Enterprise & Finance
Please make solely concise (150 phrase or much less), significant feedback. Posts which can be devoid of significant contribution. The aim is to discover and assess ideas, strategies and significant evaluation subjects in a difficult but collaborative
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atmosphere.
DB matter– How do you type good analyses from defective, biased and unreliable knowledge and strategies?
Within the earlier dialogue we handled algorithms, fashions, AI and machines typically, taking on many roles sooner or later. Machines are nice at some issues, however not at issues requiring mature judgment, contextual nuance, synthesis, and experiential finesse, might we are saying. Machines and fashions ARE TOOLS.
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Technique is finished extra within the qualitative realm of the latter areas of judgment, finesse, nuance and synthesis than within the realm of issues machines do effectively.
Worse, technique is in regards to the FUTURE and each machines and most of the people are actually dangerous at forecasting the long run. My proof consists of the failure of each machines and most people (some received it) to forecast 1) the election of President Trump (not Mrs. Clinton), 2) the BREXIT vote, three) the 2007 financial collapse, which was missed by about 40,000 fashions and some thousand “specialists” queried by the Wall Road Journal…amongst extra different instances than I care to say.
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That perception takes us to this week’s DISCUSSION BOARD TOPIC =
HOW CAN YOU FORM GOOD ANALYSES WHEN YOU TYPICALLY HAVE BIASED AND LIMITED DATA (SOMEONE CREATED THE DATA FOR WHAT PURPOSE YOU USUALLY DO NOT KNOW) AND UNRELIABLE MODELS (WHICH WERE ALSO CREATED WITH BUILT IN BIASES AND FOR PURPOSES YOU MAY OR MAY NOT KNOW)? Speak about strategies you should use to type good analyses and therefore good technique in this type of world.
