Data-centric AI starts here

Unlock the Future of Enterprise AI
Oct 16-17, 2024 | Lavan Midtown, NYC
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SnorkelCon workshops are almost sold out; reserve your spot now!
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Opening Keynote

Bridging the gap between LLMs and enterprise AI

with Alex Ratner
Co-founder and CEO, Snorkel

At the crux of AI deployment is managing enterprise data. Getting value out of AI hinges on enterprise specific data. Join me and other AI leaders as we discuss how to build and deploy specialized LLMs in the enterprise.

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Featured Speaker

Citi: Driving Better Customer Outcomes and Customer-Centric Growth with Data-Centric AI

with Murli Buluswar

Head of Analytics, US Personal Bank, Citi

Thank You to Our Sponsors
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Join the world’s largest free virtual conference on data-centric AI for two days of sessions and networking. Learn from industry leaders, AI visionaries, and researchers about the latest trends such as LLMs, GenAI, prompt engineering, synthetic data, and more. Discover best practices to build enterprise AI applications.

Featured Speakers

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James Lin

Head of AI/ML Innovation

Experian: The Importance of LLM Evaluation for Domain-Specific Use Cases
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Femi Agboola

Managing Director, Citi Productivity

How Citi is Succeeding with AI in Banking
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Vinny DeGenova

Associate Director of Machine Learning

How Wayfair is Transforming Customer Experiences with Data-Centric AI

Industry-leading speakers

Experts on data-centric Al, innovators, and researchers will share their insights and expertise during two full days of live sessions. Whether you're a data scientist, research, or just love AI/ML, you'll be in good company
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Featured speakers

Industry leaders, AI innovators, and researchers share their insights and expertise during two full days of live sessions.

James Lin

Head of AI/ML Innovation
Experian

Femi Agboola

Managing Director, Citi Productivity
Citi

Vinny DeGenova

Associate Director of Machine Learning
Wayfair


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Special Guest

Conference Party

with Alexander Boyce 
Magician
The drinks will flow. The food will delight. The magic tricks will astound. Party with sleight-of-hand virtuoso Alexander Boyce, who’ll ensure your night is full of laughter, wonder, and inspiration.

Day 1

Oct 16

Hands-On Training Day

Attendees will learn the fundamentals of AI data development and how to apply them with Snorkel Flow – for both predictive and GenAI use cases.

The workshops will include exercises which walk attendees through the process of curating training data and using it to fine-tune and evaluate an LLM for specialized tasks in the enterprise.

  • The morning workshop will include an exercise on intent classification for chatbots.
  • The afternoon workshop will include an exercise on information extraction from PDF documents. SOLD OUT!

What to expect

  • Learn about the principles of AI data development
  • Get hands-on with the Snorkel Flow platform
  • Curate training data and fine-tune an LLM
  • Build a model to classify customer requests
  • Build a model to extract information from financial documents
Location:

Ink 48 Hotel, 653 11th Avenue,
New York, NY 10036


Day 2

Oct 17

Conference Day

Location:

Lavan 641 Midtown,
New York, NY 10036


8:00 AM

Registration and Breakfast

9:00 AM

Opening Keynote: Bridging the Gap Between LLMs and Enterprise AI

Alex Ratner

Co-founder and CEO
Snorkel AI

At the crux of AI deployment is managing enterprise data. Getting value out of AI hinges on enterprise specific data. Join me and other AI leaders as we discuss how to build and deploy specialized LLMs in the enterprise.

9:45 AM

Research Spotlight

Fred Sala

Professor of CS
University of Wisconsin
10:15 AM

Coffee Break

10:30 AM
Technology track

Graduating from Data Labeling to AI Data Development

Chris Glaze

Principal Research Scientist
Snorkel AI

Angela Fox

Staff Product Designer
Snorkel AI

At the core of Snorkel’s approach and platform is the concept of programmatic data development, which we have repeatedly proven to accelerate training of predictive models by leveraging SME knowledge to produce labels efficiently. At Snorkel Research we have been extending this approach to Generative AI, where the output is not just labels but long form and complex. Our strategy has been to develop methods and tools to keep SMEs in the loop of training and evaluation with scalable processes.

