Rob Thomas and Tim O’Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs.
What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces.
Innovation has the power to change industries, but new technology doesn’t always mean you need a new business model.
Tim O’Reilly explains how we can “gradually, then suddenly” create a better world.
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.
Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.
The economy we want to build must recognize increasing the value to and for humans as the goal.
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.
Tim O'Reilly looks at how we can extend the values and practices of open source in the age of AI, big data, and cloud computing.
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
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.
Tim O'Reilly says the algorithms that shape our economy must be rewritten if we want to create a more human-centered future.
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.
The biggest challenges for companies trying to reinvent themselves come from an inability to imagine a different way of doing things.
How I traced the falsity of one internet meme, and what that teaches us about how an algorithm might do it.
We have to change the incentives that encourage companies to choose boosting their stock price over investing in people and the real economy.
The problem of fake news and bad sites trying to game the system is an industry-wide problem — companies should share data and best practices in the effort to combat it.
If we let machines put us out of work, it will be because of a failure of imagination and a lack of will to make a better future. (Full text, video, and slides from Tim O'Reilly's talk at the White House Frontiers Conference.)
Tim O’Reilly, Laura Baldwin, and Jake Schwartz discuss advances in just-in-time corporate education and how companies and their staffs can keep up with the pace of change.
Tim O’Reilly, Reid Hoffman, and James Manyika discuss the struggles of forecasting the 21st-century economy.
It's time to recognize that it's not government versus the market—government and our market system are the ultimate public-private partnership.
The success of the Amazon Echo’s speech interface shows there's an opportunity for someone to build a completely new mobile operating system.
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.
Algorithms shape choice not just for consumers but for businesses.
Artificial intelligence isn't just about replacing humans with computers; the best managers will find ways to use AI to augment their workers. In this video, a compilation of clips from the O'Reilly Next:Economy Summit 2015, Tim O'Reilly talks with AI leaders who see an essential role for humans in the AI-enabled world.
Alexa shows what’s possible when conversational interfaces just work.
The British have a way of turning their backs on their greatest innovations.
Our current economic rules encourage the allocation of gains to consumers and financial shareholders, and the losses to workers and taxpayers. It doesn’t have to be that way.
If we let machines put us out of work, it will be because of a failure of imagination and the will to make a better future.
Exploring the rise of conversational interfaces, how AI will change the way programmers create software, and open source tools for AI and machine learning.
A conversation about Universal Basic Income with John Maynard Keynes and Paul Buchheit.
Announcing the second annual Next:Economy Summit.
We have to stop telling ourselves that we are forced by the market to outsource jobs—we have a choice.
How to spot a Next:Economy company.
Sports show us the impact a superstar can have on the success of a team. But it's the team with the most superstars that wins.
There’s another kind of unicorn: The breakthrough, once remarkable, that becomes taken for granted
Should algorithmic pricing be the norm rather than the exception?
Retailers face another existential threat.
Managers and workers benefit when both have access to data and control.
A look at the economic shift led by software and connectedness.
What do on-demand services, AI, and the $15 minimum wage movement have in common?
From Solid Conference 2015: O'Reilly Media founder Tim O'Reilly talks to Megan Smith, CTO, United States Government.
Explore how data analysis will help us structure the business of health care more effectively around outcomes, and personalize medicine for each specific patient.
The network, new data capabilities, and mobile devices rich in sensors have created fresh and unconventional possibilities to rethink workflows and processes in the real world.
Truly disruptive services don’t just digitize the familiar. They do away with it.
The failure of healthcare.gov was a textbook DevOps (or rather, lack of DevOps) case study. But it’s part of a wider pattern that reminds us that people should be at the heart of everything we build. In fact, getting the “people” part right is the key both to DevOps and great user experience design.
The IoT requires thinking about how humans and things cooperate differently when things get smarter.
A candid post about some of the things that kept me, my employees, and our company from achieving our full potential.
When you put your clothes in the dryer, the energy you use is measured and counted, but when you hang them on the line, they disappear from the measured economy