Real-Time Artificial Intelligence based Decision Support Systems
BellHawk Systems Corporation provides Real-Time Artificial Intelligence based
Decision Support Systems for Industrial, Government and Health Care
These systems enable organizations to increase sales and/or improve customer
satisfaction, cut operational costs, and prevent mistakes by processing large
amounts of data in real-time to provide actionable advice or warnings in a
readily digestable format for humans.
These systems are typically based on the five-layer model shown above, with
the followining layers:
Real-time data collection from multiple systems and sensors to form a
continually evolving real-time "world-view" that is the basis for
Intelligent data exchange with other systems. This is typically where
the system typically gets and integrates the goal information it needs to
perform its planning and scheduling processes.
Planning and scheduling. This is where the current status represented by
the world-view is compared with the operational goals. The difference
between the current world state and a desired world state is used to drive
the planning algorithms, using techniques such as model-based reasoning. The
outcome of planning algorithms may then be used for automatically scheduling
resources, which may lead to modification of the plans in a feedback loop,
especially as the world view changes
In the mistake prevention layer, the system is looking for operational
mistakes that are about to occur and warning people when they are about to
make a mistake or even preventing the mistake by interacting with equipment.
In the alerting layer, the system is continuously comparing the planned
actions of the organization with the outcomes being achieved and alerting
managers and supervisors to situations that need their immediate attention.
The important thing is that these systems are not static. They are
continuouly evolving and learning as new data is presented, with the different
layers interacting with each other and with a large number of people, and
possibly equipment, in real-time. They are often geographically distributed with
many intelligent agents scattered throughout a client's IT infrastructure.
The BellHawk System's team has many years experience in developing this type
of system, first for the Department of Defense, and, later, for industrial and
Each of these projects starts with a requirements analysis, followed by a
systems design, and then implementation by a BellHawk Systems led team of
experts in different aspects of implementing real-time AI based systems.