Technical Tracks

Experience our seven technical tracks to deepen your practical AI know-how. You can expect leading data scientists to explore their application building strategies. If you consider yourself a practitioner of AI, these tracks are for you.

Designed for our technical attendees, you can expect 25-50 minute sessions from data scientists who have deployed models within industry.  Whether you are new to production data science or a seasoned vet, you will find the nuanced insights you’ve been seeking to push your projects forward. Hear topics including…

  • Model Interpretability
  • Explainable AI
  • Data Privacy and Security
  • Productionizing Your Model
  • Dealing With Biased Data Sets
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing With Legacy Systems
  • Reinforcement Learning
  • And More!

Explore how industry practitioners are building natural language processing models to power their applications. Learn how to approach structured, semi-structured, and unstructured text for a variety of uses. Financial data, medical notes, office documents, customer voices- it’s all fair game, so long as you wield a diverse ML toolkit!

  • Chat + Voice Agents
  • Open-Ended Question Answering
  • Document Processing + OCR
  • Natural Language Generation
  • BERT
  • Sentiment Analysis
  • Speech Recognition
  • Search
  • Translation
  • And More!
computer vision

Vision models can now interpret car traffic, detailed medical images, and human faces. In this track, CV leaders will explore the latest techniques for applying computer vision to help push your projects forward. Join us for technical deep dives into the latest computer vision models….

  • Facial Recognition
  • Visual Search
  • Image Classification
  • Object Detection
  • GANs
  • Deepfakes
  • Action Recognition
  • And More!

Personalized recommendations have found myriad uses within industry: e-commerce, media, education, social networking, and beyond. Learn how to approach your own recommender system work by exploring a variety of applications….

  • Bias & Ethics of Recommender Systems
  • User Modeling
  • Context-Aware Recommender Systems
  • Conversational Recommender Systems
  • And More!
AI research & experimental methods

This track covers innovations in the field of artificial intelligence that have yet to make it into production. While our other tracks focus on productionized models, these sessions will pique your curiosity and give you a glimpse of what’s at the edge of AI/ML. Topics include…

  • Capsule Networks
  • Reinforcement Learning
  • Small Data
  • Federated Learning
  • Evolutionary Algorithms
  • Adversarial Learning
  • Causal Inference
  • And More!

A multidisciplinary field that requires both physical engineering and modeling, we are going to focus on the modeling aspect of robotics as opposed to the physical engineering. Learn from top roboticists how they are building robots with the AI required to navigate the world around them.

  • Motion Planning
  • Cognitive Robotics
  • Robot Control Architectures
  • And More!

Scaling and maintaining AI within an enterprise requires a set of best practices that most companies are just starting to figure out. This track is dedicated to exploring the platforms, strategies, tools, and workflows that the most successful AI organizations are using. Topics include…

  • Getting models into production
  • Data management, flow, and pipelines
  • Scaling machine learning across the enterprise
  • Enabling application developers to work with models
  • Post-production concerns: maintenance, metrics, monitoring
Data Labeling & Training

With the never-ending data requirements of deep learning models, preparing & labeling data for model training requires a significant energy investment. This track will cover the variety of ways, both automated and manual, that data can be labeled and turned into a quality training set.

  • Data labeling
  • Image annotation
  • Model training
  • Unstructured data
  • Text data labeling
And more!

Not seeing your interest? Not to fear. Other content will be covered in our industry-specific business tracks.