How architecture evolves into strategy
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.
Deep Dive
Exploration and insight on topics that sit at the intersection of business and technology.
Data’s day of reckoning
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
The five Cs
Five framing guidelines to help you think about building data products.
Of oaths and checklists
Oaths have their value, but checklists will help put principles into practice.
What machine learning means for software development
“Human in the loop” software development will be a big part of the future.
Doing good data science
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
Steering around blockchain hype
When we finally find the best use cases for blockchains, they may look like nothing we would have expected.
What is a blockchain?
Unpacking the complexity of blockchain, term by term.
Planning for AI
What you need know before committing to AI.
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.
The evolution of DevOps
Understanding the impact and expanding influence of DevOps culture, and how to apply DevOps principles to make your digital operations more performant and productive.
The current state of applied data science
Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning.
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.