The Fifth Elephant 2023 Monsoon Edition event recap is now up here . The event was attended by 192 participants, of which one-fourth were women. The Fifth Elephant videos are available to watch here
Event highlights:
Editors
The 2023 Monsoon 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 - covers research, findings, and solutions for challenges on building models in various areas such as fraud detection, forecasting, and analytics. This track delves into the latest methodologies for handling challenges such as large-scale data processing, distributed computing, and optimizing model performance.
- 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.
- AI and Product - covers strategies for building AI products to scale and mitigating challenges. This track provides insights on incorporating AI tools and forecasting techniques to improve model training, developing a working model architecture, and using data in the business context.
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 2023 Monsoon edition of The Fifth Elephant will cover this lifecycle.
Members-only conference
The Fifth Elephant 2023 Monsoon edition will be held in-person. Attendance is open to The Fifth Elephant members only. Pick a membership to attend the in-person conference. If you have questions about participation, post a comment here.
Who will benefit from participating in The Fifth Elephant community:
- 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.
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.
Contact information
Join the @fifthel Telegram group or follow @fifthel on Twitter. For any inquiries, call Hasgeek at +91 7676 33 2020.
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
Supported by
India’s Top Advanced Cloud GPU Provider. H100, A100, L4, A40,& A30 Sign up here: https://bit.ly/vc_desk more
VV
Vikram Vij
@vikramvij
Forecasting @ Samsung Ads
Submitted May 12, 2023
Samsung Ads is an intuitive audience platform that delivers meaningful experiences reaching the right audience across screens, formats and devices. With more than 900M Mobiles and 150M Smart TVs, and the largest first party data set powered by ACR, we help marketers reach targets and enhance experiences that span digital landscapes. The business has grown 10x since 2015. Our foundation is based on Samsung’s strength as a manufacturer in two key connected consumer device spaces: Mobiles & Smart TVs ...from which we derive two critical components that power our Samsung Ads businesses today: Data and Ad Impressions. We combine these assets to create powerful Ad offerings that drive reach, performance, and return on Ad spend for the world’s leading marketers.
Samsung Ads needs to sell to advertisers in advance to show advertisements. The Ad opportunities depend on user behaviour – users turning the TV on and going to specific screens. Having an automated way to forecast availability opportunities is critical to:
• Ensure we do not over-commit to advertisers (monetary implications + hurts reputation)
• Ensure we do not under-commit (opportunities are wasted, potential revenue wasted)
• Ensure users are able to self service the forecast process (tap into a larger market segment that wants self service
Our goal is to predict how many impression events will be received for a specific campaign over the duration of the campaign. The campaigns are setup to target opportunities based on various criteria including Location, Time of day, TV Model, Type of ad opportunity and User identifiers.
Forecasting is a complex problem that typically involves a single time series, and to predict for one step ahead. We have many different time series patterns, and multi-step forecasts with a long forecast horizon (over 90 days). This requires the use of sequence to sequence models and modern techniques such as transformer architectures. We are building this solution using the state of the art Temporal Fusion Transformer models. We will go over the different type of Ads such as Roadblocks, Audience Take overs, Rotationals and Video Ads and the factors affecting forecasting.
We will go over the key challenges faced in coming up with a working model architecture, such as erroneous ground truth data, data availability & quality issues and data understanding gaps, and our approaches to deal with these challenges. We will go over the use of data sketches and an OLAP DB like druid to get past data and use that and other features as inputs to a TFT model. For modeling external competition, we will explain how we estimate price dependence of win rates using survival models. We will also introduce the evaluation framework built to evaluate the forecasting accuracy at three different phases - during development, pre-release and post release. Earlier, the analysis was done manually which had many challenges like lack of consistency, delays, lack of historical data etc. which were solved with the evaluation framework.
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
Supported by
India’s Top Advanced Cloud GPU Provider. H100, A100, L4, A40,& A30 Sign up here: https://bit.ly/vc_desk more
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