49:17
Machine Intelligence at Google Scale
Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.
44:02
Engineering Engineering Culture with Memes
Bruce Johnson describes some real-world examples of memes that helped shape engineering team culture during his years at Google and play an epic role at FullStory today.
47:03
Real-World Virtual Reality
Alex Kesling explores Google Expeditions as a case study in building meaningful Virtual Reality applications.
50:42
Deep Learning @Google Scale: Smart Reply in Inbox
Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox
40:53
What Google Learned about Creating Effective Teams
Matt Sakaguchi talks about some of the practical research Google has done around building effective teams, along with key insights from the Pilot program at Google.
36:31
In Depth TensorFlow
Illia Polosukhin keynotes on TensorFlow, introducing it and presenting the components and concepts it is built upon.
31:03
TensorFlow: A Flexible, Scalable & Portable System
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
50:30
What Google Learned about Creating Effective Teams
Matt Sakaguchi addresses the research and the insights of a manager who worked with his own team and others to instill the findings and principles from a pilot program at Google in the real world.
39:57
Using a Design Sprint to Accelerate Innovation
Rob Scherer and Rob Alford discuss the Design Sprint process used by Google Ventures, some of the changes made to it and lessons learned along the way.
46:52
Streaming Auto-scaling in Google Cloud Dataflow
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
51:37
Service Architectures at Scale: Lessons from Google and eBay
Randy Shoup discusses modern service architectures at scale, using specific examples from both Google and eBay. He covers some interesting lessons learned in building and operating these sites.
25:05
Infrastructure Built in Go
Jessie Frazelle takes a look inside the tools built in Go centered around infrastructure and ops - from Docker to etcd to nsq and more.
