ODSC East 2018 (Open Data Science Conference)

ODSC

The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence

Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more.

Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including:

Deep Learning and Machine Learning

Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note:

• Distributed TensorFlow using Kubernetes
• Deep Learning Pipelines for Big Images
• Machine Learning and Natural Language Processing for Detecting Fake News
• Long-Term Time Series Forecasting with Recurrent Neural Networks
• A Breakthrough for Natural Language
• Transfer Learning: Applications for natural language understanding
• Challenges and Opportunities in Applying Machine Learning
• Effective Transfer Learning for NLP
• Developing Machine Learning Solutions with Plugin Machine Intelligence for PDI
• Distributed Tensorflow: Scaling Your Model Training

Core Data Science and Data Visualization

As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data scientist's toolkit. Some session of note include:

• Bayesian Statistics Made Simple
• Gradient Descent, Demystified
• Comparing Models Using Resampling and Bayesian Methods
• Next Generation Indexes For Big Data Engineering
• Probabilistic Programming with PyMC3
• Racial Bias in Facial Recognition Software
• Visualization throughout the Data Science Workflow:
• Datafy All The Things

Data Science, Management, And Business

Data science is permeating every industry as adoption gathers pace. The management and practice of data science will become increasingly strategically important to all industries including finance and healthcare. Hear from leading experts on important topics including:

• Blockchain and AI: future data systems must be built differently
• Marketing in a Machine Learning World
• The Adoption of AI in Business: Opportunities and Challenges:
• Winning with AI: What's working, what needs work?
• Building an effective AI practice
• Applied Finance: The Third Culture
• Machine Learning Powers Better Decisioning in Financial Services
• AI and Data Science in Investment
• AI and Big data in Medicine: Trust, Transparency, and Transformation
• Algorithmic Transparency and Health Care: Where do we go from here?
• What will you do with democratized health data?
• A Physician-Data Scientist Grand Vision: A Virtual Medical Oracle

Thought Leadership | Keynotes

Data science and artificial intelligence are helping shape the future of business and society. Thoughtful leadership is essential and ODSC East was honored to host a few of the field's leading lights including Cathy O’Neil, author of Weapons of Math Destruction, Drew Conway, one of the most well-known data scientists in the world, Gary Marcus, an award-winning Professor, and Kirk Borne, data scientist and executive advisor at Booz-Allen Hamilton. Thought-provoking presentations include:

Catherine O'Neil | Weapons of Math Destruction: Separating Data Facts and Opinion
Drew Conway | Building a Data Science Company
Kirk Borne | Current and Future Trends in AI, Machine Learning, and Data Science
Gary Marcus | The Social Disease Known as Hype in AI and How to Separate What AI can do and What People Wish it Would do

Please see our table of contents for a full list of videos