Ask the CTO: Defeat micromanagement by trusting more and controlling less
Let the systems and your team do the work.
Ideas
What's on our radar.
The Industrial Internet of Things: Why you need to get up to speed fast
Start planning now to reap the many benefits of connected manufacturing.
Four short links: 3 October 2016
Deep-Fried Data, Myth History, Shadow Regulation, and Inside an AI Startup
Highlights from Strata + Hadoop World in New York 2016
Watch highlights covering data science, big data, data in the enterprise, and more. From Strata + Hadoop World in New York 2016.
What we take for granted: Examining the barriers to contributing to open source
Saron Yitbarek explains how socioeconomic status, location, education, and other factors affect the likelihood of being able to contribute to the open source community.
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?
Connected eyes
Will machine learning give us better eyesight? Joseph Sirosh offers a surprising story about how machine learning, population data, and the cloud are coming together to reimagine eye care in India.
Inbox is the Trojan horse of AI
Alistair Croll looks at the sometimes surprising ways that machine learning is insinuating itself into our every day lives.
Google BigQuery for enterprise
Chad Jennings demonstrates BigQuery's capabilities and announces several new features.
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.
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.
Business insights driven by speed
Todd Brannon says the need for performance crosses the big data ecosystem—from the edge, to the server, to the analytics software.
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Bring data to life with immersive visualization
We live in a 3D world and we need to enable data interaction from all perspectives. Immersive visualization does just that.
SAS: More open than you might think
Paul Kent offers an overview of SAS’s participation in open platforms and introduces a new open analytics architecture.
The tech behind the biggest journalism leak in history
Mar Cabra explains how technology made the Panama Papers investigation possible.
What should Alexa do?
The success of the Amazon Echo’s speech interface shows there's an opportunity for someone to build a completely new mobile operating system.
Why you need another database
An analytics database can offer performance and scalability advantages.
Tom Greever on articulating design decisions
The O’Reilly Design Podcast: The CEO button, an IDEAL framework, and converting likes into works.
Lili Cheng on bot personalities
The O’Reilly Bots Podcast: Group interaction through social computing.
Concurrency in modern apps
Thriving in the cloud with horizontal scaling.
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Decision 2016: What is your data platform?
What’s good for the country is good for your data. Consider what the next four years will look like for your organization.
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.
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.
Driving open source adoption within the enterprise
Ron Bodkin explains how Teradata spurs open source adoption inside enterprises through a range of initiatives.
Collaboration and openness drive innovation in artificial intelligence
The power of AI and advanced analytics is realized from the ability to analyze and compute large data sets from varied devices and locations. Learn how collaboration and openness are key elements driving this innovation.
Modern analytics with Dell EMC
With your most precious commodity, data, increasing at an alarming rate, it is essential that it be a component to your deepest insights.
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
Josh Corman on the challenges of securing safety-critical health care systems
The O’Reilly Security Podcast: Where bits and bytes meet flesh, misaligned incentives, and hacking the security industry itself.
Strata + Hadoop World in New York 2016 livestream
Watch keynotes from Strata + Hadoop World in New York City.
Highlights from the O'Reilly AI Conference in New York 2016
Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more. From the O'Reilly AI Conference in New York 2016.
Deep learning at scale and use cases
Naveen Rao outlines deep learning challenges and explores how changes to the organization of computation and communication can lead to advances in capabilities.
Lessons on building data products at Google
Aparna Chennapragada discusses Google's process for developing data products.
Thor’s hammer
Jim McHugh shares real-world examples of companies solving problems once thought unsolvable.
Minds and brains, and the route to smarter machines
Gary Marcus discusses the machine-human connection.
Why AI needs emotion
Rana El Kaliouby explores why emotion in AI is critical to accelerating adoption of AI systems.
Obstacles to progress in AI
Significant progress in AI will require breakthroughs in unsupervised/predictive learning, as well as in reasoning, attention, and episodic memory.
Why we'll never run out of jobs
Tim O’Reilly explains why we can’t just use technology to replace people; we must use it to augment them so they can do things that were previously impossible.
Software engineering of systems that learn in uncertain domains
Building reliable, robust software is hard. It is even harder when we move from deterministic domains, such as balancing a checkbook, to uncertain domains, such as recognizing speech or objects in an image.
Humanizing AI development: Lessons from China and Xiaoice at Microsoft
Lili Cheng discusses the human aspects of artificial intelligence.
How AI is propelling driverless cars, the future of surface transport
Shahin Farshchi examines role artificial intelligence will play in driverless cars.
Artificial intelligence: Making a human connection
Genevieve Bell explores the meaning of “intelligence” within the context of machines and its cultural impact on humans and their relationships.
O'Reilly AI Conference in New York 2016 livestream
Watch keynotes from the O'Reilly artificial intelligence conference in New York City.
Reducing Risk in the Petroleum Industry
Learn the challenges oil and gas companies face when collecting data and how they mitigate short-term operational risk and optimize long-term reservoir management.
2 major reasons why modern C++ is a performance beast
Use smart pointers and move semantics to supercharge your C++ code base.
The challenges of holiday performance readiness
Five important things you can do to survive the holiday rush.
Keynotes from the O'Reilly Velocity Conference in New York 2016
Watch full keynotes covering DevOps, performance, infrastructure, and more. From the O'Reilly Velocity Conference in New York 2016.
Is ad blocking good for advertisers?
Tony Ralph explains why the rise of ad blocking could incite progress in online advertising.
Security at the speed of innovation: Defensive development for a fast-paced world
Kelly Lum shares her experiences maintaining a break-neck pace while still producing hacker-resilient code.
Transforming how the world operates software
The problems around software aren’t all solved and the story isn’t over. What role will you play?
Building bridges with DevOps
Katherine Daniels explains how the principles of effective DevOps environments can be used to create sustainable participation from a wide range of people.
Make performance data–and beyond–accessible
Alois Reitbauer discusses the conversational interface Dynatrace has built to make performance data accessible through natural language questions.
Turning data into leverage
Ozan Turgut discusses how to use visualization and analytics to apply data to decision making.
What is hardcore data science—in practice?
The anatomy of an architecture to bring data science into production.
Haakon Faste on designing for a "post-human" world
The O'Reilly Radar Podcast: perceptual robotics, post-evolutionary humans, and designing our future with intent.
Data architectures for streaming applications
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications, Scala and Spark, and cloud computing.
Andy Mauro on bot platforms and tools
The O’Reilly Bots Podcast: A look at some of the technologies behind the chatbot boom.
Evolving architectures of FinTech
Learn how new FinTech architectures and startups are creating novel types of business models in Africa and Asia, where there are far fewer traditional banks, and in Europe and the US, where financial institutions generally avoid the market for small business loans.
Trends shaping the London tech scene
London's tech scene has not only pervaded all of its world-leading activities, it’s also created a vibrant, independent business environment of its own.
DevOps, collaboration, and globally distributed teams
Ashish Kuthiala presents research-based findings on the factors that play the most important roles in accelerating DevOps adoption.
Situation normal: All fouled up
Richard Cook and David Woods examine the problems and potential in Internet-facing business incident response.
Serverless is other people
Rachel Chalmers explores about what serverless means for security, networking, support, and culture.
Don't gamble when it comes to reliability
How do you stay reliable when you can’t keep the whole system in your head? Tom Croucher discusses Uber's approach to reliability.
We need a bigger goal than collecting data
Mehdi Daoudi challenges business leaders and IT ops professionals to consider the ROI of analyses. How quickly can we get real insights from our data?