Sessions

A Crash Course on Google Cloud AutoML and Machine Learning APIs

A Researcher's Guide to the Third Dimension: Best Practices for Immersive Data Visualization

A Serverless Approach to Data Processing using Apache Pulsar

A Tale of Three Deep Learning Frameworks: TensorFlow, Keras, & Deep Learning Pipelines

A tale of two BI standards: Data warehouses and data lakes

Agile Integration Using an Enterprise Data Hub

AI Powered Customer Analytics in the age of GDPR

Applying Probabilistic Algorithms

Best Practices in Data Visualization

BI Conversational Bot - The High Speed Bridge Between Data and Decision

Big Data as a Service: Running Elasticsearch on Pure

Blockchain in Residential Real Estate

Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases

Creating operational efficiency: Automating big data, AI, and ML to improve profit

Critical data management practices for easy and unified data access that is secured and meets regulatory compliance

Drawing the Proper Balances -- Security, Convenience, and Privacy

Efficient Data formats for Analytics with Parquet and Arrow

Enabling real-time exploration and analytics at scale to drive operational intelligence at Hulu

From the Panama Papers to Russian Trolls - How Graph Databases are Revealing Hidden Relationships and Exposing Corruption.

Graph Computing: How the Gremlin Stole Christmas

How a data science project effected change for low-income parking citation holders

How is Blockchain Changing Big Data Relationships in Entertainmemt

How Malwarebytes Leverages Big Data, AI and the Cloud to Protect Millions

Introduction - Subash D'Souza (Bovard)

Keynotes

Mapping the World in 3D

Physical Security via Digitization and IOT

Populating your Enterprise Data Hub for Next Gen Analytics

Standing on shoulder of giants building Core Digital Media's data platform using Big Data technologies

Streaming and IoT

Telling Meaningful Stories with Data

The Future of Workplace Insights With Augmented Reality (AR) and Big Data

The Need for Speed: How the Auto Industry Accelerates Machine Learning with Visual Analytics

Towards Data Science Engineering Principles

Using Data Literacy to Build an Insights Driven Culture

Using ML to analyze text message conversations

What I’ve Learned About How Machines Learn: My time at Microsoft, Workpop, Reddit and Novi!

When Rotten Tomatoes isn’t enough: Analyzing Twitter Movie Reviews using DataStax Enterprise

Why use a columnar database for analytical workloads

Coffee Break

Lunch - Sponsored By WANdisco

Networking Reception - Sponsored by BCG Gamma

Panel on Technology Innovation in the Media & Entertainment Space

Registration & Refreshments

Registration and Breakfast

Registration Check-In / Info

Startup Showcase