Announcing the ODSC West 2023 Preliminary Schedule
ODSC West 2023 is just a couple of months away, and we couldn’t be more excited to be able to share our Preliminary 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. Below, you will also find a complete list of confirmed sessions organized by type.
Day 1: Monday, October 30th (Bootcamp, VIP, Platinum)
Day 1 of ODSC West 2023 will feature our hands-on training sessions, workshops, and tutorials and will be open to Platinum, Bootcamp, and VIP pass holders. Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization.
- Speaker and VIP Reception
- AI Investor Reverse Pitch
- Dinner with Data Scientists
- Mini-Bootcamp Dinner
- Virtual Open Spaces
- Morning Run
Day 2: Tuesday, October 31st (Bootcamp, Platinum, Gold, VIP, Virtual Platinum, Virtual Premium)
Day 2 of ODSC West 2023 will be another day, 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 2 is also the first day of our revamped Ai X Business and Innovation Summit. Now 2 days, the Ai X Summit brings together 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.
Tuesday is 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.
Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark, featuring a costume contest, candy, and more.
- Halloween Data After Dark
- AI Expo and Demo Hall
- Virtual Open Spaces
- Morning Run
Day 3: Wednesday, November 1st (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium)
The third day of ODSC West 2023, will be the second and last day of the Ai X Business and Innovation Summit and the AI Expo and Demo Hall. However, it will be the first day of ODSC Keynotes and expert-led talks.
You’ll also find another full day of hands-on training sessions and workshops on Responsible AI, MLOps, Generative AI, and more.
And in your downtime between sessions don’t miss the chance to join our scavenger hunt. Explore the venue, complete tasks, or find hidden items for the chance to win cool prizes.
Finally, end your day with small bites, drinks, and fun conversations with data practitioners from around the country at the ODSC Networking Reception.
- Networking Reception
- AI Expo and Demo Hall
- In-Person Women Ignite Session
- Virtual Open Spaces
- Morning Run
Day 4: Thursday, November 2nd (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium)
On the final day of ODSC West 2023, there will still be plenty of training sessions, workshops, and talks to attend. There will also be an in-person career expo where you can find your next job in data science! 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.
- AI Expo and Demo Hall
- Career Lab & Expo
- In-Person Scavenger Hunt
- Virtual Open Spaces
- Morning Run
Register Now and Check Out the ODSC West 2023 Preliminary Schedule.
What’s next?
We’ve got a lot planned for ODSC West 2023. However, over 4 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! Stay tuned for a more detailed ODSC West 2023 schedule and plan ahead. Register now while tickets are 50% off. Prices go up Friday!
ODSC West Confirmed Sessions
Pre-Bootcamp Warmup and Self-Paced Sessions
- Data Literacy Primer*
- Data Wrangling with SQL*
- Programming with Python*
- Data Wrangling with Python*
- Introduction to AI*
- Introduction to NLP
- Introduction to R Programming
- Introduction to Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Introduction to Fine-Tuning LLMs
- LLM Agents and LangChain
- Parameter Efficient Fine Tuning
- Retrieval-augmented generation (RAG) for(LLMs
*both live and on-demand
Bootcamp Sessions
- AI Primer
- Data Wrangling with Python
- LLMs, Prompt Engineering, and Generative AI
- Introduction to Math for Data Science
- Statistic for Data Science
All Level Workshops and Training Sessions:
- MLOps: Monitoring and Managing Drift
- Uncertainty Quantification: Approaches and Methods
- Generative AI, Autonomous AI Agents, and AGI — How new Advancements in AI will Improve the Products we Build
- Architecting Data: A Deep Dive Into the World of Synthetic Data
- Retrieval Augmented Generation (RAG) 101: Building an Open-Source “ChatGPT for Your Data” with Llama 2, LangChain, and Pinecone
- Evaluation Techniques for Large Language Models
- Massively Speed-Up your Learning Algorithm, with Stochastic Thinning
- Machine Learning Has Become Necromancy
- How to Practice Data-Centric AI and Have AI improve its Own Dataset
- Prompt Optimization with GPT-4 and Langchain
- Machine Learning for High-Risk Applications — Techniques for Responsible AIO
- Automating Business Processes Using LangChain
- No-Code and Low-Code AI: A Practical Project Driven Approach to ML
- A Background to LLMs and Intro to PaLM 2: A Smaller, Faster and More Capable LLM
- Deploying Trustworthy Generative AI
- The AI paradigm shift: under the hood of a Large Language Models
- Learn how to Efficiently Build and Operationalize Time Series Models in 2023
- The Rise of a Full Stack Data Scientist: Powered by Python
- Building Responsibly Using Llama
- Personalizing LLMs with a Feature Store
- What is a Time-series Database and Why do I Need One?
