miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
IT-konsulters positionering inom artificiell intelligens nu och i framtiden
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Artificial intelligence is a concept based on making machines think. The disciplines that study this range from behavioral science to computer science and mathematics. The different approaches have contributed to categorize the field of artificial intelligence into different areas and the definitions of artificial intelligence are many. The aim of this study has been to investigate how IT consulting companies define and position themselves against artificial intelligence. To achieve this goal, literature on the subject has been studied to define artificial intelligence and to categorize the different areas of artificial intelligence. With the help of these areas, a survey has been conducted with IT consultancies as a target group. It turned out that most respondents work with different types of algorithms based on logic computations and big data, which differ from those areas experts believe will be significant for the future of AI. Both experts and the IT-consultancies are convinced that in the future neural networks will be one of the fields with greatest potential.

Place, publisher, year, edition, pages
2018. , p. 41
Keywords [en]
Artificial intelligence, IT-Consultancies, categories of AI, definition of AI
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:miun:diva-34693OAI: oai:DiVA.org:miun-34693DiVA, id: diva2:1254705
Subject / course
Industrial Organization and Economy IE1
Educational program
Master of Science in Industrial Engineering and Management TINDA 300 higher education credits
Supervisors
Examiners
Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2018-10-10Bibliographically approved

Open Access in DiVA

fulltext(758 kB)83 downloads
File information
File name FULLTEXT01.pdfFile size 758 kBChecksum SHA-512
bb04e440adb664e7fe8fd93bd5fb87add9901451d285754007dfa62fcf92844868839a8d63781c8a0a15918e77cffaff6771ffaea6ea09f049e7f3e37e9c040e
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Heidlund, Marcus
By organisation
Department of Information Systems and Technology
Other Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar
Total: 83 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 292 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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