Future Enterprise IT—The Intelligent Enterprise
by David Hunter Tow
The enterprise of the future will increasingly depend on a wide range of rigorous artificial intelligence systems, algorithms and techniques to facilitate its operation at all levels of management. As described in the previous Adaptable Enterprise blog, major decisions incorporating sophisticated levels of intelligent problem-solving will increasingly be applied autonomously and within real time constraints to achieve the level of adaptability required to survive in an ever changing and uncertain global environment. This trendline describes these techniques and their application.
A number of artificial techniques and algorithms are rapidly reaching maturity and will be an essential component of Intelligent Enterprise Architecture of the future including: Genetic algorithms- solution discovery and optimisation modelled on the genetic operators of cross over, replication and mutation to explore generations of parameterised options. Bayesian networks- graphical models representing multivariate probability networks; providing inference and learning based on cumulative evidence.
Fuzzy Logic—non-binary methods of decision-making—allowing information inputs to be weighted and an activation threshold established. Swarm Intelligence—combining multiple components to achieve group intelligent behaviour. Neural networks—pattern discrimination techniques modelled on neuron connection. Expert Systems- rule based inference techniques targeted at specific problem areas. Intelligent Agents -are particularly relevant to the future enterprise architecture because they are designed to be adaptive-that is to learn by experience. Agent societies are self organising, learning software artefacts that can be directed to perform routine information handling tasks but will inevitably evolve into higher intelligence models capable of making increasingly complex decisions autonomously.
Future Trends
The above techniques will be packaged in different combinations to provide immensely powerful problem solving capability and are slowly being applied discretely within business intelligence, data mining and planning functions of enterprise systems. However they have yet to realise their full potential within the enterprise model by being applied to decision-making in a targeted dynamic fashion.
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Featured Blogger David Hunter Tow
David's professional activities include business consulting, science communications, enterprise forecasting, and green advocacy.
Business Consulting: Director and Principal Consultant of The Australian Software Research Centre- a consultancy with over 30 years experience working with business and Government—specializing in the areas of Knowledge and Decision Engineering. Also author of the Decision Engineering Methodology—providing techniques for measuring and optimizing organizational decision processes.
Science Communication: Science communicator and author- production and presentation of a weekly community television series covering big picture science topics—'Theories of Everything'—across Australia and author of a major popular science book on evolution.
Enterprise Forecasting: Producer of a Blog/Feed tracking the future impact of the major processes and technologies driving the evolution of the enterprise
Green Advocacy: Development of a unique video Channel on social network- Facebook- providing access to green sustainable initiatives across the planet.
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