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Research Capability Services Signals About

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Natural-Language Question Answering · Hindsight | Envisioning

Hindsight · review build · data not yet validated

Natural-Language Question Answering

Gartner, Hype Cycle for Emerging Technologies, 2016, published 2016-08

Publishers Envisioning Hype Cycle explorer Forecast vs actual

Natural-Language Question Answering: trough, plateau in 2-5 years

Source

Verdict

Not graded yet.

The same forecast in other editions

20115-10 yrs
20125-10 yrs
20135-10 yrs
20155-10 yrs
2016trough · 2-5 yrs

All captured fields

phase: trough
band: 2-5
confidence: high
x time: 31.739
y expectations: 68.816
time to plateau code: 2
technology index: 131

Permalink

https://www.envisioning.com/hindsight/claims/gartner-hype-cycle-2016-031

Cite

Hindsight, claim gartner-hype-cycle-2016-031. Envisioning. https://www.envisioning.com/hindsight/claims/gartner-hype-cycle-2016-031

Dispute this verdict

Data, code and grading rules are public at github.com/envisioning/hindsight. Data under CC BY 4.0 (the BCB Focus survey under ODbL), code under MIT. Every rule is in the decision log. Think a verdict is wrong? Open a dispute.