- Machine Learning with XGBoost
- Idiomatic Pandas
- Causal AI: from Data to Action
- Bridging the Gap: Light Code Solutions to Uniting Social Science and Modern Knowledge Graphs
- Building LLM-powered Knowledge Workers over Your Data with LlamaIndex
- Anomaly Detection for CRM Production Data
- Aligning Open-source LLMs Using Reinforcement Learning from Feedback
- Beyond Demos and Prototypes: How to Build Production-Ready Applications Using Open-Source LLMs
- Overview of Mojo
- : Usability of Python, Performance of C
- Missing Data: A Synthetic Data Approach for Missing Data Imputation
- Using Graphs for Large Feature Engineering Pipelines
- Graphs: The Next Frontier of GenAI Explainability
- Stable Diffusion: A New Frontier for Text-to-Image Paradigm
- Facial Recognition from Scratch with Python and JS
- Data for Social Good — Find Your Paradise!
Keynotes and Talks:
- Neural Networks Make Stuff up. What Should We do About it?
- Human Centered AI
- Capturing CAP in a Kappa Data Architecture
- A Semi-Supervised Anomaly Detection System Through Ensemble Stacking Algorithm
- Data Science Applied to Manufacturing Problems
- Building a Data-Driven Workforce
- AI and Video Games: The Evolution
- Data Morph: A Cautionary Tale of Summary Statistics
- Understanding the Landscape of Large Models
- Scaling your Data Science Workflows by Changing a Single Line of Code
- Troubleshooting and Measuring Embedding/Vector Drift for Production Deployments of Language Models
- Bridging the Interpretability Gap in Customer Segmentation
- Democratizing Fine-tuning of Open-Source Large Models with Joint Systems Optimization
- Representation Learning on Graphs and Networks
- General and Efficient Self-supervised Learning with data2vec
- Towards Explainable and Language-Agnostic LLMs
- Fine-tuning LLMs on Slack Messages
- A Unified and User Friendly Approach to Develop ML Solutions in MySQL HeatWave AutoML
- MLOps v LMOps — What’s Different?
- Battle Scars from the MLOps Trenches of the Robotaxi Industry
- The Crucial Role of Digital Experimentation and A/B Testing in the AI Landscape
- Scope of LLMs and GPT Models in Security Domain
- Security First, Create a Robust Machine Learning Model
- Building Generative AI Applications: An LLM Case Study
- Keras Core: Keras for TensorFlow, JAX, and PyTorch
- Causality and LLMs
- Connecting Large Language Models — Common Pitfalls & Challenges
- Attribution and Moral Rights in Generative AI
- Finance Audio and Automated Speech Recognition — The Perfect Marriage
- The English SDK for Apache Spark™
- Integrating Language Models for Automating Feature Engineering Ideation
- The Devil in the Details: How Defining an NLP Task can Undermine or Catalyze its Successful Implementation
- HPE Machine Learning Development Environment and the Open Source ML Advantage
- How to Deliver Contextually Accurate LLMs
- Running Data Quality Checks in Your Data Pipelines
- From Raw Data through Vectors to a Comprehensive Recommendation Model
- Building Robust and Scalable Recommendation Engines for Online Food Delivery
- Implementing Gen AI in Practice
- Attack on Machine Learning, Defend with MLOps
- Adopting Language Models Requires Risk Management — This is How
Originally posted on OpenDataScience.com
Read more data science articles on OpenDataScience.com, including tutorials and guides from beginner to advanced levels! Subscribe to our weekly newsletter here and receive the latest news every Thursday. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event? Learn more about our upcoming events here.
