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32:43

AI in Medicine

Posted by Anthony Chang  on  Apr 09, 2017 Posted by Anthony Chang  on  Apr 09, 2017

Anthony Chang presents the current status of AI in medicine and the foreseeable future in front of it.

48:18

Goodbye PrintGCDetails... and Other JDK 9 Changes!

Posted by Tony Printezis  on  Apr 09, 2017 Posted by Tony Printezis  on  Apr 09, 2017

Tony Printezis talks about the major changes and improvements coming in JDK 9 that will affect (but also help) anyone who's interested in Java performance monitoring, profiling, and tuning.

15:40

The Age of the Self-Managed Organization

Posted by Doug Kirkpatrick  on  Apr 08, 2017 4 Posted by Doug Kirkpatrick  on  Apr 08, 2017 4

Doug Kirkpatrick discusses self-management: creating an organization without bosses and titles, being agile and innovative, and creating strategic business advantages.

46:36

Products and Prototypes with Keras

Posted by Micha Gorelick  on  Apr 08, 2017 Posted by Micha Gorelick  on  Apr 08, 2017

Micha Gorelick shows how to build a working product with Keras, a high-level deep learning framework, discussing design decisions, and demonstrating how to train and deploy a model.

49:40

Causal Consistency for Large Neo4j Clusters

Posted by Jim Webber  on  Apr 07, 2017 Posted by Jim Webber  on  Apr 07, 2017

Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.

48:32

Our Concurrent Past; Our Distributed Future

Posted by Joe Duffy  on  Apr 07, 2017 Posted by Joe Duffy  on  Apr 07, 2017

Joe Duffy talks about the concurrency's explosion onto the mainstream over the past 15 years and attempts to predict what lies ahead for distributed programming, from now til 15 years into the future.

40:00

Deep Learning at Scale

Posted by Scott Le Grand  on  Apr 05, 2017 Posted by Scott Le Grand  on  Apr 05, 2017

Scott Le Grand describes his work at NVidia, Amazon and Teza, including the DSSTNE distributed deep learning framework.

43:41

Building Robust Machine Learning Systems

Posted by Stephen Whitworth  on  Apr 05, 2017 Posted by Stephen Whitworth  on  Apr 05, 2017

Stephen Whitworth talks about his experience at Ravelin, and provides useful practices and tips to help ensure our machine learning systems are robust, well audited, avoid embarrassing predictions.

46:52

Taming Complexity with Object-Oriented UX

Posted by Sophia Voychehovski  on  Apr 04, 2017 Posted by Sophia Voychehovski  on  Apr 04, 2017

Sophia Voychehovski discusses all the factors that cause complexity, the three key ways one can wrangle it and object-oriented UX.

39:52

Putting the ‘V’ Back in MVP

Posted by Ralf Jeffery  on  Apr 02, 2017 Posted by Ralf Jeffery  on  Apr 02, 2017

Ralf Jeffery explains the different types of MVP execution, why stakeholders struggle to support MVPs and how to deal with this issue, and how successful teams practice MVP design and execution.

34:33

Reactive & Asynchronous - Adventures with APIs in Financial Trading

Posted by Michael Barker  on  Apr 02, 2017 Posted by Michael Barker  on  Apr 02, 2017

Michael Barker discusses several low-latency APIs used for financial trading, what makes them fast and how they compare to HTTP/REST/JSON/XML APIs.

50:48

Big Data Infrastructure @ LinkedIn

Posted by Shirshanka Das  on  Apr 02, 2017 Posted by Shirshanka Das  on  Apr 02, 2017

Shirshanka Das describes LinkedIn’s Big Data Infrastructure and its evolution through the years, including details on the motivation and architecture of Gobblin, Pinot and WhereHows.

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