Machine Intelligence

06 Feb Evaluating Machine Generated Data Sets

Posted at 08:53h in Case Studies, Data Intelligence, Machine Intelligence, Resources by MicroAI Admin 0 Comments

AI investment hesitance is often exacerbated by the lack of ability to evaluate potential impact of an AI solution by using the client’s existing machine data. ...

24 Jan OT Asset Optimization

Posted at 05:56h in Case Studies, Machine Intelligence, Manufacturing, Resources by MicroAI Admin 0 Comments

OT asset optimization now goes well beyond automation. Assets in today’s OT ecosystems are tasked with providing advanced productivity, control, and security within a wide cross-section of environments (manufacturing, automotive, energy, telecommunications, etc.)....

12 Dec Mobile Network Security Health Scores

Posted at 07:09h in Case Studies, Machine Intelligence, Resources, Security and Monitoring, Telco by MicroAI Admin 0 Comments

The attainment of a Zero Trust security state for mobile network infrastructures will require a cyber security and monitoring solution that bridges existing visibility gaps by providing real-time visual updates on network security status, anomalous behavior, and threat indicators. ...

07 Nov Breaking the AI Entry Barrier

Posted at 06:31h in Articles, Case Studies, Machine Intelligence, Resources by MicroAI Admin 0 Comments

Deployment of existing AI solutions can take months, during which time there can be multiple disruptions to daily operations....

20 Oct AI-Enabled Edge Devices

Posted at 04:47h in Case Studies, Machine Intelligence, Resources by MicroAI Admin 0 Comments

Beyond merely providing connection between networks, these devices are now tasked with performing a wide range of critical operational and security functions. In many cases, expectations have outpaced capabilities....

01 Sep Digital Factory Improves OEE Scores

Posted at 09:24h in Case Studies, Machine Intelligence, Resources by MicroAI Admin 0 Comments

OEE is a measure of how well a piece of equipment (or a complete ecosystem of machines) is performing compared to its full operating potential. It is used to determine the percentage of manufacturing time that is truly productive....