Session management with microservices
Considerations for moving your web app from a monolith to microservice architecture.
Ideas
What's on our radar.
Making AI transparent
The O'Reilly Podcast: Andy Hickl on sources of bias in artificial intelligence—and how to address them.
Four short links: 2 June 2017
Bitcoin Miners, Facebook Not Open, Pinboard Wins, and Data Sketching
Jupyter Insights: Tim Gasper, director of product and marketing at Bitfusion
Getting started with data science, Jupyter as shareable hub, and JupyterLab adoption.
Jason Hibbets on open source cities
The O’Reilly Programming Podcast: Applying open source practices beyond software.
The machine learning paradox
Nothing says machine learning can't outperform humans, but it's important to realize perfect machine learning doesn't, and won't, exist.
Yes, and... Moving beyond the culture of "no"
The benefits of employing an improvisational comedy tool in security communication.
Understanding container networking
Five questions for Lee Calcote on the scaling and performance of container architectures.
The power of scriptable load balancers
Five questions for Emil Stolarsky on moving logic to the edge of your systems.
Defensive computing
The tools of defensive computing, whether they involve mascara and face paint or random autonomous web browsing, belong to the harsh reality we've built.
Jupyter Digest: 30 May 2017
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
Jupyter Insights: Carol Willing, director of the Python Software Foundation
Jupyter as a learning tool, the JupyterHub Project, and Music21.
Intelligent Bits: 26 May 2017
Sukiyaki in French style, brick-and-mortar conversion tracking, route-based pricing, and technological productivity.
Running a word count application using Spark
How to use Apache Spark’s Resilient Distributed Dataset (RDD) API.
Peeking into the black box: Lessons from the front lines of machine-learning product launches
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.
Is finance ready for AI?
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Lessons from piloting the London Office of Data Analytics
Eddie Copeland explores how the London Office of Data Analytics overcame the barriers to joining, analyzing, and acting upon public sector data at city scale.
Using AI to create new jobs
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
Enabling data science in the enterprise
Tom Smith explains how the UK's Office of National Statistics is using data science to create repeatable, accurate, and transferable statistical research.
Accelerate analytics and AI innovations with Intel
Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
Data science and deep learning in retail
The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products.
Travis Lowdermilk and Jessica Rich on building a customer-driven culture at Microsoft
The O’Reilly Design Podcast: What makes healthy teams healthy, being customer obsessed, and design and research at Microsoft.
JupyterLab: The evolution of the Jupyter web interface
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
Jason Laska and Michael Akilian on using AI to schedule meetings
The O’Reilly Bots Podcast: The technical and social dynamics of solving scheduling problems.
Highlights from Strata Data Conference in London 2017
Watch highlights covering data-driven business, data engineering, machine learning, and more. From Strata Data Conference in London 2017.
Machine learning is a moonshot for us all
Darren Strange asks: What part will we each play in what is sure to be one of the most exciting times in computer science?
The data subject first?
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
The science of visual interactions
Miriam Redi investigates how machine learning can detect subjective properties of images and videos, such as beauty, creativity, and sentiment.
Another one bytes the dust
Using the music industry as an example, Paul Brook shows how modern information points bring new data that changes the way an organization will make decisions.
Real-time intelligence gives Uber the edge
M. C. Srivas covers Uber's big data architecture and explores the real-time problems Uber needs to solve to make ride sharing smooth.
What Kaggle has learned from almost a million data scientists
Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used.
12 qualities of effective design organizations
Learn what it takes to make the most of your design team.
Kelly Shortridge on overcoming common missteps affecting security decision-making
The O’Reilly Security Podcast: How adversarial posture affects decision-making, how decision trees can build more dynamic defenses, and the imperative role of UX in security.
5 things to learn before learning React
Level up your skills set before diving into React.
Reliability with Kafka
Five questions for Gwen Shapira about how Kafka can enable business agility.
Jupyter Digest: 22 May 2017
TensorFlow cookbook materials, source notebooks, Python lectures, and Software Carpentry.
Intelligent Bits: 19 May 2017
AutoML, AI photo editing, AI product studio, and Apple and dark data.
How to write a sound hypothesis when conducting user research
Cindy Alvarez outlines the components of a hypothesis and shares examples of successful and unsuccessful hypotheses.
How AI is used to infer human emotion
Rana el Kaliouby discusses the techniques, possibilities, and challenges around emotion AI today.
Paris Buttfield-Addison on what’s new in Swift programming
The O’Reilly Programming Podcast: Applying the latest language features to build video games and containerized microservices.
Using Docker in production
Five questions for Laura Frank about orchestration, security, and beyond.
The stages of enterprise IoT adoption
Teresa Tung on building a business case for the Internet of Things.
Augmenting industrial reality
Integration tools and vision systems represent two developments in enterprise AR that point to bigger things to come.
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.
Jupyter Digest: 15 May 2017
TSFRESH, 100 days of algorithms, how JupyterHub tamed big science, colorizing photos.
Understanding the Kubernetes ecosystem
Five Questions for Sebastien Goasguen about Kubernetes and the cloud native tools that support it.
Intelligent Bits: 12 May 2017
Medical ImageNet, NVIDIA GTC, corporate responsibility in tech, online pricing
Ask more questions
Saron Yitbarek explores examples of technical projects in education, health, and grassroots political activism that moved too fast.
2017 O'Reilly Open Source and Frank Willison Awards
The O’Reilly Open Source Awards honor exceptional contributions to open source software. The Frank Willison Memorial Award recognizes outstanding contributions to the Python community.
Half my life spent in open source
Brad Fitzpatrick shares wisdom and anecdotes from his open source experiences.
Open source and open standards in VR
Stephanie Hurlburt explains why an open ecosystem is essential for the survival of virtual reality.
We the people ... are open source
Zaheda Bhorat talks about open source at Amazon Web Services (AWS) and takes you through highlights of her journey to AWS.
Language understanding remains one of AI’s grand challenges
The O’Reilly Data Show Podcast: David Ferrucci on the evolution of AI systems for language understanding.
Matt LeMay on the four principles of product management
The O’Reilly Design Podcast: The connective nature of product management, “no work above, no work below,” and the importance of talking to people who aren’t your customers.
Chris Messina on Facebook as a utility
The O’Reilly Bots Podcast: The social impact of Facebook.
Why separating the signal from the noise is key for modern web developers
Five questions with Cory House: On building a JavaScript development environment, getting started with React, and gaining new skills as a developer.
Why choose open infrastructure?
Source code management, CI pipelines, and IaaS have open alternatives, but most projects are developed on proprietary infrastructure. Christopher Aedo explains how to make open choices.
Step 1: Punch a tree
How Evan Booth's adventures in real-world transmogrification have shaped his perspective on open source hardware, manufacturing, and finding potential in the unremarkable.
Highlights from the O'Reilly OSCON Conference in Austin 2017
Watch highlights covering open source, open infrastructure, the business of open source, and more. From the O'Reilly OSCON Conference in Austin 2017.
Open Source contribution and collaboration: How (and why) Netflix drives industry engagement
Dianne Marsh explains how open source contributed to Netflix's success, and vice versa.
The power of the open source ecosystem
Ying Xiong discusses the fast-growing open source market in China.
Rebuilding trust through blockchains and open source
Brian Behlendorf looks at how open source software and the blockchain offer models for building trust in your systems.