LEADER 03050nam 2200541 450 001 9910677605103321 005 20231217061613.0 010 $a1-119-78258-9 010 $a1-119-78260-0 010 $a1-119-78259-7 035 $a(CKB)4100000011920365 035 $a(MiAaPQ)EBC6579254 035 $a(Au-PeEL)EBL6579254 035 $a(OCoLC)1250084654 035 $a(CaSebORM)9781119782476 035 $a(EXLCZ)994100000011920365 100 $a20211215h2021 uy 0 101 0 $aeng 135 $aurcz#---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBusiness forecasting $ethe emerging role of artificial intelligence and machine learning /$feditors, Michael Gilliland, Len Tashman, Udo Sglavo 210 1$aHoboken, New Jersey :$cWiley,$d[2021] 210 4$dİ2021 215 $a1 online resource (xvii, 414 pages) : illustrations (some color) 225 1 $aWiley and SAS business series 311 0 $a1-119-78247-3 320 $aIncludes bibliographical references and index. 330 $a"Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term This book provides ideas from the most important and influential authors in the field of forecasting on an array of topics that are highly relevant. It provides multiple perspectives on relevant issues like monitoring forecast performance, forecasting process, communication and accountability for the forecast, the use of big data in forecasting, and the role of AI/ML in enhancing traditional time series forecasting methods. Note: Content is mostly material previously published in "practitioner" journals (Foresight and Journal of Business Forecasting), with a few articles from the academic International Journal of Forecasting. Some articles report on academic research, or include case studies, but most are thoughtful discussion of important business forecasting topics, such as the role of the sales force in forecasting, or the value of judgmental overrides to a statistical forecast, or how to determine what forecast error is "avoidable." Articles were chosen for their importance, influence, informativeness, and for being provocative -- leading the reader to new considerations and ideas" 410 0$aWiley and SAS business series. 606 $aBusiness forecasting 606 $aArtificial intelligence 606 $aMachine learning 615 0$aBusiness forecasting. 615 0$aArtificial intelligence. 615 0$aMachine learning. 676 $a658.40355 702 $aTashman$b Len$f1942- 702 $aSglavo$b Udo$f1968- 702 $aGilliland$b Michael 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910677605103321 996 $aBusiness forecasting$92020035 997 $aUNINA