AI and Machine Learning
Stop Deploying AI. Start Designing Intelligence
Stephen Wolfram’s philosophical insights on computation offer actionable principles for designing intelligence environments that achieve lasting value from AI.
& Machine Learning
Latest
AI and Machine Learning
Avoid ML Failures by Asking the Right Questions
Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.
Dusan Popovic, Shreyas Lakhtakia, Will Landecker, and Melissa Valentine
AI and Machine Learning
What Leaders Should Know About Measuring AI Project Value
Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.
Eric Siegel
AI and Machine Learning
Sound Business: The Promise of Audio Machine Learning Technologies
New machine learning technologies offer potential value creation through sound detection, analysis, and creation.
Mark Purdy
Data, AI, & Machine Learning
Want More Clarity on Generative AI? Experiment Widely
Figuring out the right approaches to generative AI is a process replete with ambiguity, experiments, and changes of mind.
Lynda Gratton
Showing 1-2 of 2
Next
