Meetings/Workshops on Information & Knowledge Management, Big Data Computing in the United States (USA)

South Asia Institute of Science and Engineering (SAISE)

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts and papers. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge Management Systems are cordially invited for presentation at the conference. The conference solicits contributions of abstracts and papers that address themes and topics of the conference, including figures, tables and references of novel research materials. The aim as well as objective of ICKMS 2022 is to present the latest research and results of scientists working in the fields related to Information System and Data Mining. This Symposium provides opportunities for the delegates to exchange new ideas and application through face-to-face discussions, to establish business or research relations and to find global partners for future collaborations.

Phone: [+1-302-444-8432];     Email: brandon@saise.org

Objectives of knowledge management; Innovation management and knowledge transfer; Knowledge transfer and management; Data and knowledge transfer methods; Developments of knowledge transfer; Knowledge and innovation management; Processes of knowledge transfer knowledge origination, knowledge exchange and knowledge sharing; Innovation and open innovation; Collaborative applied research and consultancy; the relationship between knowledge transfer and innovation; Human and aspects of knowledge management; innovation and data engineering; Commercialisation; Knowledge Transfer Partnerships; Data and knowledge transfer methodes;

Cognilytica

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals.

Neural Networks and Artificial Intelligence, Machine Learning,    Online Training, Webinars