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A Team's Transformation from Software Development to ML: Golestan Radwan at QCon NY
As companies start to add Big Data and Machine Learning initiatives to their project portfolios, they face several challenges including the teams' transition from software engineering to data engineering and machine learning. Golestan "Sally" Radwan spoke at QCon New York 2018 Conference about her experience in leading a traditional software engineering team on a machine learning/AI journey.
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Distributed Messaging Framework Apache Pulsar 2.0 Supports Schema Registry and Topic Compaction
The latest version of open-source distributed pub-sub messaging framework Apache Pulsar enables companies to move “beyond batch” by acting on data in motion. Streamlio recently announced the availability of Apache Pulsar 2.0 streaming messaging solution. The new version supports Pulsar Functions, Schema Registry and Topic Compaction.
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eBay's Accelerator Data Processing Framework Provides Parallel Execution and Live Recommendations
eBay's Accelerator data processing framework provides parallel execution and automatic organization of source code, input data, and results. It can be used for data analysis, and algorithm development, as well as a live recommendation system.
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PayPal's Gimel Analytics Platform Provides Unified Data API and GSQL
Romit Mehta and Deepak Chandramouli from PayPal spoke at the recent QCon.ai Conference about Gimel data analytics platform and how it can be used to commoditize data access. InfoQ spoke with Mehta and Chandramouli about the data platform and its support in the areas of security,
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Dataiku's Latest Release Integrates Deep-Learning for Computer Vision
Collaborative data science platform Dataiku's latest release of its Data Science Studio includes pre-trained deep learning models for image processing. The DSS platform implements each step of a data-science project from data-sourcing and visualization to production deployment. Its machine-learning module supports standard libraries and it integrates with Hadoop and multiple Spark engines.
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Fighting Financial Fraud with Machine Learning at Airbnb
Airbnb, the online marketplace that matches people who rent out their homes with people who are looking for a place to stay, uses machine learning (ML) techniques to fight financial fraud. They use targeted friction to battle the chargebacks while minimizing impact to good guests using their online reservation system.
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XebiaLabs Announce DevOps Intelligence Engine
XebiaLabs, the developers of Continuous Delivery and DevOps tooling XL Release and XL Deploy, has announced availability of the first release of XL Impact, a goal-based, data-driven recommendation and decision making tool for DevOps organisations. XebiaLabs claims this is the first tool of its kind and the capability is essential for organisations to prove DevOps performance improvements.
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Confluent Releases KSQL, a Distributed Streaming SQL Engine for Apache Kafka
Confluent released KSQL: interactive, distributed streaming SQL engine for Apache Kafka. KSQL supports stream processing operations like aggregations, joins, windowing, and sessionization on topics in Apache Kafka. Confluent announced the open source streaming SQL engine at the recent Kafka Summit conference.
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Microsoft Updates AI Services and Tools for Data Scientists and Developers
At the recent Ignite conference, Microsoft released several updates related to its Artificial Intelligence (AI) services and tools. These updates include the release of the Azure ML Experimentation service, Azure ML Model Management service, Azure ML Workbench and the general availability of Microsoft Cognitive Services.
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Q&A with Andrew Brust of Datameer Regarding Big Data's Role in AI
Rags Srinivas talks to Datameer's Andrew Brust about the larger role of Big Data in AI and how it's operationalized with SmartAI.
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Microsoft Updates Azure IoT Platform: Adds Connectivity, Time Series Insights and Edge Analytics
Microsoft has recently made some announcements regarding their Internet of Things (IoT) capabilities within Azure. Microsoft’s news includes adding a new service called Azure Time Series Insights, additional connectivity platform support for OPC UA/DA and Azure Stream Analytic support on edge devices. In addition, Microsoft also announced a new SaaS-based IoT Solution called Azure IoT Central.
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Data Preparation Pipelines: Strategy, Options and Tools
Data preparation is an important aspect of data processing and analytics use cases. Business analysts and data scientists spend about 80% of their time gathering and preparing the data rather than analyzing it or developing machine learning models. Kelly Stirman spoke last week at Enterprise Data World 2017 Conference about the data preparation best practices.
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How 3rd Party Tools Nearly Killed Performance (and Culture) at Adidas
How the shoe and clothes giant manufacturer's IT tamed an out-of-control proliferation of third party tools in their global websites which was killing performance. Furthermore, this led to a blame culture setting in between business and IT. A new third party governance process focusing on performance data and user experience validation was key to stop the bleeding.
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Mathieu Ripert on Instacart's Machine Learning Optimizations
Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.
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AFK-MC² Algorithm Speeds up k-Means Clustering Algorithm Seeding
“Fast and Probably Good Seedings for k-Means” by Olivier Bachem et al. was presented on 2016’s Neural Information Processing Systems (NIPS) conference and describes AFK-MC2, an alternative method to generate initial seedings for k-Means clustering algorithm that is several orders of magnitude faster than the state of art method k-Means++.