Data science: A view from the White House
DJ Patil and Lynn Overmann offer a look at how data science and open data are put to use by the White House.
Data
Our take on the ideas, information, and tools that make data work.
From big data to human-level artificial intelligence
What explains the gap between what machines do well and what people do well? And what needs to happen before machines can match the flexibility and power of human cognition?
Hadoop in the cloud: A Nielsen use case
Cloudera CEO Tom Reilly and Nielsen Global CTO James Powell discuss the dynamics of Hadoop in the cloud, what to consider at the start of the journey, and how to implement a solution that delivers flexibility and meets enterprise requirements.
The new dynamics of big data
Mike Olson discusses the new dynamics of big data and how a renewed approach focused on where, who, and why can lead to cutting edge solutions.
U.S. venture: Risk, values, founder outcomes
Susan Woodward discusses venture outcomes—what fraction make lots of money, which just barely return capital, and which fraction fail completely
Transforming health care through precision data science: Myths & facts
Sriram Vishwanath outlines areas where data science can have a significant impact on health care, and dispels myths where data science use contradicts realities within the health care ecosystem.
What is hardcore data science—in practice?
The anatomy of an architecture to bring data science into production.
Data architectures for streaming applications
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications, Scala and Spark, and cloud computing.
Data science for humans and data science for machines
The O’Reilly Data Show Podcast: Michael Li on the state of data engineering and data science training programs.
2016 Data Science Salary Survey
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
The importance of emotion in AI systems
The O’Reilly Data Show Podcast: Rana el Kaliouby on deep learning, emotion detection, and user engagement in an attention economy.
The New Artificial Intelligence Market
Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now.
Building human-assisted AI applications
The O’Reilly Data Show Podcast: Adam Marcus on intelligent systems and human-in-the-loop computing.
On complexity in big data
Why big data isn’t easy, cheap, or quick.
Enabling enterprise adoption of AI technologies
The O’Reilly Data Show Podcast: Jana Eggers on building applications that rely on synaptic intelligence.
There’s nothing magical about learning data science
The top 5 habits of a professional data scientist.
From image recognition to object recognition
The FusionNet deep learning architecture tackles three-dimensional objects with underlying architectures that “think” in three dimensions.
Using Agile development techniques for data science projects
The O’Reilly Data Show Podcast: John Akred on building data platforms and enterprise data strategies.
Data and electric power
Sean Patrick Murphy describes how data science is helping electric utilities make sense of a stochastic world filled with increasing uncertainty, and reviews several cutting-edge tools for storing and processing big data.
Commercial speech recognition systems in the age of big data and deep learning
The O’Reilly Data Show Podcast: Yishay Carmiel on applications of deep learning in text and speech.
Building intelligent applications with deep learning and TensorFlow
The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks.
Hybrid transactional/analytic systems and the quest for database nirvana
The O’Reilly Data Show Podcast: Rohit Jain on the challenges of hybrid data management systems.
Keynotes from Strata + Hadoop World in London 2016
Watch full keynotes covering AI, data science, data tools, and more. From Strata + Hadoop World in London 2016.
Using AI to build a comprehensive database of knowledge
The O’Reilly Data Show Podcast: Mike Tung on large-scale structured data extraction, intelligent systems, and the importance of knowledge databases.