Cognitive systems are part of the solutions introduced by the 4th Industrial Revolution. The purpose of cognitive systems is to interpret reality. The human brain is “the” paradigmatic example of a cognitive system. The use of cognitive systems is necessary to deal with adaptive systems, complex environments, risks and uncertainty.
There are two types of complementary cognitive systems: Those that deal with operational patterns and those that deal with the fundamentals of reality. The unicist cognitive systems integrate both systems, dealing with the fundamentals of business processes and with operational patterns when big data management becomes possible. The quality assurance of these systems is given by the fallacy avoidance tools.
The Paradigm Shift of the 4th Industrial Revolution
The 4th Industrial Revolution applied to business is an upgrade towards a superior level of value generation. It implies managing the unified field of business functions and developing adaptive processes.
It fosters growth, adaptability, productivity, quality, customer orientation and sustainability by managing the unified field of industries. Its consequences cover all the aspects of business behavior. The paradigm shift involves:
Business Strategy: It defines maximal strategies to grow and minimum strategies to ensure survival to sustain growth and defines the unified field of business functions to ensure productivity, quality and sustainability.
Marketing: it manages the root causes of buying processes and the complementary marketing actions to ensure growth and customer orientation.
Management: it requires customer/client centered management to ensure adaptability and customer orientation.
Organization: It organizes processes, objects and roles according to their participation in the business process to ensure productivity, quality, sustainability and the personal development of the participants.
Cognitive Systems to Foster Growth & Profitability
The Unicist Cognitive Systems in business manage the root causes, the dynamics and the evolution of the business processes they deal with. They were developed to manage businesses as adaptive systems to foster growth, process improvement, decision making, profit improvement and customer orientation.
They take advantage of the technologies included in the 4th Industrial Revolution and use the knowledge of the concepts and fundamentals of the business functions to manage their root causes. The installation of Cognitive Systems generates a positive cash flow.
Unicist Cognitive Systems manage the unified fields of business functions using the unicist artificial intelligence to monitor the functionality of their fundamentals to ensure results. These systems are necessary to manage feedback dependent environments.
The Unicist Cognitive Systems were built upon the information provided by the more than 5,000 researches developed since 1976 at The Unicist Research Institute. These researches provided the necessary information to build the systems to support social and business decision making processes.
Strategy Building ADD-ON to Planning and Budgeting Systems
The Unicist Business Strategy is based on the knowledge of the concepts and fundamentals of business functions and of the unified field of the business processes involved.
Depending on a previous research of the company, an increase of +30% in the speed of sustainable growth can be expected.
Pilot Test Driven Market Lab ADD-ON to CRM
The pilot test driven market lab was developed to find and manage the buying arguments of potential buyers and segment them to refine marketing processes to accelerate the speed of sustainable market growth.
The Market Labs are for companies that use CRM or cloud marketing solutions such as IBM, Salesforce, SAP, Adobe, etc.
Market Labs manage the conceptual definition of buying arguments, to define the complementary selling arguments, that allow developing conceptual profiles of buyers, segmented marketing objects and refine marketing processes.
Root Cause Management ADD-ON to BPM
The Root Cause Management System is an ADD-ON to Business Process Management Systems that was developed to find the root causes of business functions which are defined by the underlying concepts and fundamentals to build structural solutions. It is for organizations that already have a process improvement process.
This approach emulates the organization of nature by developing a maximal strategy to expand and a minimum strategy to ensure results. The participative implementation model that is used ensures the functionality of the solutions.
The use of cognitive systems is necessary to deal with adaptive environments, risk management and uncertainty management. It is an emulation of nature where the cognitive system can be found in the genetic intelligence of living beings. It is a strategic approach to reality, which implicitly has a maximal strategy to grow and a minimum strategy to ensure survival.
Unicist cognitive systems include the interpretation of operational patterns and the understanding of the root causes of business processes. The use of destructive pilot tests ensures a fallacy free understanding of reality and the learning process of the unicist artificial intelligence monitor.
Data-based AI and Fundamentals-based AI
Data-based AI is functional in systemic environments but tends to generate biased responses when it is applied to complex adaptive environments. To avoid biases, data-based AI needs to be complemented when dealing with complex adaptive environments that are feedback dependent, have open boundaries and in which there is a consequent objective impossibility of existence of observers.
Complex adaptive systems are composed by elements that have biunivocal relationships and are integrated by conjunctions without the existence of exclusive disjunctions. Typical application fields in business are: marketing, strategy building and root cause management in adaptive business environments.
Unicist Artificial Intelligence allows developing different types of functionalities according to what is needed. There are basically 4 types of solutions that are homologous to human decision-making processes which are being emulated:
- Descriptive function– Driven by “how” things work
- Diagnostics function– Driven by “what” is being done
- Predictive function– Driven by the “what for” of actions
- Prescriptive function– Driven by “why” things work
It has to be considered that data-based AI is managed using inductive and deductive approaches without considering the abductive approach that allows dealing with systems that have open boundaries.
Therefore, the use of data-based AI in complex adaptive environments might generate biased responses because in these environments small changes may produce significant consequences (the butterfly effect) and apparently big changes may produce no consequences.
The unicist artificial intelligence is part of the unicist evolutionary approach that was developed to manage complex adaptive environments in the fields of social, institutional and individual behavior.
It integrates Data-based AI with Fundamentals-based AI to generate reliable knowledge for decision making, where the subjective biases and the biases resulting from the adaptive processes of the environments have been eliminated or minimized.
Comparison Between IBM/Watson and Unicist
A comparison between the cognitive approach proposed by IBM/Watson and the Unicist Cognitive Systems clarifies their differences and complementarities:
|Aspect||IBM/Watson Cognitive Computing||Unicist Cognitive Systems|
|Purpose||Reliable Solution Building||Managing complex adaptive environments|
|Approach to Reality||Univocal approaches with empirical confirmation||Biunivocal approaches with empirical confirmation|
|Engine||Mathematical and Logical Algorithms||Unicist Ontogenetic Maps and Unicist-Logic Algorithms|
|Basic approach||It emulates the dualistic human intelligence||It emulates the triadic intelligence of nature and the triadic functionality of human intelligence|
|Pattern recognition||Operational patterns||Conceptual and operational patterns|
|Input||It uses scientific and operational knowledge and data||It uses conceptual, scientific and operational knowledge and data|
|Knowledge Building||Univocal rules and empirical learning||Double dialectical rules and empirical learning based on the ontogenetic maps of the concepts of things|
|Solution Building||Based on patterns||Based on root causes|
|Main Application Fields||Data analysis, big data management, business applications, natural language understanding, knowledge discovery, visual recognition, speech to text and text to speech, translations, personality insights, tone analysis||Social behavior, economic behavior educational applications, institutional applications, business applications, individual behavior, biological behavior, complex systems behavior.|
|Necessary Managerial Approach||It is based on a systemic approach to reality||It is based on a strategic approach to reality|
|Reliability of Knowledge||Empirical||Conceptual and Empirical|
|Knowledge Bases||External knowledge bases||Unicist root cause library and external knowledge bases|
The Unicist Research Institute