I’m intrigued by the “Machine Learning” part of the name in this recent feature. How does this learning process work? Does it learn from our computers and get smarter as we make corrections and adjustments, or is it just a database of slips somewhere in TaxCycle?
Case in Point…
The CIBC peddles a fee based passively managed group of Mutual Funds under the name CIBC Wealth Management or CIBC Trust to many of its regular banking customers. The T3 slips are easily recognizable as they are normally on legal sized paper and have I.M.A. Fees in bold lettering in the Footnotes. The funds in these pools are almost all prefixed with the word “imperial”
Imperial Canadian Bond Pool
Imperial International Bond Pool
Imperial Canadian Dividend Income Pool
Inperial US Equity Pool
etc etc etc
SlipMatch isn’t quite certain what these are and suggest they are Maybe London Life
I’m just wondering If I keep correcting TaxCycle by telling it these are CIBC Trust will the software eventually Machine Learn them to be CIBC Trust and not London Life… or is this something that is out of my control?
Not a big deal… just wondering how machine learning works.