The current state of applied data science
Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning.
Deep Dive
Exploration and insight on topics that sit at the intersection of business and technology.
Why continuous learning is key to AI
A look ahead at the tools and methods for learning from sparse feedback.
What is Jupyter?
To succeed in digital transformation, businesses need to adopt tools that enable collaboration, sharing, and rapid deployment. Jupyter fits that bill.
What are machine learning engineers?
A new role focused on creating data products and making data science work in production.
Ideas on interpreting machine learning
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
What is Artificial Intelligence?
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.
Streaming 102: The world beyond batch
The what, where, when, and how of unbounded data processing.
Streaming 101: The world beyond batch
A high-level tour of modern data-processing concepts.
The WTF Economy
What do on-demand services, AI, and the $15 minimum wage movement have in common?
How Data Science Is Transforming Health Care
Explore how data analysis will help us structure the business of health care more effectively around outcomes, and personalize medicine for each specific patient.
What is DevOps (yet again)?
Empathy, communication, and collaboration across organizational boundaries.
What is the Internet of Things?
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.
Big data’s big ideas
From cognitive augmentation to artificial intelligence, here's a look at the major forces shaping the data world.
The evolution of data products
The data that drives products is shifting from overt to covert.
What is data science?
The future belongs to the companies and people that turn data into products.