Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning
Most use cases for AI in companies are developed by data scientists and then deployed and used essentially as a black
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable
In the news this week: AI and ML solutions to future-proof vehicles, an update to an open-source multi-model database, a cognitive advertising accelerator, and …
Constraint solvers take a set of hard and soft constraints in an organization and formulate the most effective plan, taking into account real-time
Corporate AI offerings must be as robust and feature rich as the consumer AI services workers use at home. Otherwise, users will not embrace
Embedded development is often driven by the need to deploy highly optimized and efficient
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
Perhaps the underlying reason AI, CI, and other technologies will be disruptive factors in 2020 is digital transformation.
Eveline was developed based on the personal experience of Eveline co-founder and CTO Carson Chen and his wife.