Real-Time Machine Learning: Not Quite Ready for Prime Time
There are two types of real-time machine learning systems. One type makes predictions in real-time, the other updates models in real-time.
There are two types of real-time machine learning systems. One type makes predictions in real-time, the other updates models in real-time.
The pandemic may pass, but the potential for disruption never does. As a result, low code’s newest popularity could prove to have staying power.
Leading up to the holidays, the news this week is dominated by collaborations focusing on real-time solutions related to intelligence edge and automated workflows.
Data Democratization is expected to spearhead the move to providing Equipment as a Service, which requires a fundamental adoption of new ways of thinking and new paradigms.
Pharmaceutical giant AbbVie and the U.S. Air Force flex some AI muscle, multiple partnerships aim to leverage AI in financial services and the edge, and more.
IBM Watson improves AI automation and increases NLP precision, C3.ai announced winners in its COVID-19 Grand Challenge, and more.
Converged edge solutions can help alleviate challenges while accelerating deployment, services, and connectivity in support of specific industry verticals.
In recent times with the rise of IIoT device connectivity, collecting and processing that operational data automatically in historians is becoming more affordable and accessible.
People who are anxious or unsure about human relationships are more likely to view AI with skepticism or mistrust.
In the news this week: A bevy of partnerships to bring artificial intelligence (AI) and machine learning (ML) to medical applications, and more.