Salvatore Salamone

In the news this week: chip vendors make acquisitions and introduce new AI products, an analytic database provider releases an enhanced solution, and more.

If businesses do not adopt their own best practices in addressing AI transparency and bias issues, they may not have a choice in the future.

In the news this week: enhancements to a mainstay DBMS, a merger between two enterprise AI companies, the next generation of a virtual beauty recommendation app, and more.

Today, there is a need to transition from simply analyzing streaming data to developing insights that understand events in real-time.

Some of the most innovative uses of smart mirrors with artificial intelligence can be found in the retail and automotive industries.

In the news this week: enhancements to an all-in-one database for AI applications, help for data migration from edge to cloud, and new functionality for advanced analytics on graph databases.

By some estimates, collecting, curating, and tagging data accounts for about 80% of the effort in modern AI projects.

The demand for AI-enabled applications that deliver increasingly refined results is driving the need for high-quality annotated data to train AI models.

Businesses that work up the AI ladder will eventually be able to reach the top rung and have pervasive AI throughout their business processes

In the news this week: a data management provider teams with the GPU leader, the DOE provides $15 million in funding to speed the development of ML and AI, app developers get an easier way to use Kubernetes, and more.

The wide-scale adoption of Industrial IoT (IIoT) and Industry 4.0 methodologies is spurring interest in digital twins for smarter manufacturing.

A cloud-native architecture provides a way for businesses to build new CI applications that incorporate modern analytics.