ODSC East 2022 is less than a month away, and this event is shaping up to start off the year on a high note. Coming April 19th-21st in Boston or virtually, ODSC East will feature over 260 speakers and more than 300 hours of content, showcasing the breadth and depth of trending data science topics, tools, and frameworks that help data scientists get ahead. From these sessions to the AI Expo Hall and more, here are a few reasons to attend ODSC East 2022. An in-person Bronze Pass gives you access to over 60 ODSC talks that include deep learning, machine learning, responsible AI, NLP, and MLOps. Overconfidence in machine learning: do our models know what they don't know?

A model that never makes it into production is one that is incapable of producing value for a business or organization. Unfortunately, the percentage of models that make it out of development is still low. However, the field of MLOps is focused on this very problem and has come up with a number of solutions, best practices, and tools to help organizations effectively integrate machine learning and AI models into their business practices. These MLOps trends will be helpful beyond just 2022. To help you learn the tools and skills you need to implement MLOps in your organization, ODSC East 2022 will feature talks, workshops, and training sessions led by some of the best and brightest minds in the field.

Editor's note: Yinxi is a speaker for ODSC East 2022. Be sure to check out her talk alongside Sean Owen, "MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks," to learn more about MLOps! The past decade has seen huge adoption of Machine Learning (ML) usage in all industries. The core of any ML solution is a set of data transformation and operation pipelines, which are executed to produce a model that maps input data to a prediction. Data scientists can implement and train an ML model on an offline dataset with a Jupyter Notebook or IDE on a local machine.