A guide to commercial artificial intelligence: fundamentals and real-world applications
A guide to commercial artificial intelligence: fundamentals and real-world applications
Putting expert systems to work
Harvard Business Review
Expert systems in the future: the redistribution of power
Journal of Systems Management
The rise of the expert company
The rise of the expert company
AI Expert
Applied Artificial Intelligence - Artificial Intelligence: Future, Impacts, Challenges—Part 1
Commercializing technology: what the best companies do
Harvard Business Review
Railcar Distribution at the French Railways
IEEE Expert: Intelligent Systems and Their Applications
Practical AI: Where it's been, and where it is now
IEEE Expert: Intelligent Systems and Their Applications
Hi-index | 0.00 |
Technology and organizational behavior issues that are barriers to the commercial success of expert systems are discussed. The issues include interfacing and integrating with existing systems, picking the correct problem, fulfilling development goals, representing knowledge, acquiring knowledge, validating and maintaining the system, deploying and introducing expert systems in an organization, and managing organizational behavior after development is complete. It is argued that overcoming these barriers requires technology-transfer methods that account for an expert system's size and the structure and culture of the organizations involved. Examples of the technology transfer of expert systems are presented.