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.
Andrew Smith talks about why he learned to code, and the unexpected pleasures he encountered along the way.
Ankur Patel discusses challenges and opportunities in enterprise machine learning and AI applications.
Eric Jonas on AI hype and questions of ethics.
Noah Firth on giving service members and their families a more friendly user experience, and how his team recruits and measures success.
We need to remember that creating fakes is an application, not a tool—and that malicious applications are not the whole story.
Pamela Rucker talks about designing an organization optimized for employee growth.