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    Time Series

    AI fundamentals & modelstime-ordered measurement series
    Reading time: 2 min.Editorially reviewed on:

    Definition

    A time series assigns consecutive observations to specific points or intervals in time.

    A sequence of observations assigned to points or intervals in time and often dependent.

    Simply explained

    You regularly record a value, for example the number of orders each day. This ordered sequence is a time series.

    Why it matters in practice

    The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.

    Example from business

    A company records daily order intake along with calendar and data revisions.

    Limits and pitfalls

    • Irregular intervals, missing values, revisions, and time zones must not be treated as ordinary tables.

    Origin & history

    Time series analysis developed from astronomy, economics, and signal processing.

    Use in mid-sized companies

    • Possible application: A company records daily order intake along with calendar and data revisions.

    Frequently asked questions

    What does time series mean?

    A sequence of observations assigned to points or intervals in time and often dependent. What should you watch out for? Irregular intervals, missing values, revisions, and time zones must not be treated as ordinary tables.

    Sources

    Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.

    Editorially reviewed on:

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