Search results for "Intelligence"

showing 10 items of 6959 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…

organisaatioviestintäbusiness.industryStrategy and ManagementCommunicationchatbotsystematic literature reviewStakeholderStakeholder engagementtekoälyartificial intelligencecomputer.software_genreChatbotcorporate communicationSystematic reviewEngineering ethicsSociologyCorporate communicationAffordanceSet (psychology)businesscomputerorganization–stakeholder interactionssystemaattiset kirjallisuuskatsauksetEnglish articlesJournal of Communication Management
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Value of the Balanced Scorecard for organizational communication in knowledge-intensive firms

2014

organisaatioviestintäjohtaminenBalanced Scorecardyritysviestintäjohtamiskontrollitknowledge-intensive firmtietämyksenhallintabusiness intelligencejohtamisviestintäyhteisöviestintäknowledge workjohtamisjärjestelmätasiantuntijatasiakkaatasiakassuhdestrategic managementorganizational communicationtietotyöjohtamiskäytännötknowledge-intensivetietotekniikka-alatuloskorttiviestintä
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Ulkoinen liiketoimintatiedon hallinta mielikuvien ja maineen taloudessa

2012

Liiketoimintatiedon hallinta eli business intelligence on systemaattista organi-saation ulkoisiin ja sisäisiin tietovarantoihin kohdistuvaa toimintaa. Sen tarkoi-tuksena on auttaa organisaation toimintaa parantamalla relevantin tiedon mää-rittämistä, tallentamista ja siirtämistä tietoa tarvitseville työntekijäryhmille, sekä tiedon tulkitsemista. Sisäiset tietovarannot ovat lähinnä organisaation hallussa olevia tietovarastoja, joiden hyödynnettävyys rajautuu itse organisaatioon. Täs-sä tutkielmassa puolestaan keskityttiin organisaation ulkoisten tietolähteiden hyödyntämiseen, jotka tulivat helpommin käytettävään muotoon etenkin inter-netin yleistymisen myötä. Tässä tutkielmassa selvitettiin …

organisaatioviestintätiedonhallintamainebusiness intelligencetietämyksenhallinta
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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

organizationscomputational modelingliiketoimintaprosessitGeneral Computer Scienceinterviewsbusiness practicesohjelmistotuotantoorganisaatiotmonitorointitekoäly113 Computer and information sciencesartificial intelligencelearning systemsdata modelsmonitoringmachine learningkoneoppiminenälytekniikkahaastattelututkimussoftware engineering
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Koncepcje dotyczące osobowości prawnej robotów -zagadnienia wybrane

2019

The purpose of this article is to present the most characteristic positions of representatives of the doctrine (both representing the common law system and continental law system) whether, and if so, how to regulate legal status of robots, which might inspire a further discussion in the matter. The reason to start a discussion regarding this topic was a resolution of the European Parliament of 16.2.2017, which included a recommendation of the Commission regarding civil law regulations connected with robotics (2015/2103(INL))

osobowość prawna robotówlegal personality of robotsautonomiczne maszynyautomatyzacjaautonomic machinesrobotizationArtificial Intelligence (AI)robotagentelectronic personssztuczna inteligencja"osoby elektroniczne"Prawo Mediów Elektronicznych
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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…

paikkatiedotComputer sciencemedia_common.quotation_subjectWearable computertekoälyRecommender systemwearable device sensorslcsh:TelecommunicationActivity recognitiontoimintatunteetHuman–computer interactionlcsh:TK5101-6720emotions recognitionzero-shot semantic segmentationactivity recognitionanturitSituational ethicsimage segmentationWearable technologymedia_commonHuman intelligencebusiness.industrymielialadeep learningliikkeentunnistusmachine learningkoneoppiminenälytuotteetFeelingälytekniikkaConsciousnessbusinesskasvontunnistus (tietotekniikka)fyysinen aktiivisuus2021 28th Conference of Open Innovations Association (FRUCT)
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Integrative Clinical Research

2022

This book embraces a comprehensive range of research across several disciplines, providing insights and fresh perspectives on clinical topics, emphasizing the integrative medical approach. The book also addresses an increasing role of artificial intelligence in the development of clinical methodologies, research, and patient-oriented care. The authors share expertise and experience in rehabilitation medicine whose healing-effects particularly depend on the interaction between the therapist and patient. Chapters present novel approaches in manual rehabilitative therapy of common painful and disabling neuromuscular ailments, exemplified but not limited to low back pain and migraine. The myofa…

pain medicinefrailityArtificial intelligencerespiratory infectionsdiabetesprecision medicinesleep-disordersmigrainepregnangy
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Les observatoires territoriaux communautaires

2008

International audience

partenariat[ SHS.ECO ] Humanities and Social Sciences/Economies and financesparticipation[SHS.ECO] Humanities and Social Sciences/Economics and Financesystèmes d'information[SHS.ECO]Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUSIntelligence territoriale
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A CNN Adaptive Model to Estimate PM10 Monitoring

2006

In this work we introduce a model for studying the distribution and control of atmospheric pollution from PM10. The model is based on the use of a cellular neural network (CNN) and more precisely on the integration of the mass-balance equation; at the same time it simulates the scenario regarding a planar grid describing the whole studied area (the city of Palermo) by means of a CNN and a set of Bayesian networks. The CNN allows us to define a grid system whose dynamic evolution is a redefinition of the diffusion equation that considers contributions coming from near cells for each element of the grid. Dynamics of each cell is influenced by meteorological effects and by parameters related t…

particulate matterPolynomialAdaptive controlDiffusion equationbusiness.industryComputer scienceMass balanceAir pollutionAir pollutionBayesian networkAtmospheric pollutionFunction (mathematics)ParticulatesGridmedicine.disease_causeUrban structureCellular neural networkAir qualitymedicineArtificial intelligencebusinessAlgorithmAir quality index
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Image classification based on 2D feature motifs

2013

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…

pattern discoveryContextual image classificationProbabilistic latent semantic analysisExploitComputer sciencebusiness.industryScale-invariant feature transformPattern recognitioncomputer.software_genreDigital imageComputingMethodologies_PATTERNRECOGNITIONclassificationimage analysisVisual WordArtificial intelligenceData miningbusinessClassifier (UML)computerImage compression
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