Sessions

luther hill
Using Data science to solve national security problems. [Half-Day Workshop]
luther hill

Sharing my experience of how deploying to Iraq and Afghanistan with the Army as a soldier made me a better Data Scientest. Will cover experiences analysizing social media to identify bomb threats. Also covering what’s it’s like to use code to develop actionable intelligence for US troops.

Room: Park Suite
Topics: Soft Skills;
Tags: Big Data; Development Practices; IoT; Project Management; Python; Requirements; Security; Soft Skills

Shine Garg
Linear Scaling - Monolith to Microservices and Dataflow
Shine Garg

Over the last 12 years, Credit Karma has grown to over 85 million members, added many new products, and expanded to an international user-base. Our huge member base offers a tremendous opportunity to champion financial progress for everyone--but only if we can find ways to reach out to them at scale

Room: Downs
Topics: Application Development;
Tags: Architecture; Big Data; Development Practices; Google Cloud; Microservices

Brett Berliner
How The Heck Would I Integrate Serverless Into My Legacy Application?
Brett Berliner

Exploring serverless computing can be discouraging. It sounds amazing and starts your brain spinning about all of the potential applications, but it's not always easy to see where your legacy application may be able to take advantage. In reality, both Azure Functions and AWS Lambda can easily be use

Room: Derby
Topics: ;
Tags: AWS; Azure; Big Data; Cloud; Google Cloud

Guy Royse
Deep Learning like a Viking - Building Convolutional Neural Networks with Keras
Guy Royse

The Vikings came from the land of ice and snow, from the midnight sun, where the hot springs flow. In addition to longships and bad attitudes, they had a system of writing that we, in modern times, have dubbed the Younger Futhark (or ?????? if you're a Viking). These sigils are more commonly called

Room: Keeneland
Topics: Application Development;
Tags: Big Data; JavaScript; Python

Alexander Slotte
Real-Time Data Streaming with Azure Stream Analytics
Alexander Slotte

It’s imperative in today's world to be able to make split second decisions based on real-time data. Reports based on batch data are great for looking back at trends and potentially making long-term decision, but old data is in many cases already obsolete, and the opportunity to have an actionable im

Room: Derby
Topics: ;
Tags: .NET; Azure; Big Data; IoT

Mike Schlegel
Machine Learning Lite - Great Taste, Less Filling
Mike Schlegel

Not a data scientist? No problem. This is a developer led introduction to using Azure's Machine Learning Studio. We'll talk about how ML Studio works and walk through an experiment from raw data to usable metrics. No deep dives on math, no need to learn R. Just some interesting conclusions abou

Room: Hialeah
Topics: ;
Tags: Azure; Big Data; Cloud

Brian Korzynski
Is Machine Learning the right tool?
Brian Korzynski

To many people, machine learning is a black box of awesomeness that magically solves all of your problems. When you combine this with how much it is talked about in the news it can be very hard to understand what it truly is, what kind of problems it can solve, and where it fits in your developer to

Room: Derby
Topics: Application Development
Tags: Big Data

Matthew Groves
Introduction to SQL++ for Big Data: Same Language, More Power
Matthew Groves

The most popular databases in the world all speak SQL, and almost 60% of Stack Overflow members use SQL. SQL is the query language that dominates when it comes to interacting with data. Data has changed the 1970s; it’s no longer just stored in flat tables, but as rich, hierarchical object structures

Room: Downs
Topics: Application Development;
Tags: Big Data; Database; Other; SQL

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A software development conference in the Louisville, KY area on designed to cover all aspects of software development regardless of development stack.

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