{"id":113388,"date":"2023-07-04t11:58:27","date_gmt":"2023-07-04t15:58:27","guid":{"rendered":"\/\/www.g005e.com\/?p=113388"},"modified":"2024-08-27t17:02:02","modified_gmt":"2024-08-27t21:02:02","slug":"ai-is-not-your-enemy","status":"publish","type":"post","link":"\/\/www.g005e.com\/2023\/07\/04\/ai-is-not-your-enemy\/","title":{"rendered":"ai is not your enemy"},"content":{"rendered":"

\"\"<\/a>clients still need context, and that comes from you.<\/strong><\/p>\n

by penny breslin
\nit\u2019s not just the numbers<\/a><\/em><\/p>\n

in 1994, in a small hotel meeting room in colorado springs, 50 accounting firms were up in arms when the presenter mentioned quickbooks. they shouted angry comments: \u201cquickbooks is destroying my business.\u201d \u201cthey want to take my clients.\u201d \u201cthey are giving people a false sense of security with their commercials that say, \u2018if you can write a check, you can do quickbooks.\u2019\u201d<\/p>\n

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the presenter was nervous and asked me what he was to do. i said i use quickbooks for your company, and i have no idea what i am doing, and i could use an accountant to teach me.
\n
\nthe next two days were dedicated to showing them how much help was needed, and a quickbooks training company was born. i seem to remember a lot of accounting people made some nice income from that.<\/p>\n

we have the same kind of hysteria today. \u201crobots will take our jobs.\u201d accountants fear that automation means clients will no longer need us to keep their books.<\/p>\n

there is nothing to fear and a lot of work that is yet to be done. the loss of data entry is by no means a loss of required human interaction. artificial intelligence (ai) is a marketing term. truly what we have, because of faster processors, blockchain security and multiple data-points, is automated machine learning (ml).<\/p>\n

so what is machine learning?<\/strong><\/p>\n

machine learning can be defined as \u201ccomputers\u2019 use of algorithms to find statistical patterns in massive amounts of data, which can then be used to make predictions\u201d (the brookings institution).<\/p>\n

with machine learning, accountants will have more time to spend on review<\/strong> of incoming data. the decision on what to do with any given piece of data can be done by what was traditionally a data entry bookkeeper. errors can be minimized by using machine automation, yet often a human still has to recognize and act on two types of failures:<\/p>\n