Driving enterprise open source adoption, from data lake to AI
Ron Bodkin explains how Teradata encourages open source adoption within enterprises.
Data
Our take on the ideas, information, and tools that make data work.
Big data, AI, the genome, and everything
Vijay Narayanan explains how cloud, data, and artificial intelligence are accelerating the genomic revolution.
Collaboration in AI benefits humanity
Jason Waxman says collaboration between industry, government, and academia is needed to deliver on the promise of AI.
Turning the internet upside down: Driving big data right to the edge
Ted Dunning says the internet of things is turning the internet upside down, and the effects are causing all kinds of problems.
Machines and the magic of fast learning
Eric Frenkiel looks at advanced tools and use cases that demonstrate the power of machine learning to bring about positive change.
Personalization’s big question: Why am I seeing this?
Sara M. Watson from Digital Asia Hub discusses the state of personalization and how it can become more useful for consumers.
Drinking from the industrial IoT data fire hose
Careful choices in data collection and architecture can reduce burdens.
Shared nothing architectures: Giving Hadoop’s data processing frameworks scalability and fault tolerance
A look at the tools and patterns for accessing and processing data in Hadoop.
Connected eyes
Will machine learning give us better eyesight? Joseph Sirosh offers a surprising story about how machine learning, population data, and the cloud are coming together to reimagine eye care in India.
Business insights driven by speed
Todd Brannon says the need for performance crosses the big data ecosystem—from the edge, to the server, to the analytics software.
Google BigQuery for enterprise
Chad Jennings demonstrates BigQuery's capabilities and announces several new features.
SAS: More open than you might think
Paul Kent offers an overview of SAS’s participation in open platforms and introduces a new open analytics architecture.
Bring data to life with immersive visualization
We live in a 3D world and we need to enable data interaction from all perspectives. Immersive visualization does just that.
Decision 2016: What is your data platform?
What’s good for the country is good for your data. Consider what the next four years will look like for your organization.
Driving open source adoption within the enterprise
Ron Bodkin explains how Teradata spurs open source adoption inside enterprises through a range of initiatives.
Modern analytics with Dell EMC
With your most precious commodity, data, increasing at an alarming rate, it is essential that it be a component to your deepest insights.
Collaboration and openness drive innovation in artificial intelligence
The power of AI and advanced analytics is realized from the ability to analyze and compute large data sets from varied devices and locations. Learn how collaboration and openness are key elements driving this innovation.
Strata + Hadoop World in New York 2016 livestream
Watch keynotes from Strata + Hadoop World in New York City.
Reducing Risk in the Petroleum Industry
Learn the challenges oil and gas companies face when collecting data and how they mitigate short-term operational risk and optimize long-term reservoir management.
Analyzing and visualizing data with F#
Learn how to get more out of your data with real-world examples using the powerful F# programming language.
Upcoming live training: Data
O'Reilly's live training events offer instructor-led, hands-on courses, with an emphasis on the social aspects of learning.
Wrangle your data with Python
Learn techniques for programmatically acquiring data and how to extract that data.
Easy, reproducible reports with R
Garrett Grolemund demonstrates how to use R Markdown to combine code and text into a single .Rmd file to generate polished reports automatically in a variety of formats.
Local Interpretable Model-Agnostic Explanations (LIME): An Introduction
A technique to explain the predictions of any machine learning classifier.