Over the past few decades, companies and organizations got really good at generating insights from Data. Colloquially called, Big Data, Machine Learning, AI, Bots, are ultimately tools that use statistics to analyze, usually large, sets of data, often in the cloud and often in real-time. However, very few companies are collecting and analyzing data for its own sake, the vast majority do so because they are interested in answering business questions about their own business or their clients’ business.
And that is where subjective knowledge comes into place.
Subjective knowledge is often presented in the form of an opinion. And translating opinions is not a trivial matter, they often result from stochastic environments, unique, and subjective which makes them difficult to quantify. Furthermore, without quantifying opinions, measuring what it means for a decision becomes that much more difficult.
A simple example of what might be included in subjective knowledge considerations may be j...
Over the past few decades, companies and organizations got really good at generating insights from Data. Colloquially called, Big Data, Machine Learning, AI, Bots, are ultimately tools that use statistics to analyze, usually large, sets of data, often in the cloud and often in real-time. However, very few companies are collecting and analyzing data for its own sake, the vast majority do so because they are interested in answering business questions about their own business or their clients’ business.
And that is where subjective knowledge comes into place.
Subjective knowledge is often presented in the form of an opinion. And translating opinions is not a trivial matter, they often result from stochastic environments, unique, and subjective which makes them difficult to quantify. Furthermore, without quantifying opinions, measuring what it means for a decision becomes that much more difficult.
A simple example of what might be included in subjective knowledge considerations may be judgments on how a political landscape affects a decision, or competitive environment, or a simple insight by a specialist who notices a detail. Many such observations might be important for making a decision, but they are too unique to be considered as parameters in statistical modeling.

That is exactly what the Rizn app is designed to solve, help decision-makers quantify the likelihood of alternatives to be true in decisions that use subjective opinions as considerations.
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Borya Fishman
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