Understanding intelligence
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
The Social Factor: Innovate, Ignite, and Win through Mass Collaboration and Social Networking
The Social Factor: Innovate, Ignite, and Win through Mass Collaboration and Social Networking
Hadoop: The Definitive Guide
Cognitive models of user behavior in social information systems
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Robustness and scalability: a dual challenge for autonomic architectures
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
Unfolding the Distributed Computing Paradigms
ACE '10 Proceedings of the 2010 International Conference on Advances in Computer Engineering
Adaptive learning resources search mechanism
Proceedings of the second ACM international workshop on Multimedia technologies for distance leaning
| Hi-index | 0.00 |
The advent of cloud computing has made a significant impact on the usage and implementation of cognitive agents. The boundless resources of cloud computing offer cognitive agents a rich platform on which to help build smarter systems. Given the explosive growth of content, cognitive agents are well positioned to make use of this massive amount of information that people struggle to consume and corporations need to manage in order to satisfy new security and compliance regulations. Data collected from several IBM Cloud test platforms with more than 6,000 users and from social software statistics involving 350,000 IBM employees confirm the power of user context and social networking to enable a new generation of cognitive agents. This "position paper" reviews several aspects of the confluence of cloud computing, social software, and cognitive agents.