Machine learning will boost the enterprise user experience
Machine learning at the intersection of application design and predictive data analytics.
Machine learning at the intersection of application design and predictive data analytics.
There is a direct correlation between digital readiness and AI readiness. However, few companies are well ahead in either area, McKinsey study asserts.
Google developed an intelligent camera that learns what photos are meaningful to users. Behind the product is human-centered machine learning.
'How quote-to-cash works in in any ERP is not something that you can teach a data scientist in two days.'
AI and machine learning are bringing enterprise software developers and operations teams much, much closer to where the front-line customer action takes place.
Information modelers, explainability strategists, and ethics compliance managers are all new job titles needed to manage AI.
As AI matures within enterprises, the emphasis shifts from labor replacement to enterprise-building.
An AI repertoire is a unique blending of programming, data science and business knowledge.
Many supply chains run on guesswork based on outdated information, as well as outdated software. AI promises greater visibility and organization.
LinkedIn analysis of emerging job categories since 2012 finds tech and data-related jobs rising the fastest.