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The ODSC East 2025 Schedule: 150+ AI & Data Science Sessions, Keynotes, & More

ODSC - Open Data Science

Sessions: Keynotes: Eric Xing, PhD, Professor at CMU and President of MBZUAI: Toward Public and Reproducible Foundation Models Beyond Lingual Intelligence Book Signings: Sinan Ozdemir: Quick Start Guide to Large LanguageModels Matt Harrison: Effective Pandas: Patterns for Data Manipulation Workshops: Adaptive RAG Systems with Knowledge Graphs: Building (..)

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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

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Where AI is headed in the next 5 years?

Pickl AI

Robotics also witnessed advancements, with AI-powered robots becoming more capable in navigation, manipulation, and interaction with the physical world. Explainable AI and Ethical Considerations (2010s-present): As AI systems became more complex and influential, concerns about transparency, fairness, and accountability arose.

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Highlights and Pictures from ODSC East 2023

ODSC - Open Data Science

Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This article by Samhita Alla, a software engineer and tech evangelist at Union.ai, provides a simplified walkthrough of the applications of Flyte in MLOps. Fiddler AI Fiddler AI is a model monitoring and explainable AI platform that helps data scientists and machine learning engineers understand how their models work.

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A Comprehensive Guide on Deep Learning Engineers

Pickl AI

Collaboratio n: Working with data scientists, software engineers, and other stakeholders to integrate Deep Learning solutions into existing systems. Ethical AI and Responsible Deployment As Deep Learning technologies become more pervasive, ethical considerations surrounding AI deployment will become increasingly important.