Having the knowledge, insight, and skill to make intelligent decisions on the kind of data included within ASR models is crucial to their performance and …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Virtual reality is opening up such a wide range of training opportunities that it’s no wonder schools are getting in on the
Getting the data is sometimes the hardest part of continuous intelligence.
A predictive model for septic shock is needed to improve early diagnosis, and get early treatment to the high-risk patients for whom it can be
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 …
Here is a look at some of the top AI trends for
Data science should now be part of every product manager's general education, not so they can get into the details of "how," but rather, so they can understand …
The wide-scale adoption of Industrial IoT (IIoT) and Industry 4.0 methodologies is spurring interest in digital twins for smarter
A cloud-native architecture provides a way for businesses to build new CI applications that incorporate modern
Enabling communities to know about lightning strikes coming in the next 10 to 30 minutes may give them time to avoid fatalities or