioritizing them and designing options to solve for scalability.
The talk leverages some of the speaker’s prior experience building scalable systems at Google, building B2B applications, and Drishti.
Comments
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
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}