7 business areas ripe for an artificial intelligence boost
We're only just out the starting gate with AI, but there are many areas where it can benefit from today's available solutions.
We're only just out the starting gate with AI, but there are many areas where it can benefit from today's available solutions.
5 steps to building a healthy DataOps ecosystem that paves the way to a data-driven enterprise
AI 'takes over the heavy lifting traditionally done by humans. It delivers deep analysis down to the SKU level, not practical with a manual approach.'
Stanford releases its latest AI statistics compilation, reflecting an industry only just starting to make its mark on the world.
Survey shows continuing expansion of data scientists roles, but who's around to fill them?
Only nine percent of machine learning efforts are mature and delivering results. At issue: scale, and models becoming obsolete too quickly.
The CEO of enterprise integration provider Boomi has seen the emphasis shift to the front end.
Many organizations are ready to apply AI to build and customize highly personalized interfaces, but one UX expert is telling us to consider the ramifications. 'We don't need infinite sizes of software.'
The four essential ingredients to building an AI factory.
Continuous Delivery for Machine Learning, or CD4ML, promotes 'a cross-functional team produces machine learning applications in small and safe increments.'