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Is AI applicable to all Business Problems

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1431 views

My own work in this area suggests that there are specific areas where the use of traditional machine learning techniques will be more relevant.

Richard Boire
34 months ago

6 answers

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Machine learning is also a field of AI. AI is vast and yes it can be applicable to almost all business problems. The definition of AI says making machines think like Human so whereever we are working on making machines think like humans we are using AI.

Harpreet Sethi
31 months ago
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I would say yes, Artificial Intelligence can be useful wherever intelligence is useful. The questionable part can be how it can be useful?

Mohammad M. Aref
29 months ago
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In a few years "every major decision, business and personal, will be made with the assistance of cognitive technologies“, predicts IBM Watson's UK Director of Paul Ryan. All business problems, require decisions based on information, experience and predictions. So yes, AI can be applied everywhere.

Patrick Henz
29 months ago
Exactly, we used to name someone as a sucessful businessperson if we see the person has good knowledge (dataset) and makes good decisions based on that knowledge (AI method). - Mohammad 29 months ago
Yes, so often AI will not replace human employees. But employees efficiently using AI will replace others which not. - Patrick 29 months ago
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Hi, AI is something that can be applied largely to businesses problems where extreme amount of data is available. Some business areas like agriculture, logistics, transportation, infrastructure, health, energry, manufacturing, education, operations, ecommerce, fashion, retail, real estate, finance and marketing are the critical areas where AI can be applied strongly. These sectors have unlimited amount of data where AI can be applied significantly.

Layak Singh
34 months ago
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As usual, solution to a problem will largely depend on the problem itself. AI is expected to be applicable to new and unusual situations and problems, while for routine and repetitive situations with known necessary modifications it would be more efficient to use traditional machine learning techniques and automatization methods.

VGG-Consulting /Vesselin Gueorguiev
34 months ago
0

It could be challenging to just set up rules for machines, algorithms could help. Search engines do not have specific rules for ads, machine learning check user behaviors and act accordingly. Having data already categorized could be useful too. AI could create relationships between many variables even when humans couldn't and this could be applied to different area. Indeed it is an investment at the very beginning, but this could save time and cost at a later stage. For example AI is beneficial for Financial, Sales, Logistics, HR, R&D and Marketing.

Paolo Beffagnotti
29 months ago

Have some input?