Search results for "äly"
showing 10 items of 361 documents
Conversational agents in online organization–stakeholder interactions: a state-of-the-art analysis and implications for further research
2020
PurposeThe purpose of this study is to review the extant literature on chatbots and stakeholder interactions to identify major trends and shed light on knowledge gaps.Design/methodology/approachA systematic literature review was conducted combining qualitative and quantitative approaches. A code book based on early systematic literature reviews was developed and used to extract information from 62 discrete peer-reviewed English articles. An inductive approach was used to analyse definitions of chatbots, topics, metrics, perspectives and implications.FindingsChatbots have been studied by many different disciplines, but not much from organizational, stakeholder and corporate communication per…
Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations
2022
Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed
Young adults' online shopping addiction : The role of self‐regulation and smartphone use
2023
Online shopping addiction can be defined as an Internet-based behavioural addiction which may lead to economic problems. Even though shopping is increasingly common through mobile devices, the effects of smartphone use on online shopping addiction are underexamined. Following a survey of 1000 18 to 29-year-olds in Finland, we examined young adults' online shopping addiction and economic problems from the perspective of self-regulation and problems in regulating smartphone use. The results indicated that low self-regulation in an online environment facilitates online shopping addiction, which further leads to dissatisfaction toward personal money management through indebtedness. Moreover, we…
Understanding Big Data and its application in the digital marketing landscape
2021
This chapter outlines the increasing prominence of Big Data and its application to marketing practice. The 8Ps of the Expanded Marketing Mix: Product, Price, Place, Promotion, Process, Physical evidence, Partnerships and People are applied as the lens in explaining the application of Big Data in contemporary marketing practice. Big Data is already guiding marketing decision-making at multiple levels, from analysing consumer buying behaviour to Internet-of-Things (IoT)-enabled devices that report on product use conditions, service requirements or processing data from manufacturing. In the future, Artificial Intelligence will become important in handling Big Data. In preparation for this, the…
Emotions and Activity Recognition System Using Wearable Device Sensors
2021
Nowadays machines have become extremely smart, there are a lot of existing services that seemed to be unexpectable and futuristic decades or even a few years ago. However, artificial intelligence is still far from human intelligence, machines do not have feelings, consciousness, and intuition. How can we help machines to learn about human feelings and understand their needs better? People take their devices wherever they go, what can devices tell us about their owners? Personal preferences and needs are dependent on emotional and situational contexts. Therefore, emotional and activity aware gadgets would be more intuitive and provide more appropriate information to users. Contemporary weara…
Intelligence as a service
2010
Työ käsittelee älykkyystoiminnallisuuksien tarjoamista palveluna suurissa ja monimutkaisissa ohjelmistoympäristöissä. Älykkyys määritellään kyvyksi ratkoa ongelmia vastaamalla kysymyksiin. Ongelma on hajoitettu pienempiin osiin, jotka ovat kommunikaatio, asiakkaan rajapinta ja palveluntarjoajan rajapinta. Kommunikaation ongelmiin tarjotaan ratkaisuiksi palvelun käyttämistä asiakkaan aloitteesta, Välittäjä- suunnittelumallia ja jaettuja keskenään yhteensopivia ontologioita. Asiakkaan ja palveluntarjoajan rajapinnat ehdotetaan toteutettavaksi jaettujen ontologioiden mukaan toteutetuilla sovittimilla. Kahden suunnan kommunikaation toteuttamiseksi asiakkaan ja palveluntarjoajan välillä ehdoteta…
Muuttaako tekoäly osaamistarpeet?
2019
Artificial intelligence will change the world of work and occupational profiles in the future. It will be combined with various forms of service production and industry. It may become vital even in unexpected jobs, like for a violin player of an orchestra through the co-operation with robots or utilization of software when looking for sheets related to specific tunes. In particular, the combinations of various new technologies may produce unexpected outcomes. The broad societal change is often referred to by the term Industry 4.0. It challenges educational institutions to anticipate competence demandsand provide adult education to help adaptation. In the field of technology, many studies ha…
Tieto- ja viestintäteknologia luku- ja kirjoitustaidon opetuksessa
2018
Tekoälyn kehittäminen hyödyntäen pelejä
2017
Tutkielman tarkoituksena on selvittää, miten pelejä voidaan hyödyntää tekoälyjen kehityksessä. Tavoitteena löytää informaatioita siitä, että onko pelejä pelaavien tekoälyjen tekniikat ja menetelmät hyödyllisiä siirryttäessä reaalimaailman tekoälysovelluksiin. Täyden informaation peleissä tekoälyt ovat jo päihittäneet pelien ammattilaiset, mutta epätäydellisen informaation pelejen tuomat inhimilliset haasteet, kuten riskianalysointi, reagointi ja vastustajien tunteminen, ovat tuoneet haasteen tekoälyjen suunnittelussa tämänkaltaisissa peleissä. Pelejen tuoma hyöty tekoälykehityksessä on huomattu olevan suuri ja niiden odotetaan auttavan myös inhimillisyyden kehittämisessä tekoälyille. The go…
Koneoppivan tekoälyn hyödyntäminen reaaliaikaisessa strategiapelissä
2016
Tutkielman tavoitteena oli löytää koneoppimisen sovellusalueita RTS-pelien tekoälystä, sillä niillä olisi mahdollista parantaa pelikokemusta tekoälyä vastaan. Sovellusalueita löytyi rakennusjärjestyksen oppimisesta, vastustajan ennakoimisesta, pelaajien imitoimisesta sekä taistelutilanteiden ennakoimisesta. Tutkielmassa esiteltyjä sovelluksia on mahdollista käyttää pelikokemuksen parantamiseen tekoäkyä vastaan. The purpose of this study was to find applications for machine learning in RTS- game artificial intelligence. Because these applications might help deliver better games against human players. Applications were found in build order learning, predicting the opponent, imitating other pl…