In this presentation, Chris Glaze, Principal Research Scientist at Snorkel AI will give a brief history of how Snorkel evolved from data labeling to data development for Generative AI, and share stories on how Snorkel’s applied this approach to Fortune 500 use cases. Angela Fox, Staff Product Designer at Snorkel AI, will demonstrate how users can leverage Snorkel Flow’s unique programmatic labeling features to solve both predictive and generative business challenges.

10:30 AM
Business track

Experian: The Importance of LLM Evaluation for Domain-Specific Use Cases

James Lin

Head of AI/ML Innovation
Experian

James Lin will discuss the importance of LLM evaluation along with common challenges and strategies to overcome them.

11:30 AM
Technology track

Unlocking Hidden Insights: Snorkel’s Solution for Complex and High-Value PDF Documents

Jennifer Lei

Senior Product Manager
Snorkel AI

PDF documents represent a vast, untapped source of enterprise data, posing unique challenges due to their diverse formats and structures. From messy, massive files to varying types of content such as text, multi-columns, and tables, extracting valuable insights from these documents requires innovative solutions.

In this session, we will explore how to unlock the full value of your PDF documents, from simple classification to the most complex, high-value extraction use cases, all using a single Snorkel Flow platform. By leveraging OCR and parsing, using a collaborative platform for domain experts and data scientists, and utilizing leading LLMs or models of your choice, you can easily overcome format variations, ensure accurate information extraction, and efficiently build custom PDF use cases.

Join us to discover how Snorkel AI’s integrated platform can help you navigate the complexities of PDF document processing and fully leverage the potential of your enterprise data.

11:30 AM
Business track

How Citi is Succeeding with AI in Banking

Aarti Bagul

Head of Field Engineering
Snorkel AI

Femi Agboola

Managing Director, Citi Productivity
Citi

Aarti Bagul will sit down with Femi Agboola to discuss how Citi is approaching the adoption of AI within banking, early challenges and obstacles, lessons learned and how to build an AI strategy which leads to proper expectations, successful deployments and the delivery of real value.

12:30 PM

Lunch

1:30 PM
Technology track

Evaluating LLM Systems

Rebekah Westerlind

Software Engineer
Snorkel AI

Venkatesh Rao

Staff Product Manager
Snorkel AI

LLM evaluation is critical for generative AI in the enterprise, but measuring how well an LLM answers questions or performs tasks is difficult. Thus, LLM evaluations must go beyond standard measures of “correctness” to include a more nuanced and granular view of quality.

In practice, enterprise LLM evaluations (e.g., OSS benchmarks) often come up short because they’re slow, expensive, subjective, and incomplete. They leave AI initiatives blocked because there is no clear path to production quality.

In this session, Vincent Sunn Chen, Founding Engineer at Snorkel AI, and Rebekah Westerlind, Software Engineer at Snorkel AI, will discuss the importance of LLM evaluation, highlight common challenges and approaches, and explain the core concepts behind Snorkel AI's approach to data-centric LLM evaluation.

Join us to learn more about:

  • Understanding the nuances of LLM evaluation
  • Evaluating LLM response performance at scale
  • Identifying where additional LLM fine-tuning is needed
1:30 PM
Business track

How Wayfair is Transforming Customer Experiences with Data-Centric AI

Vinny DeGenova

Associate Director of Machine Learning
Wayfair

Learn how Wayfair is harnessing the power of machine learning and data to make it easier for customers to find the exact home products they’re looking for with Snorkel AI.

You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs. This delivers higher-quality content for customers and the ability to quickly adapt as customer searches evolve. Bottom line - they were able to increase their add-to-cart rates, reduce their cart abandonment rates, and increase their average order size and customer lifetime value.

2:30 PM
Technology track

Enhancing RAG Pipelines for Enterprise-Specific Tasks: Strategies for Accuracy and Reliability

Bryan Wood

Machine Learning Solutions Engineer
Snorkel AI

In the realm of LLM-powered AI applications, Retrieval-Augmented Generation (RAG) is a pivotal component for enterprise use cases. However, to ensure responses are consistently accurate, helpful, and compliant, RAG pipelines must undergo meticulous optimization.
 
