The reflection on how business intelligence shapes our understanding of truth is one gateway to finding ourselves in the world we are attempting to think about.
The convergence of machine learning, analytics, business intelligence, statistics & decision science will make a direct impact on shaping an intelligent workforce and building an intelligent business.
System intelligence: System Intelligence is a blend of systems thinking, complexity science, evolutionary psychology to understand interconnectivity between parts and whole. In practice, there is always a temptation to use simple linear models to understand highly complex or nonlinear scenarios. The reason people are struggling for true wisdom is that it means that they have to make a huge effort to get beyond rational linear thinking. With rapid changes and frequent disruptions, systems understanding is a cognitive process to embrace holism and nonlinearity; do the predictive “cause and effect” analysis in system dynamics including nonlinear cause and effect models to solve complex problems effectively.
Judgmental intelligence: Sound judgment is a must for good decisions, with a high degree of unpredictability and ambiguity, it is important to leverage data analysis and inferences for making decisions in the complex business environment. There are varying concepts that need to be clarified in analysis practice involving information analysis, statistics, data mining and forecasting. It is crucial to clarify the use of "judgment" in a scientific context. For example: What is "judgment"? Is it an individual's personal choice about what rules should apply, or is it about how close something is meeting a certain standard? Or is it an application of some method to balance the influence of contradictory diagnostics? Etc. Generally speaking, judgmental intelligence is the combination of multiple intelligence for thinking of consequence, not thinking of convenience.
Risk Intelligence: Risk is part of reality in running business today, however, most of today’s risk management is reserved for huge and costly endeavors. The lack of risk awareness creates more blind spots uncovered and gaps unfilled. High-effective Risk Management is not just about risk mitigation or controlling, but more advanced as risk intelligence. As long as risks have been identified and agreed with stakeholders as per business needs, then you can take information driven risk models that effectively predict, optimize, and consider sustainable approaches with multifaceted perspectives, and the specific threshold for justifying opportunities and business outcomes scientifically.
Intelligence amplification is a digital phenomenon with multidimensional perspectives. There is an hyper connected and interdependent system of intelligence at work around emerging digital technologies, but it is only a subcomponent of the global system of intelligence. The reflection on how business intelligence shapes our understanding of truth is one gateway to finding ourselves in the world we are attempting to think about.
Judgmental intelligence: Sound judgment is a must for good decisions, with a high degree of unpredictability and ambiguity, it is important to leverage data analysis and inferences for making decisions in the complex business environment. There are varying concepts that need to be clarified in analysis practice involving information analysis, statistics, data mining and forecasting. It is crucial to clarify the use of "judgment" in a scientific context. For example: What is "judgment"? Is it an individual's personal choice about what rules should apply, or is it about how close something is meeting a certain standard? Or is it an application of some method to balance the influence of contradictory diagnostics? Etc. Generally speaking, judgmental intelligence is the combination of multiple intelligence for thinking of consequence, not thinking of convenience.
Intelligence amplification is a digital phenomenon with multidimensional perspectives. There is an hyper connected and interdependent system of intelligence at work around emerging digital technologies, but it is only a subcomponent of the global system of intelligence. The reflection on how business intelligence shapes our understanding of truth is one gateway to finding ourselves in the world we are attempting to think about.
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