Accelerate Your Knowledge and Career
AI is transforming industry and presenting unparalleled challenges and opportunities. Hear expert speakers explain essential AI topics such as machine learning, deep learning, predictive analytics, and many more. Learn the essential skills of tomorrow, today.
Telling Stories with Data
Data visualisation offers a brilliant way of bringing the raw numbers to life. This tutorial will introduce an audience-centred approach to visualising data.
Using AI to Answer Questions
AI expert, Joel Grus on AI systems that have a deeper understanding of the world and can demonstrate understanding through questioning and answering.
The State of Conversational AI
This exceptional talk gives a technical overview & review of current state-of-the-art deep learning & NLP tactics for chatbots and conversational interfaces
Building an Object Detection Toolkit in Tensorflow
In this talk, we will discuss how state of the art object detection techniques work. Moreover, we will explore an implementation of an open source Python object detection toolkit based on TensorFlow
Interpreting Predictions from Complex Models
With large modern datasets the best accuracy is often achieved by complex models even experts struggle to interpret. Here, we present a unified framework for interpreting predictions, namely SHAP (SHapley Additive exPlanations)
Data science for the 99%
Many small companies such as start-ups may never have a data science team. Learn ways in which this neglected majority can benefit from data science.
Application of AI and Data Science in the Medical World
Learn how AI is having a profound impact in the medical world
Dealing with Overfitting When Crowdsourcing Financial Alpha
Quantopian is attempting to change Fnancial services by allowing anybody to research and design trading strategies.
Advancing large-scale neural network predictions
Use BigQuery for deep learning to "democratize enterprise data"
Machine Learning For Beginners
This excellent primer teaches you the difference between AI, machine learning, and deep learning and also the basics of essential models in all three.
Artificial Intelligence in the Enterprise
Accomplished AI expert Ronald Bodkin explains why AI is so hot, details enterprise use cases, and given you insights on how to get started on your AI journey
Modern Approaches to Finance
Given the high volume of accurate historical data and the underlying quantitative nature of the industry, the financial sector is well suited for machine learning. Today data science has found many integral roles in the this financial ecosystem
Deep Learning using PyTorch
PyTorch is new deep learning framework that enables new-age A.I. research using dynamic computation graphs
Intro to D3
Visualizations are the most important way we can intuitively make sense of our data. And the best way to dig deeper into our data is to make those visualizations interactive. Everyone from the New York Times to Google is using D3.js. Learn why.
Rapid Prototyping Data Products using R Shiny
Learn the benefits of rapid prototyping using the popular R Shiny platform
Dreams for Future Cities: How AI wants to take care of us
A renowned author and MIT Media Lab researcher delivers an electrifying talk on how AI can profoundly impact our lives.
League of Losers Against Innovation and AI
In this hard hitting and witty talk, the CEO of one of AI’s hottest start-ups rails against the forces aligned against implementing AI in the enterprise.
The Coexistence of Data Science in a Uni-variate Data-Driven Culture
Using Deep Learning for search-by-example scenarios within large image catalogs
Building Data Pipelines for ML
Introduction to Reinforcement Learning
Experience ODSC Live!
Hear from the best and brightest in data science and AI at ODSC East
Tour Livestream brings you of the best of the best. Based on pre-registration popularity we bring you both the top speakers and the most highly anticipated sessions to ensure you get the best of ODSC East 2019
A Few of our Distinguished Keynotes and Invited Speakers
Founder and CEO at Matroid, a computer vision startup, and an Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has been working on Artificial Intelligence since 2005 when, at the age of 18, he was part of Google’s AI research team.
Accelerate AI'18 Keynote
Technical Director of Applied AI at Google, where he leads AI experiments and collaborates with Google Product and Engineering for AI products. He engages deeply with Global F500 enterprises to unlock strategic value with AI. Previously, Ron was the founding CEO of Think Big Analytics. Ron holds a BS in math and computer science with honors from McGill University and a master’s degree in computer science from MIT, where he also pursued a PhD.
Accelerate AI'18 Keynote
Virginia Eubanks, PhD
is an associate professor at SUNY and author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. As models become prolific in our society practitioners must be of vigilant to the unintentional consequences that Virginia exposes.
ODSC West'18 Keynote
Dr Kirk Borne
Kirk Borne is a data scientist and an astrophysicist who has used his talents at Booz Allen since 2015. He was professor of astrophysics and computational science at George Mason University (GMU) for 12 years. Kirk spent nearly 20 years supporting NASA projects.
ODSC East'18 Invited Speaker