Announcing the ODSC East 2024 Complete Schedule

6 min readMar 19, 2024

ODSC East 2024 is just weeks away, and we couldn’t be more excited to be able to share our Schedule with you! You can find the schedule here on our website, but be sure to read on for a breakdown of what you can expect from each day. You will also find a complete list of confirmed sessions organized by type.

You can also find a list of all of the extra events here, including networking events, book signings, and more.

Day 0: Monday, April 22nd

Bootcamp, VIP

Day 0 of ODSC East 2024 will be virtual-only and will feature hands-on sessions in data science, essentials, and fundamentals for our AI Mini-Bootcamp and VIP pass holders.

Day 1: Tuesday, April 23rd

Bootcamp, Platinum, Gold, VIP, 1-Day Business Pass, 3-Day Business Pass, Virtual Platinum, Virtual Premium

The first official day of ODSC East 2024 will be chock-full of hands-on training sessions and workshops from some of the leading experts in LLMs, Generative AI, Machine Learning, NLP, MLOps, and more. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels.

Day 1 will also feature 2 co-located summits. At the Ai X Generative AI Summit, you will come together with industry leaders and pioneers at the forefront of AI applications and innovation from across the country for panels and talks. You’ll explore the challenges and opportunities created by rapidly advancing fields like Generative AI and LLMs, and how they can be responsibly used to gain competitive advantage in your industry.

At our first in-person Data Engineering Summit, you’ll hear from thought leaders and experts in this essential field as they tackle the most pressing issues and cutting edge technologies.

Tuesday is also the first day of the AI Expo and Demo Hall, where you can connect with our conference partners and check out the latest developments and research from leading tech companies.

Day 2: Wednesday, April 24th

Bootcamp, Platinum, Gold, Silver, VIP, 3-Day Business Virtual Platinum, Virtual Premium

The second day of ODSC East 2024 will be the second and last day of the Data Engineering Summit. Attend the summit for talks and panels on data engineering, machine learning, monitoring and management, and much more. However, it will be the first day of ODSC Keynotes.

Day 2 will also be the first day of ODSC Keynotes, as well as more hands-on training sessions and workshops on Responsible AI, MLOps, Generative AI, and more.

Day 3: Thursday, April 25th

Bootcamp, Platinum, Gold, Silver, VIP, 3-Day Business, Virtual Platinum, Virtual Premium

On the final day of ODSC East 2024, there will still be plenty of training sessions, workshops, and talks to attend. And be sure to make the most of this last chance to connect with experts and peers from around the country before you all return home.

What’s next?

We’ve got a lot planned for ODSC East. However, over 3 days you can easily check out everything you want to. See what’s trending in data science, take a deep dive into LLMs and Generative AI, upskill or start new skills, and connect with people from around the country. Register now while tickets are 30% off. Time is running out!

ODSC East Confirmed Sessions

Pre-Bootcamp Warmup Sessions

Data Literacy Primer*
Data Wrangling with SQL*
Programming with Python*
Data Wrangling with Python*
Introduction to AI*
Introduction to Machine Learning*
Introduction to Large Language Models and Prompt Engineering*

*these sessions are also available on-demand

Bootcamp Sessions

Introduction to Math for Data Science
Introduction to Data Visualization and Business Dashboards with D3

All Level Workshops and Training Sessions:

End-to-End Deep Learning for Time Series Forecasting and Analysis
Practical Challenges in LLM Evaluation
Harnessing GPT Assistants for Superior Model Ensembles: A Beginner’s Guide to AI Stacked Classifiers
An Introduction to Time Series Forecasting: A Tutorial
Deep Learning with PyTorch and TensorFlow
Generative A.I. with Open-Source LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning
Ben Needs a Friend — An intro to building Large Language Model applications
Visualization in Bayesian Workflow Using Python or R
Developing Credit Scoring Models for Banking and Beyond
Aligning Open-source LLMs Using Reinforcement Learning from Feedback
Introduction to scikit-learn: Machine Learning in Python
LLMs Meet Google Cloud: A New Frontier in Big Data Analytics
Generative AI, AI Agents, and AGI — How New Advancements in AI Will Improve the Products We Build

Keynotes and Talks:

Who Wants to Live Forever? Reliability Engineering and Mortality
Data Morph: A Cautionary Tale of Summary Statistics
Flyte: A Production-Ready Open Source AI Platform
How AI Impacts the Online Information Ecosystem
Resisting AI
Model Evaluation in LLM-enhanced Products
LangChain on Kubernetes: Cloud-Native LLM Deployment Made Easy & Efficient
Harnessing Machine Learning to Understand SARS-CoV-2 Variants and Hospitalization Risk
Training an OpenAI Quality Text Embedding Model from Scratch
Tracing In LLM Applications
What it Takes to Stabilize a GenAI-first, Modern Data Lake in a Big Company: Provision 20,000 Ephemeral Data Lakes Annually
Beyond Theory: Effective Strategies for Bringing Generative AI into Production
Moving Beyond Statistical Parrots — Large Language Models and their Tooling
Reasoning in Large Language Models
Data Automation with LLM
Generative AI for Social Good
CodeLlama: Open Foundation Models for Code
RAG, the bad parts (and the good!): building a deeper understanding of this hot LLM paradigm’s weaknesses, strengths, and limitations
Generative Modeling in Quantitative Finance
Prompt Engineering: From Few Shot to Chain of Thought
Harnessing Bayesian Statistics for Business-Centric Data Science
Trial, Error, Triumph: Lessons Learned using LLMs for Creating Machine Learning Training Data
Highly Scalable Inference Platform for Models of Any Size
Conversational Data Intelligence: Transforming Data Interaction and Analysis
Leveraging RAG and Multi-Agent LLM Systems for Automation of Knowledge Synthesis
Setting Up Text Processing Models for Success: Formal Representations versus Large Language Models
Advancing Ethical Natural Language Processing: Towards Culture-Sensitive Language Models
Accelerating the LLM Lifecycle on the Cloud
Overcoming the Limitations of LLM Safety Parameters with Human Testing and Monitoring
AI Resilience: Upskilling in an AI Dominant Environment
End-to-End Speech Recognition: The Journey from Research to Production
Bringing Precision Medicine to the Field of Mental Healthcare through Large Language Models, AI, and Psychedelics
Optimizing Workplace with AI and Generative Bots
How to Preserve Exact Attribution through Inference in AI: Get the Correct Explanations and Preserve Privacy via Instance-Based Learning
Harmony in Complexity: Unveiling Mathematical Unity Across Logistic Regression, Artificial Neural Networks, and Computer Vision
Being, Training, and Employing Data Scientists: Wisdoms and Warnings from Harvard Data Science Review
Fallacy of Scale
Abstracting ARM/x86 CPUs and NVIDIA/Neuron Hardware Accelerator Allocation for Containerized ML App
Applying Responsible Generative AI in Healthcare
How to Become a True Dataviz Pro
Practical Strategies for Data Storytelling
Vector Embeddings: The Emerging Language of AI
Social and Ethical Implications of Generative AI
Trust, Transparency & Secured Generative AI
Making AI recommendations Human-centric
Deep Reinforcement Learning in the Real World: From Chip Design to LLMs
LLM-native Products: Industry Best Practices and What’s Ahead
Designing AI Systems for Trust
How to Defend Against Weaponized Generative AI
Panel: Generative AI in Finance
Panel: Data Analytics in the Age of AI
AI and Society

Data Engineering Summit Talks and Tutorials

Designing ETL Pipelines with Delta Lake and Structured Streaming — How to Architect Things Right
Data Engineering in the Age of Data Regulations
The 12 Factor App for Data
Guardrails for Data Teams: Embracing a Platform Approach for Workflow Management
Data Pipeline Architecture — Stop Building Monoliths
Experimentation Platform at DoorDash
Is Gen AI A Data Engineering or Software Engineering Problem?
Dive into Data: The Future of the Single Source of Truth is an Open Data Lake
Tale of Apache Parquet reaching pinnacle of friendship with Data Engineers
Data Infrastructure through the Lens of Scale, Performance and Usability
From Research to the Enterprise: Leveraging Foundation Models for Enhanced ETL, Analytics, and Deployment
Building Data Contracts with Open Source Tools
Why the Hype Around dbt is Justified
Clean as You Go: Basic Hygiene in the Modern Data Stack
Unlocking the Unstructured with Generative AI: Trends, Models, and Future Directions.
Deciphering Data Architectures (choosing between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh)
Data Engineering in the Era of Gen AI
The Value of A Semantic Layer for GenAI
Unlock Safety & Savings: Mastering a Secure, Cost-Effective Cloud Data Lake

Originally posted on OpenDataScience.com

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