Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Avskanning av dataanalys och AI – Rapport år 2023
Totalförsvarets forskningsinstitut (FOI).
Totalförsvarets forskningsinstitut (FOI).
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2973-3112
Totalförsvarets forskningsinstitut (FOI).
2023 (Swedish)Report (Other academic)Alternative title
Horizon Scanning of Data Analysis and AI – Report in 2023 (English)
Abstract [sv]

Dataanalys och det närbesläktade området artificiell intelligens utvecklas snabbt och är av stort intresse för ledningsområdet då de kan erbjuda åtråvärda egenskaper som automatiserad hantering av stora datamängder och modeller för att tolka ny data. Den här rapporten omfattar en avskanning av fyra utvalda delområden: preskriptiv analys, osäkerhetshantering, förklarbarhet (XAI) och systemperspektiv. Rapporten innehåller dessutom en uppskattning av den framtida utvecklingen av delområdena och en jämförelse med avseende på deras mognadsgrad och relevans.

Abstract [en]

Data analysis and the closely related field of artificial intelligence are developing rapidly and are of great interest to the command and control field as they can offer desirable features such as automated handling of large data sets and models for interpreting new data. This report includes a scan of four selected sub-areas: prescriptive analysis, uncertainty management, explainability (XAI) and systems perspective. The report also contains an estimate of the future development of the sub-areas and a comparison with respect to their degree of maturity and relevance.

Place, publisher, year, edition, pages
Stockholm: Totalförsvarets forskningsinstitut (FOI) , 2023. , p. 60
Series
Totalförsvarets forskningsinstitut-rapport (FOI-R), ISSN 1650-1942 ; FOI-R--5483--SE
Keywords [sv]
artificiell intelligens (AI), dataanalys, avskanning, preskriptiv dataanalys, osäkerhetshantering, förklarbarhet (XAI), artificial intelligence (AI), data analysis, horizon scanning, prescriptive data analysis, uncertainty management, explainable AI (XAI)
National Category
Other Computer and Information Science
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-23324OAI: oai:DiVA.org:his-23324DiVA, id: diva2:1806569
Note

Ronnie Johansson (red.), Peter Hammar, Alexander Karlsson, Sidney Rydström

Available from: 2023-10-23 Created: 2023-10-23 Last updated: 2023-11-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

https://www.foi.se/

Authority records

Karlsson, Alexander

Search in DiVA

By author/editor
Karlsson, Alexander
By organisation
School of InformaticsInformatics Research Environment
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 234 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf