~/talk

"Big Data" and Analytics in Government

Talkat Gov 2.0 Summit 2010 · 2010-09-07..09-08· [data-engineering, databases]
links:none on file
slides:none on file

Government holds massive structured and unstructured stores and the computational know-how via DOE/NSF procurement patterns to catalyze industry builds, then apply real-time packet-level analytics to detect botnet patterns, run predictive models for the smart grid that yield 10–20% efficiency gains by shifting consumer loads, and instrument compliance tick-by-tick for electronic trading. Built pilots include network monitoring that detects repeatable attack signatures and 48–72 hour “jam sessions” using large-scale text analytics on 400,000 participants to surface persistent topics.

AI-written summary · about

  1. 0:00Big data in government
  2. 1:48Government data advantages
  3. 4:12Real-time analytics challenges
  4. 7:20Batch to real-time shift
  5. 9:45Regulation and compliance
  6. 11:50Human-machine collaboration
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