As I noted in this
post last week, the only way to make any real sense of the big picture is
to first stitch together all of the atomic-level observations (puzzle pieces)
into context (pictures).
With this in mind, take a look
at this exceptional
video about “Photosynth” presented by Blaise Aguera y
Arcas at a TED conference.
Now imagine the process of
stitching together not just digital images … but all available data – across disparate data types (e.g., structured, unstructured text,
images, video, audio, etc.).
When I speak of Context,
this is exactly what I mean.
So after seeing Photosynth ...
this made me think “n” sensor context
accumulation could just as easily be called “Infosynth.”
These context engines will be used
to deliver laser-precise relevance in support of next generation: user search;
customer service; risk mitigation; ultra-weak signal detection; and so much
more.
PRIVACY RAMIFICATIONS? Big time. Nonetheless, consumers are going to love the new industry offerings that
context engines will enable. Stay tuned
for a forthcoming post on my Responsible
Innovation thread about what technologists might want to "design in"
to these next generation systems in hopes of making these future systems more palatable from the
privacy and civil liberties perspective.
RELATED POSTS:
Algorithms
At Dead-End: Cannot Squeeze Knowledge Out Of A Pixel
Context:
A Must-Have and Thoughts on Getting Some …
Federated
Discovery vs. Persistent Context – Enterprise Intelligence Requires the Later
To
Know Semantic Reconciliation is to Love Semantic Reconciliation
More
Data is Better, Proceed With Caution
Accumulating
Context: Now or Never
Big
Breakthrough in Performance: Tuning Tips for Incremental Learning Systems
Responsible
Innovation: Staying Engaged with the Privacy Community
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