The Fifth Elephant For members

The Fifth Elephant 2023 Monsoon

On AI, industrial applications of ML, and MLOps

Make a submission

Accepting submissions till 04 Jul 2023, 12:30 PM

Bangalore International Centre (BIC), Bengaluru

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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:

  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 - 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.
  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. 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.

  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 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:

  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.

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.

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

Somenath Sit

@somenath24

AlgoVault - Region and platform-Agnostic Machine Learning Framework

Submitted Jun 30, 2023

About me

I am working in ABInBev as Senior Manager – Data Science with experience in Statistical/Machine Learning and Predictive Modelling and analytics consulting. With a passion for machine learning and data-driven solutions, I have been actively involved in the development and implementation of advanced analytics frameworks. Currently working as Product Owner and DS lead for AlgoVault.
I am master’s in computer science and have 12+ years of experience in conceptualization and delivery of actionable models across Finance, Media, Retail, Wholesale and Logistics industries.

AlgoVault - Region and platform-Agnostic Machine Learning Framework

Objective

In recent years, the widespread adoption of machine learning has led to significant advancements in various domains. However, developing machine learning solutions that are both scalable across regions and modular has remained a significant challenge. Here, we present a machine learning framework called AlgoVault that not only addresses the challenges of scalability and modularity but also ensures platform-agnostic compatibility. Our framework enables users to effortlessly switch between platforms such as ADB (Azure Databricks), AML (Azure Machine Learning), or any other platform, while preserving the integrity and functionality of their machine learning models.

Details

With a focus on flexibility, AlgoVault supports back testing, hyperparameter optimization, and automated machine learning (AutoML) features, including feature selection. By integrating these capabilities, we empower users to streamline their model development process, enhance predictive accuracy, and drive decision-making with confidence.
Furthermore, AlgoVault framework incorporates distributed computing capabilities and optimized algorithms, ensuring efficient handling of large datasets and seamless scalability across platforms. This scalability allows users to seamlessly transition their models from one platform to another, leveraging the strengths of each platform and adapting to changing requirements without the need for extensive reconfiguration.

Outline/Discussion points

Architecture and Modularity

  1. Description of the modular architecture designed for the framework
  2. Importance of modularity in enabling platform-agnostic compatibility

Scalability Across Regions and Platforms

  1. Overview of the optimized algorithms implemented to ensure efficient scalability
  2. Discussion of how the framework seamlessly adapts to different platforms (e.g., ADB, AML)

Backtesting, Hyperparameter Optimization, and AutoML

  1. Integration of Backtesting and hyperparameter optimization capabilities for fine-tuning models and to assess and compare model performance
  2. Explanation of automated feature selection methods to enhance predictive accuracy

Value Added

The framework’s versatility and adaptability empower users to quickly iterate, test, and refine their models, ultimately accelerating the development process.
Different regions inside organization can quickly backtest, tune hyperparameter and deploy their own models and compare results with existing models as well. The framework serves as a valuable tool for data scientists, enabling them to unlock the full potential of machine learning in region-agnostic applications and deliver impactful results.

Conclusion

In summary, AlgoVault offers a scalable, modular, and reusable solution for region or platform-agnostic applications. By seamlessly accommodating model customization, backtesting, hyperparameter optimization, and AutoML capabilities, it empowers data scientists to build and deploy robust and accurate machine learning models with ease. We believe that AlgoVault will significantly benefit the machine learning community internally, enabling data scienctists to efficiently address the challenges of region-specific modeling and deployment.

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Make a submission

Accepting submissions till 04 Jul 2023, 12:30 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

Supported by

India’s Top Advanced Cloud GPU Provider. H100, A100, L4, A40,& A30 Sign up here: https://bit.ly/vc_desk more