InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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How Airbnb Uses Net Promoter Score to Predict Guest Rebooking
Net Promoter Score (NPS) is a customer loyalty metric used to determine the likelihood that a customer will return to a company's website or use their service again. Airbnb uses NPS extensively in measuring the customer loyalty, as a more effective measurement to determine the likelihood that a customer will return to book again or recommend the company to their friends.
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Hazelcast Version 3.6 Features Performance Improvements and Cloud Management
Hazelcast has released version 3.6 of their flagship in-memory grid and caching software, featuring numerous performance improvements and new cloud management and container deployment options.
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QCon New York Tracks Announcement
QCon New York returns to the New York Marriott at the Brooklyn Bridge June 13-15th. Check out this year's tracks.
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GS Collections Moves to the Eclipse Foundation
InfoQ talks to GS Collections creator Donald Raab about the just announced move of the GS Collections open source framework to the Eclipse Foundation
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Yahoo Open-Sources DataSketches for Faster Operations Over Streams
Yahoo has open-sourced DataSketches, a library written in Java for stochastic streaming algorithms. DataSketches is able to perform traditionally expensive operations, like counting distinct occurrences of a variable within a stream, using a fraction of time and memory and with a predictable error margin.
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New Year's Resolutions, New Talks Posted, & Workshop Registrations Open
Some of this year’s confirmed QCon London sessions include: Survival to Ubiquity: Netflix Global Architecture by Josh Evans; Spring Framework 5 - Preview & Roadmap by Juergen Hoeller; The quest for low-latency with concurrent Java by Martin Thompson.
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Riley Newman on How Airbnb Uses Data Science
Riley Newman, head of data science at Airbnb, recently published an article describing how the Californian startup defines and uses data science. He explains that data can be seen as the voice of the customers, and data science as an act of interpretation. He also details several initiatives that have been particularly important for scaling data science.
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Yahoo! Benchmarks Apache Flink, Spark and Storm
Yahoo! has benchmarked three of the main stream processing frameworks: Apache Flink, Spark and Storm.
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Data Science in F# using FsLab: Interview with Tomas Petricek
FsLab, a collection of F# ooen source libraries for doing Data Science, was released earlier this year, InfoQ reached out with Tomas Petricek, creator of the project, to get more details.
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Facebook Open Sourcing AI Hardware Design
Facebook recently announced open sourcing hardware design for its custom designed Open Rack compatible hardware. Attributing advances in Machine Learning and Artificial Intelligence to richer data sets and more powerful GPU-based systems, Facebook is unveiling its next generation systems code-named “Big Sur”, after the synonymous location in California.
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QCon New York returns for it’s 5th year, June 13 - 17, 2016
The 5th Annual QCon New York, a practitioner-driven conference designed for software architects/tech leads/leaders who influence innovation in their teams, has opened registrations. QCon New York will be held at the Brooklyn Bridge Marriott and has tickets on sale for $1645 through Dec 19th.
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IBM Brings Watson to IoT
IBM has inaugurated the IoT Global Headquarters and will use the Watson technology to analyze and interpret IoT data.
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Eight Dragons of Agile Measurement
Larry Maccherone, Director of Analytics and Research at AgileCraft and frequent speaker at agile conferences like QCon, gave a webinar in which he discusses the major risks and challenges when introducing metrics in an agile environment. Risks are referred as "dragons" and the techniques to get rid of them as "slayers".
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Haskell Can Now Do Strict Evaluation by Default
A new Strict language extension to Haskell aims to make it easier to use Haskell for code that is meant to be mostly strict, i.e., evaluated in a non-lazy manner. The feature was recently merged into GHC’s git HEAD and will be included in GHC’s next release.
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MongoDB Hits 3.2 and Becomes Enterprise Ready
MongoDB recently announced the newest version of its NoSQL database synonymous product. Building upon the new features introduced in 3.0 release, 3.2 is expanding and solidifying MongoDB’s interest towards the corporate world.