Conclusion Tt ohde rliavcekt ohfe dreemt aai lnrde sspe on ns isnegr, eosrutlht se iunsae doef mmaanr kdelta itne snicgyh t s , hmaanrgkoevt edre. Amsa an dr ebsyu lwt , eseukpspal yn di s oof ut et n- omf - sotne tph ws . iTt hh isshri ef tssuilnt s ieng ime si s, taankde smienr icnhvaensdt oi sri nf ogrpe cr oa sgtrsa, mi nsv. e n t o r y h o l d i n g s t r a t - While many might wave their hands and say, “Couldn’t ar- tificial intelligence solve this problem?” I say, not so fast. Wa ned mu nu lset arrent ht hi nekboaudr haapbpi rt so aocf hu st oi ndgelma taenndt dmaat an at og ef mo reenc at s t future sales. Td ehme raenids nmoa snuabg setmi t eunt et , faonr da tmh ea rskaevtv- yd rbi vues ni naeps sp ruosaecrhc lteoa r - layp up nr odaecr hs t aa nn dd sa tmh ea rdki feftei rnegn- dc er i bv ee nt woeresna lae ms - da rr ki veet n- dpr ri voe- n gd ruacme .t hTeh ed ei sms ua en di s ht ahna gt oavme ra rr ek qe tu-idr reisv ea nd ma pi tpt irnoga ct hh atto mr eo-s t oarf eoulergcaucryr, erenqt usiyrsitnegmasraenfrdesphro. cesses to manage demand
Section 4 Technology Evolution
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