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

Ai4

The Ai4 2021 Enterprise AI Summit brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology. Join us at industry’s most impactful AI event.

Customer Service;     Phone: [+1 929-376-7732];     Email: info@ai4conferences.com

organizational change, applied ai, the ai lifecycle, Strategic Business Problem Solving With AI Training Versus Hiring Talent, Organizational Charts and Workflows, External Partnerships, Getting Buy In, Scaling AI efforts, Measuring ROI, Adapting AI Efforts to Meet Regulatory Requirements, AI Best Practices, Automation & Increasing Workforce Efficiency, Personalized Approaches to Marketing, Customer Experiences, & Product Development, Internet of Things – AI Powered Hardware, Autonomous Systems, Enhanced Cybersecurity & AI

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

Association for Information Systems

The annual Southern Association for Information Systems (SAIS), an official chapter of the Association for Information Systems (AIS), will hold the 24th SAIS conference in Myrtle Beach, South Carolina, March 18-19, 2022. We invite submissions of abstracts, papers, panels, tutorials, and workshops, from academia, business, or government on current topics in all areas of IS. Accepted abstracts and papers will be included in the conference proceedings and published in the AIS e-Library.

Phone: [7576479437];     Email: chris.kreider@cnu.edu

systems analysis, systems design, analytics, project management, information systems, information security, cybersecurity

Information Security and Information Privacy,    Software Engineering

This is the meeting of the SIAM Activity Group on Data Mining and Analytics. This conference is held in cooperation with the American Statistical Association.

Probability and Statistics, Game Theory,    Database Technology and Design, Search Engines and Data Mining

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