Database Reference
In-Depth Information
equipment produces a vast array of data. Harnessing this data and analyzing
it in real time delivers benefits unlike any other industry. In addition to pro-
viding companies with a competitive advantage, Streams deployment in
healthcare is helping to save lives.
For example, the University of Ontario Institute of Technology (UOIT) is
building a smarter hospital in Toronto and leveraging Streams to deliver a
neonatal critical care unit that monitors the health of what we affectionately
call “data babies.” These babies continuously generate data: every heartbeat,
every breath, every anomaly helping to produce more than 1,000 pieces of
unique diagnostic information per second. Streams is used as an early warn-
ing system that helps doctors find new ways to avoid life-threatening infec-
tions up to 24 hours sooner than previously possible. There is synergism at
play here, too. It could be the case that a separately monitored stream falls
within normal parameters (blood pressure, heart rate, and so on); however,
the combination of several streams with some specific value ranges can turn
out to be a predictor of impending illness. Because Streams is performing
analytics on moving data instead of just looking for out-of-bound values, it
not only has the potential to save lives, but it also helps to drive down the
cost of healthcare.
And the Rest We Can't Fit in This Topic …
We can't possibly cover all of the use cases and industries that could benefit
from a potent product such as Streams, so we'll cram in a couple more, with
fewer details, here in this section.
Government agencies can leverage the broad real-time analytics capabili-
ties of Streams to manage such things as wildfire risks through surveillance
and weather prediction, as well as water quality and water consumption
through real-time flow analysis. Several governments are also improving traf-
fic flow in some of their most congested cities by leveraging GPS data from
taxis, traffic flow cameras, and traffic sensors embedded in roadways. This
real-time analysis can help them to predict traffic patterns and adjust the tim-
ing of traffic lights to improve traffic flow.
The amount of data being generated in the utilities industry is growing at
an explosive rate. Smart meters and sensors throughout modern energy
grids are sending real-time information back to the utility companies at a
