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!
NLP

The past couple years have demonstrated the power of large language models, putting NLP front and center. This technical track will explore how industry practitioners are building natural language processing models to power their internal and consumer-facing applications. Topics will include…

  • Text to Speech
  • Speech to Text
  • Chat + Voice Agents
  • Open-Ended Question Answering
  • Document Processing + OCR
  • Natural Language Generation
  • BERT
  • Sentiment Analysis
  • Search
computer vision

Vision models can now interpret car traffic, detailed medical images, and human faces. In this technical 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. Topics include…

  • Facial Recognition
  • Visual Search
  • Image Classification
  • Object Detection
  • Video
  • GANs
  • Deepfakes
  • Action Recognition
RECOMMENDER SYSTEMS

From listening to music to streaming TV, we touch rec systems every day. Personalized recommendations have found myriad uses within industry: e-commerce, media, education, social networking, and beyond. Topics in this technical track will span…

  • Bias & Ethics of Recommender Systems
  • User Modeling
  • Context-Aware Recommender Systems
  • Conversational Recommender Systems
  • Content Recommender Systems
  • Product Recommender Systems
AI research

The bleeding edge of AI that hasn’t made 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
  • Multimodal modeling
All Things Data

Data is the fuel for all machine learning applications. “Garbage in, garbage out”, as they say! This technical track will cover all topics related to making machine learning work better by enhancing your data operations. Topics will span..

  • Platforms and Tools
  • Synthetic Data
  • Data Governance
  • Data Labeling and Training
  • Data Visualization
  • Data Pipelines
  • Unstructured data
ML Ops & Platforms

Learn how the best technical leaders deploy and maintain machine learning models in production reliably and efficiently. Data science and ML ops leaders will look at the end to end process of applying machine learning in an enterprise setting. Topics include…

  • Getting Models into Production Successfully
  • Data management, Flow, and Pipelines
  • Scaling machine learning across the enterprise
  • Enabling application developers to work with models
  • Post-production Concerns: Maintenance, Metrics, Monitoring
  • Teams and Collaboration Best Practices
  • End to End ML Processes
Prediction and Time Series

While time is a tricky variable for ML models, a variety of industry problems require time-labeled data to solve. This technical track will explore the latest use cases and techniques in prediction and time series models. Topics will span…

  • Business forecasting
  • Finance
  • Healthcare Use Cases
And more!

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