McLaren Applied Technologies
McLaren Applied Technologies
Where man and machine perform together to address the world’s most significant challenges
McLaren Applied Technologies harnesses the significant R&D, technical expertise and innovative spirit that has kept McLaren at the pinnacle of elite motorsport for five decades. It then applies this knowledge and approach to improve the performance of and inspire innovation in blue-chip companies. McLaren Applied Technologies works in a range of industries, often totally unrelated to motorsport or automotive, including healthcare, pharmaceuticals, energy, transportation and consumer brands. Visit www.mclaren.com/appliedtechnologies for more details
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Keynote: Typelevel - the benefits of collaboration
Featuring Miles Sabin
A lot has happened since Lars Hupel gave his "State of the Typelevel" keynote at last years Scala eXchange. It hasn't always been plain sailing, but the arrival of the Cats project on the scene earlier this year marked the beginning an exciting period of collaboration among the...
scalax scala scala-cats scalacheck shapeless -
Keynote: Without Resilience, Nothing Else Matters
Featuring Jonas Bonér
It doesn’t matter how beautiful, loosely coupled, scalable, highly concurrent, non-blocking, responsive and performant your application is––if it isn't running, then it's 100% useless. Without resilience, nothing else matters.
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Keynote: Scaling Intelligence: moving ideas forward
Featuring Jessica Kerr
Scala is a scalable language. It is scalable in the computer sense, of small programs building into large programs. Does it scale in our mind, as well? There are a lot of ideas expressed in Scala. How do we scale those ideas from conception into full use? For any given idea, one person can't...
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Keynote: Spark+Hadoop and how it relates to Scala
Featuring Sean Owen
Scala seems to be, suddenly, an important language within the Apache Hadoop ecosystem, with the arrival of Scala-based projects like Apache Kafka and Apache Spark -- which is in essence "distributed Scala". In fact, it's not a surprising marriage: Hadoop has been building on...
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Streams: reactive? functional? Or: akka- & scalaz- streams side-by-side
Featuring Adam Warski
During this 'live-coding' presentation, you will implement a couple of stream data processing examples using both the Akka-Stream and Scalaz-stream libraries, introducing their core concepts and highlighting key differences.
streams reactive functional akka-streams scalaz-streams single-node-stream-processing compositionality fp-library live-coding -
Scala and Akka and Docker, oh my!
Featuring Mario Camou
In this talk Mario will show you how to take advantage of Docker containers to ease development, testing and deployment of Scala applications, especially those that are based on Akka.
iot scala akka -
Distributed deep learning
Featuring Jan Machacek
Jan’s talk will continue exploring the latest developments of the Muvr project. He will compare the code from last year’s Scala eXchange, explain what was planned, and how these plans had to change when faced with reality.
muvr-project scala-exchange-2014 akka-cluster akka-persistence apache-spark iot/wearables -
Finch: Your REST API as a Monad
Featuring Vladimir Kostyukov
Finch is a purely-functional library for building composable REST APIs on top of Finagle.
rest-api api finagle finch monad functional-library -
Distributed Data Science with Scala in a Browser
Featuring Xavier Tordoir
While machine learning has been used for decades, accessibility to these methods is undergoing a radical shift, with the rise of simple interfaces and implementations on distributed systems. In practice it means that more players can afford to take advantage of Machine Learning, and at larger...
machine-learning distributed-data-science scala spark-notebook -
4
Lightning Talks 2
Featuring Bas Geerdink, Jeff Smith, Aurelien Waite and Karl Brodowsky
This session will consist of four 15-minute talks by Jeff Smith, Aurelien (Rory) Waite, Bas Geerdnik, and Karl Brodowsky, where the following topics will be covered; numbers, computers, scala, deep learning, spark, statistics models, translation
scala scalax computers