scholarly journals Is the corporate intranet a panacea for all information management problems? The ABSA experience

1999 ◽  
Vol 1 (4) ◽  
Author(s):  
Ivan Altin
Author(s):  
Jean Paoli

Some of us building software need to take a hard look in the mirror. For years, we have promised that technology would solve the world’s information management problems, but 85% of business information is still “dark data,” with potentially useful insights lost in a rising tide of disconnected documents, emails, Slack conversations, voice-to-text messages, etc. We need an effective approach to documents and want to start a public conversation about these issues. We believe that effective solutions should be based on: Declarative Markup; AI sympathetic to “Small Data”; focus on company-specific documents; applying AI to documents as a whole; and solutions that do not disrupt existing workflows or require massive investment. The future is not about AI making human beings obsolete; the future is about AI making human beings and companies more productive, effective, and creative


2011 ◽  
Vol 6 (1) ◽  
pp. 125-138 ◽  
Author(s):  
Youngseek Kim ◽  
Benjamin K. Addom ◽  
Jeffrey M. Stanton

Large, collaboratively managed datasets have become essential to many scientific and engineering endeavors, and their management has increased the need for "eScience professionals" who solve large scale information management problems for researchers and engineers. This paper considers the dimensions of work, worker, and workplace, including the knowledge, skills, and abilities needed for eScience professionals. We used focus groups and interviews to explore the needs of scientific researchers and how these needs may translate into curricular and program development choices. A cohort of five masters students also worked in targeted internship settings and completed internship logs. We organized this evidence into a job analysis that can be used for curriculum and program development at schools of library and information science.


Author(s):  
Rafael A. Gonzalez

In this chapter, information management problems and some of the computer-based solutions offered to deal with them are presented. The claim is that exploring the information problem as a three-fold issue, composed of heterogeneity, overload, and dynamics, will contribute to an improved understanding of information management problems. On the other hand, it presents a set of computer-based solutions that are available to tackle these problems: information discovery and retrieval, information filtering, information fusion, and information personalization. In addition, this chapter argues that a rich and interesting domain for exploring information management problems is critical incident management, due to its complexity, requirements, and the nature of the information it deals with.


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