Our tracks are divided by “industry tracks” designed for business executives with non-technical backgrounds and “technical tracks” designed for data scientists and technical attendees.


Expect focused 25-minute solo sessions mixed with 50-minute panel discussions.


Our industry tracks include topics & use cases specific to your industry. No technical expertise required. These tracks were designed for our executive-level attendees holding non-technical roles. Click to expand and read more…


Introducing artificial intelligence into the caregiving process is no simple task. And yet, the healthcare industry is quickly adopting AI to enable better patient outcomes. In this track, enjoy talks from top providers, payers, pharmaceuticals, medical devices, health tech startups, and more. Top use cases covered in this track include…

  • Compliance
  • Fraud Waste & Abuse
  • Developing Drugs with AI
  • AI and Clinical Trials
  • AI Driven R&D
  • Diagnostics
  • Radiology
  • Patient Management
  • Provider Automation
  • Medical Devices
  • Wearable Devices
  • AI-Driven Surgery
  • Mental Health and AI
  • Personalized Medicine
  • Chatbots
  • Ethics
  • Electronic Health Records
  • Clinical Decision Support
  • Pricing & Risk
  • Population Health


Banking in the 21st century generates petabytes of data on a daily basis, enabling AI to thrive. Hear from speakers from the world’s top banks, asset managers, lenders, credit card companies, and fintechs. The following use cases of AI will be covered…

  • Generating Alpha with AI
  • Algorithmic Trading
  • Alternative Data
  • Credit Cards and AI
  • Credit Scoring
  • AI Risk
  • Risk Management and AI
  • AI and Fraud
  • Compliance
  • Solving problems with AI in Banking
  • Network Anomalie Detection
  • Chatbots
  • Underwriting

Generative AI

Generative AI has catapulted AI into the limelight, capturing the attention of individuals and institutions worldwide. Consumers and businesses, equipped with the newfound powers of creating all types of media in seconds and using LLMs for an ever growing list of tasks, understandably are both curious and apprehensive about this paradigm shift. Join these sessions to do a deep dive into generative AI….

  • Text, image, and audio generation
  • Generative AI + ChatGPT use cases across industries
  • Selecting the right mix of foundational models
  • Integrating generative AI workflows into existing operations

AI Fundamentals

In this cross industry track, discover how business leaders at top organizations think about the most transformative components of a successful AI strategy. Key strategies for success through a cross industry lens will be covered. Topics include…

  • AI Ops
  • Data Science Leadership
  • Data Science – Business Collaboration
  • Data Science Engineering Collaboration
  • Organizational Structures and Process
  • 0-1. How to Begin.
  • AI in the Cloud
  • Implementation
  • Back office Tasks and AI
  • Forecasting of Cash Flows, Accounting
  • RPA
  • Document Management
  • Data Governance, Engineering, Architecture
  • Hardware & Compute
  • Cloud


The future of defense is AI-powered. Don’t miss presentations from the world’s leading private sector companies, government institutions, cybersecurity providers, and startups. Topics include AI for…

  • Threat Detection and Response
  • Soc Automation
  • Data Privacy


Product discovery, comparison, and purchase are all being morphed by AI. Learn how the world’s largest brick & mortar retailers, eCommerce platforms, brands, CPG companies, suppliers & distributors, and top startups are changing the future of retail. Topics include…

  • Inventory Management
  • Checkoutless Technology
  • Chatbots
  • Demand Forecasting
  • Pricing
  • Discovery
  • Product Comparison


The automotive industry stands to change dramatically from the rapid expansion of AI technologies, making headlines and grabbing the attention of consumers worldwide. Hear from industry leaders on topics including…

  • Autonomous Systems
  • Connected Vehicles


The combination of blockchain and AI technologies promises trustless execution with machine intelligence. This dynamic represents the cutting edge of today’s technology developments. Topics in this track will cover…

  • Introduction to Blockchain theory and Use Cases
  • Blockchain and AI – How do They Interact?
  • Future Innovation with Blockchain and AI

Supply Chain & Logistics

Intelligent supply chains and logistics drive tremendous business and economic value. Real-time data, modeling, automation and robotics has enabled operations teams to get a clearer picture of their supply chains and logistics than ever before. Visit this track for topics including…

  • Demand forecasting
  • Robotics & Manufacturing
  • Delivery & Transport
  • Fleet Maintenance

Media & Entertainment

AI can now create compelling content and will soon be telling our stories. The media and entertainment industries are quickly adopting AI to create new experiences and keep customers as engaged as possible. Visit this track to discover topics including…

