35:56
Self-racing Using Deep Neural Networks: Lap 2
Jendrik Joerdening, Anthony Navarro discuss how a team of Udacity students used neural networks to teach in two days a car drive by itself around a track.
32:58
Counting is Hard: Probabilistic Algorithms for View Counting at Reddit
Krishnan Chandra explains the challenges of building a view counting system at scale, and how Reddit used probabilistic counting algorithms to make scaling easier.
46:19
Developing Data and ML Pipelines at Stitch Fix
Jeff Magnusson discusses thoughts and guidelines on how Stitch Fix develops, schedules, and maintains their data and ML pipelines.
49:28
Building a Reliable Cloud-Based Bank in Java
Jason Maude talks about the server-side implementation of Starling Bank and shows how, even though Java is over two decades old, it can still be used for cutting edge applications.
33:49
Counterfactual Evaluation of Machine Learning Models
Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.
34:49
Using Artificial Intelligence to Test the Candy Crush Saga Game
Alexander Andelkovic shows how King is training artificial intelligence bots to test its games by mimicking human interactions.
15:15
Tried and True Approach to Cloud Native Design - An Experienced-Based Method
Rahul Kandhari discusses HCL’s journey creating microservices and lessons learned along the way.
44:47
10k Deploys a Day - the Skyscanner Journey So Far
Stuart Davidson tries to dispel the myth that all needs to be "all-in" from the start and walks through how Skyscanner got to where they are, one step and one transition at a time.
32:16
Zero-Dollar Migration Program
Rahul Deo discusses how to lower the cost of Pivotal migration using an engagement model which manages rising cost issues.
49:18
Logistics as a Service: Building the Ocado Smart Platform
Paul Sweetman and Alex Harvey discuss how Ocado Technology has built The Ocado Smart Platform, a scalable, AWS-based microservices architecture, combined with GCP analytics and a robotics grid.
48:18
Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
23:54
Expand Cloud Foundry for the Enterprise
Tim Leong discusses how Comcast leverages BOSH, the Service Broker API and Custom Buildpacks to add functionality to their DevOps teams to deploy and maintain geographically dispersed applications.
