Highlights from the Strata Data Conference in New York 2018
Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more.
Ideas
What's on our radar.
Video
The future of data warehousing
Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.
Four short links: 12 September 2018
Millibytes, Webpage Bloat, Neuromorphic Computing, and UX Dark Patterns
Video
Preserving privacy and security in machine learning
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
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The missing piece
Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement.
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AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think)
DD Dasgupta explores the edge-cloud continuum, explaining how the roles of data centers and cloud infrastructure are redefined through the mainstream adoption of AI, ML, and IoT technologies.
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The answer to life, the universe, and everything: But can you get that into production?
Ted Dunning discusses how new tools can change the way production systems work.
The real story on container, cloud, and data adoption
Poll results reveal where and why organizations choose to use containers, cloud platforms, and data pipelines.
Progress for big data in Kubernetes
It has become much more feasible to run high-performance data platforms directly inside Kubernetes.
The ethics of data flow
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows.
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The breadth of AI applications: The ongoing expansion
Peter Norvig says one of the most exciting aspects of AI is the diversity of applications in fields far astray from the original breakthrough areas.
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AI and security: Lessons, challenges, and future directions
Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.
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Accelerating AI on Xeon through SW optimization
Huma Abidi discusses the importance of optimization to deep learning frameworks.
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A new golden age for computer architecture
David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.
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Customized ML for the enterprise
Levent Besik explains how enterprises can stay ahead of the game with customized machine learning.
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Connected arms
Joseph Sirosh tells an intriguing story about AI-infused prosthetics that are able to see, grip, and feel.
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Four success factors for building your AI business journey
Manish Goyal shows you how to best unlock the value of enterprise AI.
10 talks to look for at the 2018 O'Reilly Software Architecture Conference in London
From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content.
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AI foundations: What shapes the AI that’s shaping our world?
Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.
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Raising AI to benefit business and society
Kishore Durg explains why deploying AI requires raising it to act as a responsible representative of the business and a contributing member of society.
Highlights from the Artificial Intelligence Conference in San Francisco 2018
Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.
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China: AI superpower
Kai-Fu Lee outlines the factors that enabled China's rapid ascension in AI.
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Fireside chat with Tim O'Reilly and Kai-Fu Lee
Tim O'Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.
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Beyond hype: AI in the real world
Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.
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Using machine learning in workload automation
Akhilesh Tripathi shows you how to use machine learning to identify root causes of problems in minutes instead of hours or days.
How network professionals deal with attacks and disruptions
A new survey highlights concerns from network and cloud administrators, and reveals their coping strategies.
Learn about data governance with these books, videos, and tutorials
This collection of data governance resources will get you up to speed on the basics and best practices.
130+ live online training courses opened for September and October
Get hands-on training in machine learning, blockchain, Java, software architecture, leadership, and many other topics.
Video
How to use data to improve product design
Data can help inform design choices at every step in the process.
Building accessible tools for large-scale computation and machine learning
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning.
Call for Code asks developers worldwide to collaborate on solutions to save lives
The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM.
How to recruit for user research
Tools and techniques for recruiting UX research participants.
Video
Prototyping in practice
How the UK's NHS uses prototyping to explore and illustrate new technological possibilities.
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Sea change: What happens when Jupyter becomes pervasive at a university?
Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email.
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Beyond interactive: Scaling impact with notebooks at Netflix
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
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Democratizing data
Tracy Teal explains how to bring people to data and empower them to address their questions.
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Data science as a catalyst for scientific discovery
Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery.
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Disease prediction using the world's largest clinical lab data set
Cristian Capdevila explains how Prognos is predicting disease.
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Jupyter notebooks and the intersection of data science and data engineering
David Schaaf explains how data science and data engineering can work together to deliver results to decision makers.
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The future of data-driven discovery in the cloud
Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud.
Highlights from JupyterCon in New York 2018
Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018.
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All the cool kids are doing it, maybe we should too? Jupyter, gravitational waves, and the LIGO and Virgo Scientific Collaborations
Will Farr offers lessons about the many advantages and few disadvantages of using Jupyter for global scientific collaborations.
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Jupyter in the enterprise
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
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Jupyter trends in 2018
Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018.
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The reporter’s notebook
Mark Hansen explains how computation has forever changed the practice of journalism.
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Machine learning and AI technologies and platforms at AWS
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
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Sustaining wonder: Jupyter and the knowledge commons
Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others.
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Why contribute to open source?
Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem.
5 automation trends in software development, quantified
Lessons from hundreds of development practice assessments across the industry.
Design patterns for orchestrating collaborative groups
It’s only when you enable people to “do things” together that the real power of online social networks is unleashed.
Video
Great products begin with great cultures
Why hiring a team diverse in perspective and background leads to a great culture.
Enabling reliable, secure collaboration on data science and machine learning projects
A conversation with Paul Taylor, chief architect in Watson Data and AI, and IBM fellow.
The next generation of AI assistants in enterprise
Chatbots are just the first step in the journey to achieve true AI assistants and autonomous organizations.
Simplifying machine learning lifecycle management
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
It's time to establish big data standards
The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
Site reliability engineering (SRE): A simple overview
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources.
Video
Best practices to achieve balance between design and performance
Ways to bring designers and developers together to optimize user experience.
Notes from the first Ray meetup
Ray is beginning to be used to power large-scale, real-time AI applications.
What do computers see?
Tricks to visualize and understand how neural networks see.
3 promising areas for AI skills development
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
A quick reminder on HTTPS everywhere
HTTPS "everywhere" means everywhere—not just the login page, or the page where you accept donations. Everything.
Video
3 core principles of design thinking
How design thinking works, and how it integrates with product development.
Skydeck turns research into reality
UC Berkeley’s startup accelerator takes university research discoveries and helps translate them into marketable products.