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Introduction

"Today's businesses are racing to integrate enterprise information systems and to discover hidden knowledge from data about their customers, partners, markets, performances and processes. However, many are recognizing the tremendous challenges they must face in order to rip and sustain the benefits of these efforts"


What's next? The future of new research models and market-viable innovations is limitless, especially for pervasive wireless applications, scalable e-business technologies, and personalized knowledge management systems that require non-stop data-to-intelligence transformations.

The Magazine of Innovation, Technology Review has predicted that, along with brain-machine interfaces, flexible transistors digital rights management and bio-metrics, "Data Mining," will be one of the 10 emerging technologies that will change the world in the 21st century.

Enterprise systems not only perform core enterprise functions; they contain "gold mines" of business intelligence. Public and private sector organizations depend more and more on application integration and data mining technologies to streamline business processes and leverage organizational and personalized knowledge. However today's technologies offer as many challenges as promises. The future of new research models and market-viable innovations in enterprise and business intelligence systems is limitless, especially for pervasive wireless applications, scalable ebusiness technologies, and personalized knowledge management systems that require non-stop data to intelligence transformations. Potent partnership on innovation, technology transfer and workforce development will be critical to accelerating the future's getting here.


MyGeneBank

Research on genetic variability as prognostic or predictive factors for cancers and funtional genenomics is important for cancer prediction, cancer gene profiling, and drug and therapy discovery at the Arizona Cancer Center and other research organizations in both the public and private sector. One of the main challenges facing the research is how to integrate, share, and analyze diverse and dispersed biomedical information. The goal of establishing MyGeneBank is to provide researchers, clinicians and the general public easy access, flexible querying, statistical and data mining analysis and data visualization capabilities through a personalized portal, and integrated data warehouses, and computational resources.

GKMC Global Knowledge Management Center
1645 E. Campus Center Dr. - Salt Lake City, Utah 84112-9301 - (801)581-7676