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[{"key": "dc.contributor.advisor", "value": "Abrahamsson, Pekka", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "V\u00e4nsk\u00e4, Sini", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2021-10-28T05:17:55Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2021-10-28T05:17:55Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2021", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/78398", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4m\u00e4n pro gradu tutkielman aiheena on teko\u00e4lyn kehitt\u00e4miseen liittyv\u00e4t haasteet, kun kehitt\u00e4minen tapahtuu jatkuvan kehitt\u00e4misen menetelm\u00e4\u00e4 k\u00e4ytt\u00e4en.\nTeko\u00e4ly\u00e4 sis\u00e4lt\u00e4vi\u00e4 teknologioita k\u00e4ytet\u00e4\u00e4n laajasti eri toimialojen prosesseissa,\nja tulevaisuudessa sen merkityksen oletetaan kasvavan. Teko\u00e4ly kehitt\u00e4minen\neroaa kuitenkin huomattavasti perinteisest\u00e4 ohjelmisto- ja j\u00e4rjestelm\u00e4kehityksest\u00e4, sill\u00e4 nykyhetkess\u00e4 toimivan ohjelman sijaan tarkoituksena on luoda tulevaisuutta ennustava teko\u00e4lyj\u00e4rjestelm\u00e4. Teko\u00e4lyn kehitt\u00e4minen on vaiheittainen\nprosessi, joissa luotu teko\u00e4lyj\u00e4rjestelm\u00e4n konsepti opetetaan tekem\u00e4\u00e4n ennustuksia testidatasta, jonka j\u00e4lkeen se implementoidaan varsinaiseen todelliseen\nj\u00e4rjestelm\u00e4\u00e4n. Nykyinen liiketoimintaymp\u00e4rist\u00f6 on nopeasti muuttuva, sill\u00e4 uuden innovaation, teknologiat ja toimintatavat voivat mullistaa toimialoja ja prosesseja. Teko\u00e4lyn kehitt\u00e4miseen k\u00e4ytetyt viitekehykset eiv\u00e4t ole k\u00e4yneet l\u00e4pi samanlaista evoluutiota kuin perinteisen ohjelmisto- ja j\u00e4rjestelm\u00e4kehityksen vastaavat, jotka ovat kehittyneet niin sanotuista raskaista kehitt\u00e4mismalleista ketteriin kehitt\u00e4mismalleihin. Jatkuva kehitt\u00e4minen on ohjelmistokehitt\u00e4misen uusimpia ketteri\u00e4 menetelmi\u00e4, joka pyrkii tekem\u00e4\u00e4n tuotteen elinkaaresta yhden\njatkuvan k\u00e4ytt\u00f6\u00f6noton syklin. T\u00e4m\u00e4n tutkielman tarkoitus on eritell\u00e4 haasteita,\njoita jatkuvan kehitt\u00e4misen k\u00e4ytt\u00f6 teko\u00e4lyn kehitt\u00e4misess\u00e4 voi aiheuttaa. Tutkimus suoritettiin empiirisen\u00e4 laadullisena haastatteluna, jonka osallistujat ty\u00f6skenteliv\u00e4t teko\u00e4lysovellusten kehitt\u00e4misprojekteissa. Tutkimuksen tulokset\nosoittavat, ett\u00e4 jatkuvan kehitt\u00e4misen k\u00e4ytt\u00f6\u00f6nottoon liittyy erityisesti teko\u00e4lyn\nolemuksen ja kehitt\u00e4jien kommunikoinnin aiheuttamia haasteita.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The topic of this master's thesis is the challenges related to the development of\nartificial intelligence when development takes place using the method of continuous software engineering. Technologies involving artificial intelligence are\nwidely used in various industries and are expected to grow in importance in the\nfuture. However, the development of artificial intelligence differs considerably\nfrom traditional software and system development, as the purpose of the current\nprogram is to create an artificial intelligence system that predicts the future. The\ndevelopment of artificial intelligence is a step-by-step process in which the concept of an artificial intelligence system created is taught to make predictions\nabout test data, which is implemented in the existing system. The business environment is rapidly changing, as innovations, technologies, and practices can revolutionize industries and processes. The frameworks used to develop artificial\nintelligence have not undergone the same evolution as traditional software and\nsystems development, which have evolved from so-called heavy development\nmodels to agile development models. Continuous software engineering is the latest agile method in software development that aims to make the product lifecycle\none continuous deployment cycle. The purpose of this dissertation is to specify\nthe challenges that the use of continuous software engineering in the development of artificial intelligence may pose. The study was conducted as an empirical\nqualitative interview in which participants worked on artificial intelligence application development projects. The study results show that the introduction of\ncontinuous improvement is associated with the challenges posed by the nature\nof artificial intelligence and the communication of developers.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2021-10-28T05:17:55Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2021-10-28T05:17:55Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "94", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "continuous software engineering", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "agile development", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Continuous development of AI : adoption challenges", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202110285427", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "ketter\u00e4t menetelm\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "agile methods", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "artificial intelligence", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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