The wisdom hierarchy: From signals to artificial intelligence and beyond
A framework for moving from data to wisdom.
Data science
Data science ideas and resources.
R’s tidytext turns messy text into valuable insight
Authors Julia Silge and David Robinson discuss the power of tidy data principles, sentiment lexicons, and what they're up to at Stack Overflow.
A lesson in prescriptive modeling
Simulate new business models and practices with open source code.
Data science startups focus on AI-enabled efficiency
Recapping winners of the Strata San Jose Startup Showcase.
Building data-informed products
Stewart Rogers on building and managing products with embedded analytics.
Data in its natural format
Integrate and access any form of data using a multi-model database.
Under the hood of machine learning
Exploring a reference architecture solution.
Integrating across silos with operational data hubs
The O'Reilly Podcast: Ken Krupa on the challenge of data integration, and a solution.
Architecting actionable insights
Bas Geerdink details the technology stack for real-time account forecasting at ING, and outlines how Spark is used for outbound communications.
The business advantages of embedding analytics into applications
Access to critical data in real time enables workers to generate insights from large amounts of information.
Tips for managing metadata in a data lake
Metadata is central to a modern data architecture.
The rise of autonomous data platforms
A possible solution to the complexities that plague big data projects.
How Pinterest uses humans in the loop to analyze clusters
June Andrews talks about simple, cost-effective algorithmic computing at scale.
Stitching data processing engines at Netflix
Kurt Brown discusses services in use, such as Genie, Metacat, Charlotte, and Microbots.
Smart cities are safe and efficient cities
There’s money to be made in exhaust data (not just data exhaust).
A look at deep learning for science
Scientific use cases show promise, but challenges remain for complex data analytics.
Making good robots
Andra Keay discusses the five laws of robotics design.
Ray: A distributed execution framework for emerging AI applications
Michael Jordan on developing a new platform to support real-time decision-making.
How big, fast data is transforming business intelligence
O'Reilly Podcast: Ian Fyfe of Zoomdata on the importance of “speed-of-thought analysis” in modern data environments.
Practical data cleaning with Python
Tips and tools for data janitors.
From enterprise service bus to microservices
The present and future of data integration in the cloud.
5 tips for embracing open data science in the enterprise
Transform the way you approach analytics.
Ideas on interpreting machine learning
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
Drawing a map of distributed data systems
How we created an illustrated guide to help you find your way through the data landscape.