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Auflistung nach Schlagwort "key performance indicators"

1 - 3 von 3
  • Konferenzbeitrag
    A 3 phases model towards an industrialization of (generative) artificial intelligence developed for corporate environments
    (AKWI Jahrestagung 2024, 2024) Przewloka, Martin
    Companies face major challenges when it comes to developing a strategic approach related to artificial intelligence (AI). The massive wave of generative models that has just started is another indication that technology adaptation is associated with very large uncertainties. As a result, a large number of undirected activities in corporates occur in which so-called use cases, prototypes and minimum viable products are implemented. A targeted and strategic approach is hardly recognizable. The aim of the work carried out here was to develop a practical model that meets all parameters: moving forward quickly, learning from mistakes, developing unique selling points and thus competitive advantages ultimately resulting in an AI strategy. This is exactly what can be achieved in 3 steps, the efficiency phase, the competitive advantage phase and the transformation phase, all of which build on one another sequentially. The model presented here also makes a significant contribution to the development and adaptation of a responsible AI.
  • Zeitschriftenartikel
    Berechnung von Erfolgskennzahlen für Facebook Fan-Pages
    (i-com: Vol. 10, No. 2, 2011) Brocke, Anna; Faust, Alexander
    Dieser Beitrag definiert für Facebook Fan-Pages den Begriff “Erfolg” genauer und beschäftigt sich anschließend mit der Herleitung und Berechnung von Erfolgskennzahlen. Wir stellen Möglichkeiten manueller und automatisierter Auswertung vor. Beispiele für Berechnungen werden aufgezeigt und erste Ergebnisse diskutiert.
  • Zeitschriftenartikel
    Nondeterministic Coverage Metrics as Key Performance Indicator for Model- and Value-based Testing
    (Softwaretechnik-Trends Band 31, Heft 1, 2011) Faragó, David
    Assessing the testing or software development process by only using KPIs can easily be misleading. A better solution is a paradigm shift to value-based software engineering, which integrates value considerations into software engineering and offers a broader and more technical view on KPIs. Coverage metrics are such a technical view and a very helpful KPI. This paper combines value-based testing and model-based testing of nondeterministic systems and introduces new coverage metrics for this. Therewith, the quality of test suites is raised and value-based testing gets strongly supported, e.g., by KPIs derived from nondeterministic coverage metrics and better requirements-based and risk-based testing.