The real project of AI ethics
Joanna Bryson says AI's main threat is not that it will do anything to us, but that we'll use it to predict and manipulate our behaviors.
Data
Our take on the ideas, information, and tools that make data work.
Human-AI interaction: Autonomous service robots
Manuela Veloso provides an overview of the CoBot mobile service robots and their symbiotic autonomy, which lets the robots ask for help to overcome their limitations.
Your data is being manipulated
danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.
WTF? What’s the future and why it’s up to us
Tim O'Reilly says entrepreneurs need to set their sights on how we can use big data, sensors, and AI to create amazing human experiences and the economy of the future.
Transforming organizations through analytics centers of excellence
The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies.
Wild, wild data: Adventures with big data and the IoT in the Angolan highlands
Jer Thorp talks about swimming upstream to the point where data becomes data.
Music, the window into your soul
Ever wondered how Spotify seems to know what you want? Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business.
Data science for the most vulnerable at UNICEF Innovation
Manuel García-Herranz explains how to apply advances in data science, complex systems, artificial intelligence, and computational sociology to help the most vulnerable.
Highlights from Strata Data Conference in New York 2017
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata Data Conference in New York 2017.
Journey to consolidation
Cesar Delgado joins Mike Olson to show how Apple is using its big data stack and expertise to solve non-data problems.
White collar crime risk zones
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that predicts financial crime at the city-block level.
The age of machine learning
Ben Lorica discusses the state of machine learning.
You need an Analytics Center of Excellence
Learn how to add big data to your organization's business processes.
Query the planet: Geospatial big data analytics at Uber
A deep dive into Uber's engineering effort to optimize geospatial queries in Presto.
The state of machine learning in Apache Spark
The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark.
Solving real-world business problems with computer vision
Applications of CNNs for real-time image classification in the enterprise.
Effective mechanisms for searching the space of machine learning algorithms
The O’Reilly Data Show Podcast: Kenneth Stanley on neuroevolution and other principled ways of exploring the world without an objective.
Making science happen faster
Jeremy Freeman describes a growing ecosystem of scientific solutions, many of which involve Jupyter.
Design for reproducibility
Lorena Barba explores how we can build a capacity to support reproducible research into the design of tools like Jupyter.
Jupyter at O’Reilly
Andrew Odewahn explains how O’Reilly Media applied the Jupyter architecture to create the next generation of technical content.
The give and take of open source
Brett Cannon looks at how healthy expectations can maintain a balanced relationship between open source users and project maintainers.
Where money meets open source
Nadia Eghbal explores how money can support open source development without changing its incentives.
Highlights from JupyterCon in New York 2017
Watch highlights covering Jupyter notebooks, data management, collaborative data science, and more. From JupyterCon in New York 2017.
Project Jupyter: From interactive Python to open science
Fernando Perez explains how Project Jupyter fits into a vision of collaborative development of tools that are applicable to research, education, and industry.