Automated Coding and the Future of Programming
How automation is likely to change professional software development.
How automation is likely to change professional software development.
Getting curious about the numbers attached to other people can help us to use data wisely—and to see others clearly.
Companies that succeed will protect, fight for, and empower their users
A product manager for AI does everything a traditional PM does, and much more.
Your models are only as good as your data.
Leaders highlight the importance of continuous improvement, applying lessons from technology processes, and striving for humility.
Immediate actions you can take to ensure business continues.
Create a culture that motivates talented individuals to partner with you to create long-term success for your organization.
Rob Thomas and Tim O’Reilly discuss the AI Ladder framework.
Across enterprise sectors, blockchain technology is evolving the way business is done.
Understanding and fixing problems in ML models is critical for widespread adoption.
It’s clear that AI can and will have a big influence on how we develop software.
Five strategies to harness the power of your company's talent pool.
Dean Wampler discusses the challenges and opportunities businesses face when moving AI from discussions to production.
A look into what robotic process automation (RPA) is, why it matters, and why it’s garnered so much recent interest.