Machine learning, artificial intelligence, data engineering, and architecture are driving the data space.
To successfully implement AI technologies, companies need to take a holistic approach toward retraining their workforces.
What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces.
Speech adds another level of complexity to AI applications—today’s voice applications provide a very early glimpse of what is to come.
Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI.
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.
Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem.
Drawing on 13 years spent building the Chef community, Adam Jacob takes a deep dive into the soul of open source.
VM Brasseur discusses the help new companies need to become authentic members of the free and open source software community.
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
Adrian Cockcroft says the most successful open-source-based businesses have turned their partners and developer communities into force multipliers for their own marketing and engineering teams.
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.
Tiffani Bell shares three lessons she's learned exploring how technology can help the less fortunate.
Kay Williams explores key lessons for building strong open source communities based on Microsoft’s real-world experience with Kubernetes and VSCode.
Alison McCauley looks at how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas.
Pedro Cruz and Brad Topol discuss Call for Code, a global developer competition that uses open source technologies to address natural disasters.
Experts explore the role open source software plays in fields as varied as machine learning, blockchain, disaster response, and more.
Arun Gupta discusses the reasons why AWS is committed to open projects and communities.
A look at how guidelines from regulated industries can help shape your ML strategy.
Climbing Robot, Programming and Programming Languages, Media Player, and Burnout Shops