fbpx
Here are the First Sessions Coming to ODSC West 2024 Here are the First Sessions Coming to ODSC West 2024
We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through... Here are the First Sessions Coming to ODSC West 2024

We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2024 this October 29th-31st. These luminaries come from the companies and institutions at the forefront of innovation. Discover what they will be presenting at ODSC West below. 

In-Person & Virtual Data Science Conference

October 29th-31st, 2024 – Burlingame, CA

Join us for 300+ hours of expert-led content, featuring hands-on, immersive training sessions, workshops, tutorials, and talks on cutting-edge AI tools and techniques, including our first-ever track devoted to AI Robotics!

 

Demystifying LLM Evaluation

Jason Lopatecki | CEO and Co-Founder | Arize AI

Although large language model evaluation is essential to the responsible deployment of generative AI into enterprises, there is still much confusion in the field of LLM evaluation and performance analysis. In this session, you’ll explore the complex world of understanding where you can apply LLMs and how well they are at completing their tasks. 

Large Model Quality and Evaluation

Anoop Sinha | Research Director, AI & Future Technologies | Google

Get ready for an exploration of the unique challenges of evaluating large models, with case studies from large language models and large multimodal models in particular. You’ll address the efficacy of earlier human-in-the-loop development, benchmarking, and functional testing in the current environment, as well as, the rapidly evolving metrics for evaluating LLMs. Some of the challenges discussed include developing and using benchmarks that are robust to data contamination, creating human-based evaluation criteria, and assessing the responsibility of LLMs. 

Tackling Socioeconomic Bias in Machine Learning

Cody Coleman | CEO & Co-Founder | Coactive AI

To combat the algorithmic bias that results from the narrow selection of humanity represented in the available datasets, businesses need to train their ML algorithms on datasets that are representative of all the populations that will be affected by AI deployment. This presentation will discuss how socioeconomically diverse datasets can help address algorithmic bias.

Simulating Ourselves and Our Societies With Generative Agents

Joon Sung Park | CS PhD Candidate | Stanford University

In this session, you will take a deep dive into a paper on generative agents–computational software agents that simulate believable human behavior. To enable generative agents, we describe an architecture that extends a large language model to store a complete record of the agent’s experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior.

Level Up Your AI Expertise! Subscribe Now:  File:Spotify icon.svg - Wikipedia Soundcloud - Free social media icons File:Podcasts (iOS).svg - Wikipedia

Neural Operators: A New Era of Scientific Computing

Kamyar Azizzadenesheli, PhD | Research Staff | Nvidia

This session will explore the role of superintelligence in AI in the vast domain of natural sciences and engineering, which remains largely untapped. In this talk, we delve into the evolution of AI from neural networks to neural operators, unlocking new frontiers in advanced scientific computing. You’ll see how these cutting-edge technologies are revolutionizing our approach to understanding and modeling the complexities of the natural world, paving the way for groundbreaking discoveries and innovations.

Generative Finance Without LLMs: Applying Probabilistic ML

Deepak Kanungo | CEO | Hedged Capital, LLC

Generative AI is not just about LLMs and Chat GPT-4. Probabilistic machine learning (ML) is a type of generative AI that is ideally suited for finance and investing. Probabilistic ML models are not black boxes, and it is also possible for you to infer causes from effects in a fairly transparent manner. This tutorial will introduce you to the fundamental concepts, processes, and technologies so that you can get started using this powerful generative AI framework.

Building Reliable Voice Agents with Open Source Tools

Sara Zanzottera | AI Engineer | Kwal

In this session, you’ll explore how Voice Agents are made, which open-source tools are available to build them, and how to build one in practice. Along the way, you’ll delve into their industry impact today and what are the challenges of bringing a voice agent PoC to production, with some real-world stories from our own journey from a small demo to a large-scale deployment.

Going From Unstructured Data to Vector Similarity Search

Steven Pousty, PhD | Principal and Founder | Tech Raven Consulting

Delve into one of the key concepts in AI modeling: the storage and query of vectors. This hands-on workshop will enable participants to get practical experience through 2 examples and will cover topics like transformers, embeddings, HuggingFace, choosing a vectorization model, and effective query composition. 

Unlocking the Potential of People Analytics with Data

Christina Zhu | Developer Relations & Community Manager | Visier

In this session, we will explore the nuances of analyzing diverse datasets to create a unified analytical construct that can address the “Last Mile” of people analytics. Data visualization and data analysis are key here as we move into the future of AI and data science. We’ll also delve into how integrated data strategies and advanced analytical models can scale operations, enhance decision-making, and navigate the shift toward a strategic, data-centric people management landscape. Our talk emphasizes practical applications of people analytics and discusses the importance of several DataOps strategies and developing database DevOps, which are crucial for enterprise advancement.

In-Person & Virtual Data Science Conference

October 29th-31st, 2024 – Burlingame, CA

Join us for 300+ hours of expert-led content, featuring hands-on, immersive training sessions, workshops, tutorials, and talks on cutting-edge AI tools and techniques, including our first-ever track devoted to AI Robotics!

 

Sign me up!

These are just a few of the incredible sessions that you will be able to attend at ODSC West. Don’t miss your chance to connect with the experts and AI practitioners who share your passion this fall. Plus, if you register now, you’ll lock in our Super Early Bird pricing!

ODSC Team

ODSC Team

ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.

1