Next Generation Due Diligence™ Technology
System Description
The Next Generation Due Diligence ™ system identifies, summarizes and assesses the critical areas of a business, subsidiary, division, department, project, technology, idea, product or service. The system then processes information through various due diligence reviews, analyses and recommendations. The system identifies areas of difficulty and areas that need attention for the customers. Specific due diligence tools focus on various stages and functions in the evolution of organizations. The design of the due diligence tools assists users in determining which elements are critical for their organization's success, both short and long term.
System Overview
The following graphic provides a high-level overview of the Next Generation Due Diligence™ system infrastructure.
How the System Works
A due diligence tool contains various items, including questions, uploads of existing files, either/or or any combination answer lists, yes/no responses, long detailed answers, or other responses as may be necessary. The questions and subsequent data analyses are driven by a variety of advanced artificial intelligence systems coupled with standards. These advanced artificial intelligence systems and standards ensure objectivity of analysis, consistency of output and enable the Next Generation Due Diligence™ system, a patent-pending interactive due diligence process, which allows unlimited branching reiteration and due diligence flow ensuring that all aspects of the issue at hand are fully explored.
Several actions occur after the information is collected. The information is added to data repositories, comparisons are made based on the Next Generation Due Diligence™ system’s general business knowledge base, and ratings (scores) are generated on the critical aspects of the decision being supported, all of which are included in the analytical output. Additionally, reports can consist of text and graphics unique to the specific customer.
The ratings capability of the Next Generation Due Diligence™ system is the first rating (or scoring) system to have the capacity to rate (or score) any and all aspects of an organization, including such soft factors as the culture of an organization.
Understanding the complex dynamics of a business organization requires a truly multidisciplinary approach. The degree of self-control in each organization produces varying degrees of success or failure. The Next Generation Due Diligence™ technology is the key to maximizing the potential understanding of the pressing business needs all organizations experience.
In addition to the many artificial intelligence processes in the base version, the advanced versions of the Next Generation Due Diligence™ system will contain algorithms that allow the elements to evolve internally and in interaction with other elements both from the system internally and externally. Questions produce patterns and these patterns are challenged for efficiency, capacity and resiliency, both for the best internal organization and to succeed in the external environment. Expert processes, adaptive practices and self-generating algorithms are some of the many artificial intelligence components of the Next Generation Due Diligence™ system.
Artificial Intelligence in the Next Generation Due Diligence System™
Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. Some common methods include:
- Expert Systems - computer programs capable of solving problems using a knowledge base generally crafted by human experts.
- Neural Networks - networks modeled on the human brain and the internal structure of the network is composed of a small number of artificial neurons.
- Genetic Algorithms and Evolutionary Programming - mimic the process of evolution (the survival of the fittest.) The best solutions are mated together to create better offspring solutions.
- Decision Trees - structures that allow learning of opinions (e.g. good or bad) about objects based on their attributes.
- Data Mining - the process of extracting useful rules from very large sets of data.
- Bayesian Networks - networks that model the relationship between variables.
- Natural Language Processing - the task of extracting meaning from text (and is sometimes known as Computational Linguistics).
- Pattern Recognition - involves determining the characteristics in specific samples and sorting them into classes.
- Artificial Life - involves modeling and mimicking living systems. Fuzzy Logic - emulates approximate, quantitative reasoning that is concerned with the linguistic ambiguity that exists in natural or synthetic language.
- Simulated Annealing - A technique which can be applied to any minimization or learning process based on successive update steps (either random or deterministic) where the update step length is proportional to an arbitrarily set parameter which can play the role of a temperature.
There are obvious and well-documented limitations to each of these approaches. We take the best parts of several of them and incorporate them with several advances on the cutting edge of science including:
- Complex Adaptive Systems - complex, nonlinear, interactive systems which have the ability to adapt to a changing environment.
- Chaos Theory – the attempt to uncover the statistical regularity hidden in processes that otherwise appear random.
- Catastrophe Theory - a branch of mathematical topology which is concerned with the way in which nonlinear interactions within systems can produce sudden and dramatic effects.
We call this unique and powerful approach Emergent Intelligence™. Emergence is an extremely powerful concept that is increasingly recognized in scientific circles as a unifying concept that explains many of the attributes of complex systems; everything from the organization of cells to the turbulence of fluid dynamics to the globalization of economic relationships. In simpler terms, emergence can be explained as the result being greater than the sum of the parts.
For more information, please contact us at operations@superdiligence.com.