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Future signals

A future signal helps stress-test a strategy. It is not a certain prediction, proof of readiness or sufficient authorization for an investment. Analyst reports are registered by metadata and hash; their PDF files are not redistributed.

Signal register

Signal Horizon Primary uncertainty Decision question Evidence that updates it
Conversational interfaces may absorb some exploration currently performed in dashboards short–medium adoption, accuracy, cost and task fit Which decisions need conversation, visualization or both? task-level telemetry and comparison with the current interface
Copilots and agents may move from explaining to proposing or executing actions short–medium authority, error chains, reversibility and control Which rights can the owner delegate and under what stop conditions? incidents, override, reversal, accuracy and outcome
Data and AI value may be measured closer to decisions and outcomes medium attribution and gameable metrics Which decision changes and what alternative is the comparator? baseline, counterfactual and follow-up
Semantic layers and explicit decision models may become more important medium interoperability and maintenance cost What semantics must be governed before automation? defects, reuse, traceability and change time
Governance may shift from isolated artifacts to sociotechnical systems medium–long regulatory maturity and fragmentation Which controls remain effective when a system learns or acts? audits, control failures and official versions

How to use a signal

  1. Translate it into a concrete decision rather than a generic trend.
  2. State the horizon and critical assumption.
  3. Design an early indicator and abandonment condition.
  4. Compare at least two plausible scenarios.
  5. Record what observation would confirm, refute or make the signal irrelevant.

Standards and framework signals

Versions also change. As of 2026-07-24:

  • OMG publishes DMN 1.5 as a formal specification and DMN 1.7 Beta 1 as an informational document; a conformity decision must check the current official inventory.
  • NIST keeps AI RMF 1.0 available and states that it is under revision; this page does not assume the content of a future version.

What remains prohibited

  • “Gartner says it will happen” as a fact;
  • treating a target year as a probability;
  • turning expected adoption into expected benefit;
  • presenting a beta as a formal standard;
  • inferring readiness without evaluating data, process, people and control;
  • presenting a signal as validation of PULSE or CDI.

Stop condition: if a signal changes no decision, experiment or indicator, it is narrative context rather than decision intelligence.