Tuesday, March 22, 2016

Trends in Data Analytics

  1. Plumbers wanted: data management overhead demands professional data mangers
  2. Hardening models:  increasingly complex models require tighter approaches to diagnostics and validation
  3. The tunnel link: big data engineering and methodological approaches meet in the middle
  4. Change management to the fore: evidence-based decision-making requires management to contemplate new organizational forms
  5. Invisible architectures: enterprise architecture embraces systems management to forge a path through the mist of multi-systems complexity
  6. We’re not in Kansas anymore:  increasingly diffuse models requires a deeper methodological understanding of broader research paradigms
  7. Living with the paradox: coming to terms with irresolvable methodological quandaries
  8. Cyborg enterprise:  industrial-scale analytics ushers in the age of highly integrated, large-scale techno-organizational decision programs
  9. Not for everyone, but necessary none-the-less:  analytics as a service and outsourcing analytics as a function
  10. On-ramping AI: organizational operationalization as a step towards machine automation
  11. Emerging profession: professional computational decision engineers and AI stewardship
  12. Far-future: the birth of the Chief Meaning Officer – equal parts decision scientist, IT manager, storyteller, and organizational anthropologist
List is from Data Science Central.

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