About The Fifth Elephant Conference; previous editions

  • India’s most prestigious big data, ML and data science conference since 2012.
  • A platform for practitioners to share real-life case studies of working with data, ML systems and data science - across advertising, e-commerce, OEMs, automobile industry, and platforms.
  • Relevant themes and topics each year, which helps practitioners to gain practical insights from The Fifth Elephant Conference.

The Fifth Elephant 2023 editions

The Fifth Elephant Monsoon
The Fifth Elephant Winter

Themes for 2024 edition

  1. Data engineering and data science - managing, running and optimizing data pipelines; feature engineering; open source alternatives to vendor lock-in; recommendation systems; fraud processing.
  2. Best practices for LLM training, inference and deployment; implementing security while incorporating LLMs and SLMS in organizations; working with Open Source LLM models; security, bias and risk mitigation.
  3. GenAI - Generative AI based use-cases; GenAI and hardware.

The Conference will also host workshops, tutorials, round tables and Birds of Feather (BOF) sessions for interactive participation and networking.

Speaking at The Fifth Elephant 2024

The conference follows the peer process of reviewing submissions, and followed by rehearsals with selected speakers. If you want to speak at the conference, submit your abstract and slides at https://hasgeek.com/fifthelephant/2024/sub.

Attendance

The 2024 edition will be held in-person. Attendance is open to The Fifth Elephant members only. Pick a membership to attend the in-person conference.

Who will benefit from participating in the conference and The Fifth Elephant community

  1. AI/ML/Data Science/Ops engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as health care, e-commerce, automobile, agri-tech and industrial verticals
  2. Data scientists who want a deeper understanding of model deployment/governance.
  3. Architects who are building ML workflows that scale.
  4. Tech founders and CTOs who are building products and platforms that leverage data, ML and LLMs.
  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. Employer branding and visibility
  2. Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
  3. Companies who want to do tech branding among AI and ML developers.
  4. 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 The Fifth Elephant, contact sales@hasgeek.com.

Testimonials

“The Fifth Elephant has been a community of passionate and talented people in tech and is for me one of the most valuable sources of practical insights into ML and AI and related aspects” — said Manu Hegde, a member of The Fifth Elephant.

“I have been a regular attendee at Fifth Elephant events since 2016 and I always take away a lot of applied wisdom from the speakers and other practitioners I meet. Often this is about common problem but many times it’s also about topics that I was not even aware of and it definitely broadens my view. The talks are on-point and derive from real world experience with very little to no marketing fluff. The Fifth Elephant community is welcoming of feedback and very supportive to all members.” - said Sidharth Ramachandran, a member of The Fifth Elephant.

Contact information

Join The Fifth Elephant Telegram group on https://t.me/fifthel or WhatsApp group. Follow @fifthel on Twitter.
For inquiries, call The Fifth Elephant on +91-7676332020 or leave a comment here.

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All about data science and machine learning

Supported by

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Abhijeet Kumar

@abhijeet3922

Unlock Data with NL2SQL: Building Low-code Data Assistant for Business using Code LLMs

Submitted May 15, 2024

Generative AI (LLMs) for codes had become very popular and powerful tool for developers to leverage with rise of enterprise solution like GitHub Copilot, AWS Code Whisperers, Google Duet etc. There are numerous open source code assist models for generating codes for hundreds of programming languages including python, java, SQL etc. These models can take english comments or instructions to write code for developers.

Apart for improving productivity of developers, these models can also be used to create impactful NL-2-SQL python-based solution in data space.

  • Allows business users (non-tech) to use natural language to answer day to day queries.
  • Speed up data analysis for insights & report generations.

Problem: Why does it matter ?

  • Many business users and financial analyst perform ad hoc analysis to answer business queries on the fly. They often struggle to produce data from data lakes and required systems which leads to higher effort from analyst teams to generate desired output.

  • Data governance teams in enterprise validates data migration process with many test cases to ensure data quality. Develop test use-cases takes extensive effort in writing data queries to validate.

CEO of Snowflake Inc. (cloud-based data company), Sridhar Ramaswamy in press briefing said, “Our dream here is, within a year, to have an API that our customers can use so that business users can directly talk to data,”. Natural language querying can enables various stakeholders — including executives, employees, customers, prospects, and partners — to pose questions about data in natural language and receive relevant responses.

Intended Audience

This talk is intended for data enginners, data scientists or researchers who are closer to enterprise data. This might interests business analysts or business consumers who require data querying and analysis on day to day basis.

The topic might interests data leaders as an initiative to democratize data for enterprises.

The talk will align to any professional working on Gen AI usecase with python.

Benefit to Participants

Participants will get in-depth design and details on solutioning the capability to make data closer to business.
This talk discusses some of the practical challenges and ways to overcome them.

Scope

  1. Introduction to problem, use-case and application (NL-2-SQL).
  2. State of Code LLMs
  3. Generalist (prompt-based) vs Specialist Models (fine-tuned) models
  4. Building based data assist capability: Implementation Diagram
  5. Practical challenges and Strategies to overcome.
  6. Demo of the Tool

KeyTakeAways

  1. A potential idea to democratize data to Business or Enterprise.
  2. Current state of open-source code LLMs and its benchmarking on tasks.
  3. Implementation details of No-Code/Low-Code solution for data assistants.

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Make a submission

Accepting submissions till 03 Jun 2024, 11:59 PM

Bangalore International Centre, Bangalore

Hosted by

All about data science and machine learning

Supported by

Gold Sponsor

Atlassian unleashes the potential of every team. Our agile & DevOps, IT service management and work management software helps teams organize, discuss, and compl