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Managing machines
Pete Skomoroch covers what you need to know as we shift from a world of deterministic programs to systems that give unpredictable results on ever-changing training data.
Ideas
What's on our radar.
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O’Reilly Radar: Open source technology trends—What our users tell us
Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem.
Four short links: 19 July 2019
Journal Mining, API Use, Better Conversation, and Apollo 11 Source
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Ask not what Brands™ can do for you
VM Brasseur discusses the help new companies need to become authentic members of the free and open source software community.
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O'Reilly Open Source and Frank Willison Awards
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
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The war for the soul of open source
Drawing on 13 years spent building the Chef community, Adam Jacob takes a deep dive into the soul of open source.
Acquiring and sharing high-quality data
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.
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Better living through software
Tiffani Bell shares three lessons she's learned exploring how technology can help the less fortunate.
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The role of open source in mitigating natural disasters
Pedro Cruz and Brad Topol discuss Call for Code, a global developer competition that uses open source technologies to address natural disasters.
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The next age of open innovation
Alison McCauley looks at how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas.
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Why Amazon cares about open source
Arun Gupta discusses the reasons why AWS is committed to open projects and communities.
Highlights from the O'Reilly Open Source Software Conference in Portland 2019
Experts explore the role open source software plays in fields as varied as machine learning, blockchain, disaster response, and more.
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Built to last: Building and growing open source communities
Kay Williams explores key lessons for building strong open source communities based on Microsoft’s real-world experience with Kubernetes and VSCode.
Managing machine learning in the enterprise: Lessons from banking and health care
A look at how guidelines from regulated industries can help shape your ML strategy.
The circle of fairness
We shouldn't ask our AI tools to be fair; instead, we should ask them to be less unfair and be willing to iterate until we see improvement.
Highlights from the O'Reilly Artificial Intelligence Conference in Beijing 2019
Experts explore the future of hiring, AI breakthroughs, embedded machine learning, and more.
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The future of machine learning is tiny
Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and shares new use cases it will unlock.
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Top AI breakthroughs you need to know
Abigail Hing Wen discusses some of the most exciting recent breakthroughs in AI and robotics.
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The future of hiring and the talent market with AI
Maria Zheng examines AI and its impact on people’s jobs, quality of work, and overall business outcomes.
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Toward learned algorithms, data structures, and systems
Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications.
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Data orchestration for AI, big data, and cloud
Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments.
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AI and retail
Mikio Braun takes a look at Zalando and the retail industry to explore how AI is redefining the way ecommerce sites interact with customers.
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AI and systems at RISELab
Ion Stoica outlines a few projects at the intersection of AI and systems that UC Berkeley's RISELab is developing.
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Designing computer hardware for artificial intelligence
Michael James examines the fundamental drivers of computer technology and surveys the landscape of AI hardware solutions.
Tools for machine learning development
The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning.
New live online training courses
Get hands-on training in TensorFlow, AI applications, critical thinking, Python, data engineering, and many other topics.
RISELab’s AutoPandas hints at automation tech that will change the nature of software development
Neural-backed generators are a promising step toward practical program synthesis.
One simple chart: Who is interested in Spark NLP?
As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use.
AI and machine learning will require retraining your entire organization
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce.
Enabling end-to-end machine learning pipelines in real-world applications
The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models.
What are model governance and model operations?
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
The quest for high-quality data
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge.
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Prioritizing technical debt as if time and money mattered
Adam Tornhill offers a new perspective on software development that will change how you view code.
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From the trenches with Rebecca Parsons
Rebecca Parsons shares the story of her career path and her work as an architect.
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Choices of scale
Michael Feathers explores various scaling strategies in light of research about human cognition and systems cohesion.
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The cloud native elephant in the room
Bob Quillin outlines how the cloud native community can reduce complexity, be more inclusive to all teams, and create a more open, multicloud future.
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Infrastructure first: Because solving complex problems needs more than technology
Drawing from technology, finance, sports, social psychology, and complexity theory, Everett Harper looks at the key practices that are crucial for solving our most critical challenges.
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Cultivating production excellence
Liz Fong-Jones says management of complex distributed systems requires changing who's involved in production, how they collaborate, and how success is measured.
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How do we heal?
Drawing inspiration from restorative justice practices and her own journey of healing, Alex Qin offers a hopeful vision for how we can come together and co-create the world we yearn for.
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Kubernetes for the impatient
Bridget Kromhout looks over the cloud native landscape and talks about what’s new, what’s next, and what you need to get started with Kubernetes right now.
Highlights from the O'Reilly Software Architecture Conference in San Jose 2019
Experts explore software architecture security, design heuristics, Next Architecture, and more.
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Security and deception: Lessons from a professional liar
Michael Carducci takes an entertaining look at why humans are so easy to fool, and he explores what we can do to overcome our weaknesses and build more secure software.
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Architect as storyteller
Nathaniel Schutta explains why an architect’s job is to be a storyteller.
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Cultivate your personal design heuristics
Rebecca Wirfs-Brock explores how you can grow as a designer by becoming conscious of your heuristics.
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Next Architecture
Chris Guzikowski discusses the convergence of microservices, cloud, containers, and orchestration that points toward the rise of a Next Architecture.
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Scaling teams with technology (or is it the other way around?)
Chen Goldberg shares how Kubernetes, Istio, GKE, and Anthos can help build distributed systems and happy teams.
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The SRE I aspire to be
Yaniv Aknin dives into the secret sauce for a successful SRE organization: high-quality measurements of reliability.
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From puzzles to products
Jessica Kerr argues that most programming careers aren’t about writing software, they’re about changing it.
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Channel into the universe of eventually perfect distributed systems
Modern distributed systems are immensely different from distributed systems of just a decade ago. Lena Hall looks at how our approaches and practices progress with time.
Highlights from the O'Reilly Velocity Conference in San Jose 2019
Experts explore cloud native infrastructure, SRE, distributed systems, and more.
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Community projects inform enterprise products
Lachlan Evenson and Bridget Kromhout discuss the journey to build Gatekeeper, a community-driven approach for enforcing policy on any Kubernetes cluster.
AI adoption is being fueled by an improved tool ecosystem
We now are in the implementation phase for AI technologies.
How to get started with site reliability engineering (SRE)
Google SRE Stephen Thorne shares best practices for starting an SRE team at your company.
Maximizing paper clips
We won’t get the chance to worry about artificial general intelligence if we don’t deal with the problems we have in the present.
Bringing scalable real-time analytics to the enterprise
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data.
What’s driving open source software in 2019
Cloud native, AI/ML, and data tools and topics are areas of emphasis for the O’Reilly Open Source Software Conference.
Reduce toil through better alerting
How SREs can use a hierarchy for mature alerts.
Applications of data science and machine learning in financial services
The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China.
Becoming a machine learning company means investing in foundational technologies
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
The topics to watch in software architecture
Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.
How AI and machine learning are improving customer experience
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.
Making Facebook a scapegoat is a mistake
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Toward the next generation of programming tools
Programmers have built great tools for others. It’s time they built some for themselves.