Fit and value: The business case for blockchain
Blockchains are poised to catalyze new business models by cutting the costs of verifying truth.
Deep Dive
Exploration and insight on topics that sit at the intersection of business and technology.
How new tools in data and AI are being used in health care and medicine
An overview of applications of new tools for overcoming silos, and for creating and sharing high-quality data.
What is Next Architecture?
Growing adoption of microservices, cloud, containers, and orchestration signal a paradigm shift that we're calling Next Architecture.
RISELab’s AutoPandas hints at automation tech that will change the nature of software development
Neural-backed generators are a promising step toward practical program synthesis.
What are model governance and model operations?
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
The quest for high-quality data
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge.
How AI and machine learning are improving customer experience
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.
Future of the firm
Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
What is O’Reilly Radar?
Radar spots and explores emerging technology themes so organizations can succeed amid constant change.
How architecture evolves into strategy
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.
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.