Conference:March 6-8, 2017
Workshops:March 9-10, 2017
Speaker: Anjuli Kannan
Find Anjuli Kannan at
Talk: Deep Learning @Google Scale: Smart Reply in Inbox
Other talks from the same track
Tracks
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Architecting for Failure
Building fault tolerate systems that are truly resilient
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Architectures You've Always Wondered about
QCon classic track. You know the names. Hear their lessons and challenges.
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Modern Distributed Architectures
Migrating, deploying, and realizing modern cloud architecture.
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Fast & Furious: Ad Serving, Finance, & Performance
Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance
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Java - Performance, Patterns and Predictions
Skills embracing the evolution of Java (multi-core, cloud, modularity) and reenforcing core platform fundamentals (performance, concurrency, ubiquity).
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Performance Mythbusting
Performance myths that need busting and the tools & techniques to get there
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Dark Code: The Legacy/Tech Debt Dilemma
How do you evolve your code and modernize your architecture when you're stuck with part legacy code and technical debt? Lessons from the trenches.
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Modern Learning Systems
Real world use of the latest machine learning technologies in production environments
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Practical Cryptography & Blockchains: Beyond the Hype
Looking past the hype of blockchain technologies, alternate title: Weaselfree Cryptography & Blockchain
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Applied JavaScript - Atomic Applications and APIs
Angular, React, Electron, Node: The hottest trends and techniques in the JavaScript space
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Containers - State Of The Art
What is the state of the art, what's next, & other interesting questions on containers.
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Observability Done Right: Automating Insight & Software Telemetry
Tools, practices, and methods to know what your system is doing
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Data Engineering : Where the Rubber meets the Road in Data Science
Science does not imply engineering. Engineering tools and techniques for Data Scientists
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Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
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Workhorse Languages, Not Called Java
Workhorse languages not called Java.
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Security: Lessons Learned From Being Pwned
How Attackers Think. Penetration testing techniques, exploits, toolsets, and skills of software hackers
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Engineering Culture @{{cool_company}}
Culture, Organization Structure, Modern Agile War Stories
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Softskills: Essential Skills for Developers
Skills for the developer in the workplace
