Substitute a standard web services interface for a speaking tube, a business rules management system for his encyclopedic knowledge of policies and regulations, data mining or predictive analytics for his customer knowledge and adaptive control for his experimentation and you have Decision Management. The Answerer but on an industrial scale.
Sana utilizes artificial intelligence to closely personalize content to the needs of each student. We offer real-time content recommendations for forward-thinking education companies around the world.
Als Anpassungsfähigkeit, auch Adaptativität oder Flexibilität wird die Fähigkeit eines Lebewesens oder einer Gesellschaft zur Veränderung oder Selbstorganisation bezeichnet, dank derer auf gewandelte äußere Umstände im Sinne einer veränderten Wechselwirkung zwischen (kollektiven) Akteuren untereinander (Assimilation) oder ihrer Umgebung gegenüber reagiert werden kann.
Es ist die Fähigkeit, sich auf geänderte Anforderungen und Gegebenheiten einer Umwelt einstellen zu können.
A context adaptive system typically enables the user to maintain a certain application (in different forms) while roaming between different wireless access technologies, locations, devices and even simultaneously executing everyday tasks like meetings, driving a car etc. For example a context adaptive and hence ubiquitous navigation system would offer navigation support in the situations at home, indoor, outdoor, and in car. This involves making the navigation functionality available for different availability of output devices, input devices and location sensors as well as adapting the user interaction operability to the current speed, noise or operator handicaps while keeping in mind the overall applicability depending on the user preferences, his knowledge, current task etc.[1]
Kontextadaption ist ein Begriff aus der Softwaretechnik, der verwendet wird, um technische Systeme zu bezeichnen, die ihre Struktur, Funktionalität oder Verhalten zur Laufzeit ändern können, um sich an unterschiedliche Umgebungsgegebenheiten zu richten.
Operational business intelligence (BI) has a focus on day-to-day operations and so requires low-latency or real-time data to be integrated with historical data. It also requires BI systems that are integrated with operational business processes. However, while operational BI might be part
and parcel of operational processes and systems, the focus is still on changing how people make decisions in an operational context. To compete on decisions, however, you must recognize that your customers react to the choices made by you, your staff and your systems, and that you must manage all the decisions you (or your systems) make – even the
very small ones. This is the basis for enterprise decision management or EDM. Five main areas of difference exist between operational BI and EDM – a focus on decisions (especially operational
ones), organizational integration, analytic technology change, adoption of additional technology and adaptive control.
In this article, I want to outline some steps organizations can take as they move from “traditional” BI towards operational BI and enterprise decision management. Some of these steps would be a good idea if operational BI was your goal. But hopefully you are more ambitious than that and want to really begin to compete on decisions.
Promether marks the end of surveillance and brings about a new era of online privacy,security, and anonymity. By merging blockchain technology, decentralized networks, and state-of-the-art encryption, Promether gives power and control back to the users.
Mike Malloch argues that groupwise tagging for semantic content is a key research problem, because it does not work well currently, and for social software that is the primary way in which the program can learn about the user/learner's understanding.
R. Abbott, B. Parviz, and C. Sun. Proceedings of the International Conference on
Artificial Intelligence, IC-AI '04, Volume 2 &
Proceedings of the International Conference on Machine
Learning; Models, Technologies & Applications, MLMTA
'04, 2, page 1113--1116. Las Vegas, Nevada, USA, CSREA Press, (June 2004)
A. Agogino, K. Tumer, and R. Miikkulainen. GECCO'05: Proc. 7th Genetic and Evolutionary Computation Conf., page 1309--1316. Washington, DC, ACM Press, (2005)
M. Alian, and M. AL-Akhras. Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications, page 21:1--21:7. New York, NY, USA, ACM, (2010)
R. Babiceanu, and R. Seker. Service Orientation in Holonic and Multi-Agent Manufacturing, volume 594 of Studies in Computational Intelligence, Springer, Cham, (2015)
R. Babiceanu, and R. Seker. Service Orientation in Holonic and Multi-Agent Manufacturing, volume 594 of Studies in Computational Intelligence, Springer, Cham, (2015)