Salvatore Salamone

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.

In the news this week: AWS provides easier access to third-party data from qualified providers, out-of-the-box access to streaming log data, an operational platform for smart cities, and more.

Infrastructure spending specifically to train machine learning models has grown more than 50 percent year-to-year over the past two years.

Businesses must move to a data and analytics architecture approach that incorporates diverse data and delivers analytics everywhere.

In the news this week: a weather data provider partners with platform provider for connected and autonomous vehicles, a data platform provider’s offering now integrates with Azure, and more analytics solutions are now delivered via the cloud.

Use of recruitment chatbots is on the rise because text messaging is a much more effective method than email or calls to engage job candidates.