CONFERENCE
2023 AI/ML Engineering Conference Tracks
AI/ML Engineering Conference
MLOps & AIOps
Managing artificial intelligence and machine learning projects often comes down to managing the enormous amounts of data and compute required to build functional models. In this track, we’ll explore the technologies, processes, and best practices that make managing your AI/ML pipelines easier while improving your team’s performance.
AI/ML Engineering Conference
Tensorflow, PyTorch & Open Source Frameworks
Exciting new models and approaches to AI/ML regularly emerge from the researchers focused on them, but their power can only be unlocked when implemented in end user applications. In this track, we’ll explore the AI/ML frameworks that make these models accessible to developers and discuss best practices for managing and maintaining applications built upon them as the rapid pace of innovation continues.
AI/ML Engineering Conference
Data Science & Predictive Models
Data science enables a company to utilize algorithms and predictive models to draw insights and forecasts from their data. What are the cutting-edge technologies and best practices for implementing data science initiatives in your company, and what types of predictive models prove the most useful?
AI/ML Engineering Conference
Bots & Language Processing
Large language models may garner headlines, but they are only the latest in a long line of innovations associated with natural language processing. In this track, we’ll explore the full breadth of the NLP and chat bot space to discuss the techniques that work best while delivering real value both to organizations and their end users.
AI/ML Engineering Conference
Applied Machine Learning
Advances in compute power and digital communications have allowed organizations to embed machine learning and artificial intelligence in more applications. In this track, we’ll hear from experts on the successes they have seen from the processes and technologies they adopted while exploring best practices to help your teams leverage machine learning to improve your application experiences.
AI/ML Engineering Conference
Deep AI Learning & Neural Networks
Many of the most impressive applications of AI/ML technology has come from “deep learning” models that leverage complex math and computing techniques to turn input data into meaningful predictions. In this track, we’ll do a deep dive into these techniques to explore their associated benefits and challenges while keeping an eye toward what’s coming next.