AI: Detection, Recognition and Adaptive Automation

Applied Artificial Intelligence (AI)

All our solutions can embed artificial intelligence (AI) capabilities to address specific use cases. Implemented as machine learning algorithms tailored to specific problem spaces, these highly specialized purpose-built software components can augment detection, recognition and adaptive automation capabilities across the data-to-decision chain.

During data acquisition, we can provide AI system components to retrieve data based on advanced detection and recognition. A typical example here is computer vision where video images are analyzed in real time and data is retrieved based on the recognition of pre-defined patterns.

During data transformation and processing, mathematical and statistical models are readily available for use. They can be applied in real time to incoming data series with the purpose of deriving high value information critical for further analysis and/or visualization.

Collected information can also be analyzed using machine learning and statistical modeling techniques to detect patterns, discover trends and make predictions.

These advanced capabilities can help your business simplify work, increase efficiency and gain competitive advantages.

Consider this case: What if you wanted to be immediately and automatically notified whenever an anomaly or event can have an impact on your business success? And what if you required the means to pinpoint the root cause of an anomaly or event so you can establish automated preventative measures, take corrective actions or make predictive plans?

Anomalies and events can vary widely depending on your business industry, business perspective and success criteria. They could represent such cases as:

  • Execution underperformance
  • Deviations from goals and objectives
  • Failure to meet obligations
  • Violation of rules, policies or standards
  • Excessive risk
  • Cost overruns
  • Unacceptable variations
  • Unsatisfactory quality
  • Abuse
  • Waste
  • Fraud
  • Security breaches

Advanced detection of anomalies and critical events represents a challenge as it usually cannot be realized using transaction processing systems, i.e. at the operational level. These exception detection and notification capabilities typically require business analytics systems.

Example Enterprise IoT Sensor Scatterplot Matrix

Example scatter plots from a Metriot™ Enterprise IoT solution implementation

One single automated system that can sit on top of all enterprise applications, data repositories and data-generating assets to deliver customizable and integrated high-level management alerts becomes a critical requirement for every successful executive. It can enable analysis and insight into what might have been opaque areas of the business, and can significantly simplify everyday life for senior managers by helping them focus on what's important.

BrightQuadrant can help you quickly and efficiently setup an integrated ready-to-use business analytics system with optional artificial intelligence capabilities to address your specific requirements. In the vast majority of cases, no development projects are necessary. Just setup and get real-world value straight out of the box!

Contact us now to book a demo without any obligation.


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