  • Gaming
  • Sports Player Performance, in Game Strategy, Drafting
  • Content Creation + Influencers
  • Making Art with AI
  • Journalism
  • Music
  • Combatting Deep Fakes
  • Image Analysis / Object Recognition / Inappropriate Content Detection
  • AI for Advanced Translation


If you’ve ever walked into a modern day manufacturing facility or even watched a video online, it’s easy to imagine the possibilities for AI to take over the entire process. Manufacturing use cases for AI are growing rapidly as companies seek to increase efficiencies and prioritize worker safety. Topics will include…

  • Predictive Maintenance
  • Robotics
  • Safety
  • Intelligence Automation
  • Plant Operations
  • Assembly Operations
  • Improving Throughput
  • Reducing Machine Downtime
  • Reducing Defects and Cost


From warfare to government operations, the public sector has much to gain from AI. Explore this track to discover how governments collect foreign intelligence, defend their borders, keep citizens safe, and provide products and services with AI. Topics will cover…

  • U.S. DoD and AI
  • CIA and AI
  • Foreign Service / State Dept and AI
  • Law Enforcement and AI
  • Government Transformation around AI Infrastructure Modernization for AI
  • Healthcare Programs and AI
  • Intelligent Automation with AI


Whether you are deciding to insure someone or handling claims, it’s all data-driven decision making. The insurance industry is adopting AI technology to more efficiently handle these main functions along with creating an enhanced customer experience. Visit this track to explore topics including…

  • Fraud Prevention
  • Underwriting
  • Pricing
  • Claims Processing
  • Computer Vision

Marketing & Customer Experience

By 2030, almost every customer interaction will be driven by AI, a critical tool for those aiming to win new customers and retain pre-existing customers. Topics include…

  • Understanding your customers with AI
  • Call Center Automation
  • Conversational AI
  • Personalization
  • AI-Driven Pricing
  • Targeted Marketing
  • Market Research and Product Development

Future of Humankind

Humanity’s future will be shaped by AI. Explore this track to discover the most cutting edge developments in AI technology and how they impact industry and society at large. Topics will include…

  • Video Gaming / VR Systems
  • Autonomous systems
  • Energy Production with AI
  • Sustainability / Environment / Climate Change and AI
  • Advanced Robotics
  • Smart telecom networks
  • Facial Recognition
  • AI in Higher Education
  • Low Code / No Code AI / Auto ML

AI Ethics and Social Impact with AI

Public and private sector leaders explore one of the most important conversations for society today. Themes span the ethical and social impact of AI on the world, and modern regulatory and compliance standards around AI. Specific topics include…

  • What is AI Ethics?
  • Doing Good with AI
  • Avoiding Harm from AI
  • Public Policy and AI
  • Model Explainability
  • Compliance & Regulation
  • Social Impact
  • Model Bias
  • Privacy

Consumer Electronics

AI is shaping the consumer experience, with many people unaware of AI’s growing influence. From mobile phones to IoT, AI has already transformed a variety of consumer products. Topics include…

  • Mobile Phones
  • Internet of Things (IoT)
  • Smart Home

HR & Recruiting

Your company’s most important resource is its people. The human resource function is an emerging area for AI driven change as recruiters leverage AI to find the perfect candidate and people teams use AI to keep employees engaged and growing. Enjoy this track to discover the following topics…

  • Recruiting
  • Resume Screening
  • Targeted Recruiting Ads
  • HR Automation
  • Hiring AI talent
  • Talent Retention (what does an AI expert want to keep working for you, and how to use AI to know if they will leave or not)
  • Training AI skills, Upskilling


Contracts are everywhere, which means vast amounts of text data ripe for AI applications. The legal field is an emerging area of adoption for AI technology, with all major law firms exploring its potential. Visit this track to discover topics including…

  • Legal Field Automation
  • In House Council uses for AI
  • Contracts and AI
  • HR and AI
  • Time Saving Tasks with AI
  • AI Driven Legal Research

Innovation Stage

The world’s top VC’s and early-stage AI startup founders take the stage. Startup founders give shorter, 10 minute “pitch” presentations. Topics include…

  • Fintech
  • Healthtech
  • Marketing Tech
  • Cross Industry AI Tools


Deepen your practical AI know-how. If you consider yourself a practitioner of AI, at any experience level, these tracks are for you. Hear leading data scientists explore their application building strategies. Click to expand and read more…


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

Recommended 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