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.
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.
Continuous Delivery for Machine Learning, or CD4ML, promotes 'a cross-functional team produces machine learning applications in small and safe increments.'
AI and machine learning is poised to assist with moving into the next frontier of technology: data itself.
There is a direct correlation between digital readiness and AI readiness. However, few companies are well ahead in either area, McKinsey study asserts.
Machine learning at the intersection of application design and predictive data analytics.
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.'
Google developed an intelligent camera that learns what photos are meaningful to users. Behind the product is human-centered machine learning.
Can executives bet their businesses on AI? Gentleness and transparency with AI rollouts can go a long way. So may independent certification.