Critical to this process is the incorporation of only the most relevant information as context. This can be achieved through techniques such as semantic document chunking, fine-tuned embeddings, reranking models, and efficient context-window utilization.
 
In this presentation, we will:

  1. Introduce fundamental RAG concepts and outline a standard pipeline.
  2. Detail optimization strategies for each stage of a sophisticated RAG pipeline to ensure the LLM receives proper context.
  3. Demonstrate how to leverage Snorkel Flow to optimize RAG pipelines.

By attending, you will gain insights on how to:

  • Enhance LLM responses by minimizing retrieval errors.
  • Fine-tune various stages of the RAG pipeline.
  • Expedite the deployment of production-grade RAG applications.

Join us to elevate your RAG systems and drive superior AI outcomes for your enterprise.

2:30 PM
Business track

AI From the Trenches: Lessons Learned from Practitioners on the Front Lines

Alex Shang

Machine Learning
Snorkel AI

André Balleyguier

Head of ML Field Engineering (EMEA)
Snorkel AI

Elena Boiarskaia

Head of Applied Machine Learning
Snorkel AI

Gabe Smith

Senior Machine Learning Success Manager
Snorkel AI

A moderated panel discussion featuring Snorkel machine learning engineers who’ve collaborated with some of the largest enterprises in the world to successfully build and deploy production AI/ML models.

The discussion will focus on the most common challenges faced by AI/ML engineers and data scientists, from expectation setting and use case prioritization to technical decisions and challenges. You’ll hear first hand about the lessons learned and best practices developed by Snorkel ML engineers, as well as recommendations for getting started, moving past PoCs and successfully delivering on the promise of AI into the enterprise.

3:30 PM
Technology track

Fine-Tuning and Aligning LLMs with Enterprise Data

Marty Moesta

Lead Product Manager, Generative AI
Snorkel AI

Amit Kushwaha

Director of AI Engineering
SambaNova Systems

LLMs often require fine-tuning and alignment on domain-specific knowledge before they can accurately, and reliably, perform specialized tasks within the enterprise.

The key to transforming foundation models such as Meta's Llama 3 into specialized LLMs is high-quality training data which can be applied via fine-tuning and alignment.

In this session, we'll provide an overview of methods such as SFT and DPO, show how to curate high-quality instruction and preference data 10-100x faster (and at scale) and demonstrate how to fine-tune, align and evaluate an LLM.

Join us, and learn more about:

  • Curating high-quality training data 10-100x faster
  • Emerging LLM fine-tuning and alignment methods 
  • Evaluating LLM accuracy for production deployment

3:30 PM
Business track

Delivering Business Value with Data-Centric AI in Financial Services

Peter Williams

Head of Partner Technology, Global Financial Services
Amazon Web Services (AWS)

Bryan Wood

Machine Learning Solutions Engineer
Snorkel AI
4:30 PM

Closing Keynote: Future of Snorkel

Ronaldo Ama

Chief Development Officer
Snorkel AI

Ajay Singh

Chief Product Officer
Snorkel AI
5:00 PM

Fireside Chat: AI Success in the Enterprise

Alex Ratner

Co-founder and CEO
Snorkel AI

Murli Buluswar

Head of Analytics, US Personal Bank
Citi
5:30 PM

Mix and Mingle

6:00 PM

Conference Party with Magician, Alexander Boyce

Alexander Boyce

The drinks will flow. The food will delight. The magic tricks will astound. Party with sleight-of-hand virtuoso Alexander Boyce, who’ll ensure your night is full of laughter, wonder, and inspiration.

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Ink 48 Hotel

Still need a place to stay?

Ink48 is the official SnorkelCon hotel.
The workshops (Oct. 16) will be held at Ink48, and it's in walking distance to the conference at the Lavan Midtown (Oct. 17).

WE’RE
SOLD OUT!

Discover new ideas and make connections with us in the future during our upcoming events.