WTF? What’s the future and why it’s up to us
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.
Exploration and insight on topics that sit at the intersection of business and technology.
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.
Understanding the impact and expanding influence of DevOps culture, and how to apply DevOps principles to make your digital operations more performant and productive.
Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning.
A look ahead at the tools and methods for learning from sparse feedback.
To succeed in digital transformation, businesses need to adopt tools that enable collaboration, sharing, and rapid deployment. Jupyter fits that bill.
A new role focused on creating data products and making data science work in production.
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
Mike Loukides and Ben Lorica examine factors that have made AI a hot topic in recent years, today's successful AI systems, and where AI may be headed.
The what, where, when, and how of unbounded data processing.
A high-level tour of modern data-processing concepts.
What do on-demand services, AI, and the $15 minimum wage movement have in common?
Explore how data analysis will help us structure the business of health care more effectively around outcomes, and personalize medicine for each specific patient.
Empathy, communication, and collaboration across organizational boundaries.
How the IoT is revolutionizing not just consumer goods and gadgets, but manufacturing, design, engineering, medicine, government, business models, and the way we live our lives.
From cognitive augmentation to artificial intelligence, here's a look at the major forces shaping the data world.
The data that drives products is shifting from overt to covert.
The future belongs to the companies and people that turn data into products.