In this session, the speakers provide examples of how AI can, in fact, do what people cannot do alone, visiting a variety of applications, with goals that include digging regularity out of data in the search for new pharmaceuticals, capturing design rationale and exploiting captured rationale to improve product design, and working through tediously complex calculations to better guess what a computer user needs to know. From theories of intelligence to cleaning up land mines and exploring the surface of Mars. Embodied AI systems can do useful physical work today in places that it is impossible to put people or teleoperated machines. Why database mining is important, and experiences in introducing datamining technologies. AI research has developed new ways of analyzing heaps of data that complement traditional statistical methods.
Database mining can help to realize value from data assets.
Today's technology has reached the stage where more natural and familiar modes of communication will soon make the keyboard obsolete. That technology can be used to capture much of the process involved in design and decision making, as well capturing the final outcome. Maximizing Intellectual Capital Best practices transfer well only when properly supported by help, training and experienced people. Reward examples of information sharing, else information hoarding is rational. To design workable knowledge management system's, make sure HCI design is sensitive to work practice behavior.