Iindlela ezi-5 zokubumba ikamva loHlaziyo lweDatha kunye nokuqonda

Indawo yohlalutyo lwedatha iyatshintsha ngokukhawuleza okukhulu. Kumashishini amaninzi, ukukwazi ukuqokelela, ukuhlalutya, kunye nokutolika idatha ngokufanelekileyo kubanceda ukuba baqonde abathengi babo, baphucule iinkqubo zangaphakathi, kwaye bahlale bekhuphisana. Kukho iindlela ezintlanu esicinga ukuba ziya kubumba indlela amashishini ahlalutya ngayo kwaye asebenzise idatha kwixesha elizayo. Makhe sijonge nganye kuzo kwaye siqonde ukuba yintoni na.

1. Imithombo yeDatha - iDatha yeSynthetic

Naluphi na uhlobo lohlalutyo lwedatha lufuna idatha yomthombo, kwaye kwihlabathi lanamhlanje oku kunokuvela naphi na. Imithombo yedatha yemveli efana nogcino-lwazi lwabathengi, iirekhodi zentengiso, kunye nohlahlelo lwewebhusayithi ngoku zidityaniswe yimithombo emitsha, efana nokutya kwemidiya yoluntu, izixhobo ze-IoT (umz. iidrones ), kunye noovimba beenkcukacha zomntu wesithathu. Kodwa phakathi kwayo yonke le mithombo mitsha, kukho enye ngokukodwa esicinga ukuba iza kubumba ikamva-idatha yeSynthetic. Kulapho iArtificial Intelligence ('AI') isetyenziselwa ukwenza ukulinganisa kwedatha ngokusekelwe kulwazi lwehlabathi lokwenene. Ngelixa sikwinqanaba lokuqala lokusebenzisa idatha yokwenziwa, iya isiba sisixhobo esibaluleke ngakumbi kwiindawo apho kunzima ukufumana idatha yoqobo.

2. IziSeko zeDatha - Ukusebenzisana

Ngenani elikhulayo lokutya kwedatha kunye nemithombo, kube ngumngeni oqhubekayo kumashishini amaninzi ukuphumeza iziseko ezichanekileyo. Oku kubandakanya zombini isoftware kunye nehardware efunekayo ukuze ubambe, ugcine kwaye usebenze idatha kumbutho wonke. Kwi-hardware engaphambili, enye indlela eye yavela kwiminyaka eyi-10 edlulileyo yi-computing yamafu. Oku kubhekiselele ekugcinweni nasekuqhutyweni kwedatha kumaziko edatha yomntu wesithathu. IAmazon yaba ngumhambisi wokuqala kule ndawo ngokungeniswa kwe-AWS. Namhlanje, ishishini likhulile ngokhuphiswano olwandisiweyo oluvela kwezinye iingxilimbela zetekhnoloji ezifana neMicrosoft. Omnye umkhwa ngaphakathi kwi-computing yefu ibe kukuseta amachibi data kunye warehouses . Nangona kunjalo, imeko esigxile kuyo ijikeleze isoftware enokudibanisa idatha esuka kwimithombo eyahlukeneyo ngendlela esemgangathweni - Oku kubhekiselwa kuko njengokusebenzisana kwedatha. Ukuba nentsebenziswano phakathi kweenkqubo ezahlukeneyo, ezifana nedatha evela kwinkqubo yoLawulo loBudlelwane babathengi kunye nenkqubo yoCwangciso lweziBonelelo zeShishini kubalulekile ekuhambeni kolwazi. Ngelixa amashishini amaninzi esokola ukusebenzisana, abo baphumeleleyo baya kuba nenzuzo yokwenyani ngokukwazi ukonyusa idatha yabo ukuze bafumane ulwazi olunzulu.

3. I-AI kunye nokuFunda ngoomatshini ('ML') – ukuCwangciswa koLwimi lweNdalo ('NLP')

I-AI kunye ne-ML zashukumisa ihlabathi ngasekupheleni kwe-2022 ngokukhululwa kwe-ChatGPT 3.5, eyayiyi-chatbot yolwazi ekhululekile ukuba isetyenziswe luluntu. Ukususela ngoko, i-AI kunye ne-ML ziye zaba zizixhobo ezinamandla kakhulu kwi-analytics yedatha. Oku kuqale kugxininise ekusebenziseni idatha ecwangcisiweyo ngaphakathi kweenkampani ukufumana ulwazi olutsha kunye noqikelelo lwengqikelelo ngokuchaneka okwandisiweyo. Ukusetyenziswa kwe-AI kuye kwahamba ngesantya esikhawulezayo kwaye ngoku kukho zonke iintlobo zezixhobo ezitsha ezinokunceda imibutho isebenzise idatha yabo eyakhiwe ngcono. Nangona kunjalo, umkhwa esicinga ukuba kufanelekile ukubeka iliso kuwo NLP , esebenzisa i-AI ukuhlalutya kunye nokubonelela ngemibono evela kwidatha engacwangciswanga. Oku kubandakanya ukukhupha ulwazi kwimithombo yedatha efana nevidiyo, imifanekiso kunye neaudio, ebisoloko ingumsebenzi otya ixesha, kude kube ngoku.

4. Ukubonwa kweDatha-ukubalisa amabali

Ukubonwa kwedatha ngokwembali ibhekisa ekusebenziseni imizobo ukubonisa idatha. Kwabaninzi bethu, ezi ziitshathi kunye neegrafu ezisetyenziswa kwiinkcazo kunye neengxelo. Nangona kunjalo, sicinga ukuba iya isiba ngakumbi malunga nokuguqula idatha ibe libali elinokuthathwa ngokulula kulo. Njengoko inani lemithombo yedatha landa, ukusebenzisa ukubonwa kwedatha njengesixhobo sokuxelela ibali ngokwenene kubaluleke kakhulu. Ingakumbi xa kufikwa ekwaziseni abantu ngaphakathi kwintlangano nokuba nezigqibo ezifanelekileyo ezenziwe ngexesha. Ukubalisa amabali yindlela ekhulayo edibanisa ngokulula ukubonwa kwedatha kunye nengxelo. Kwenza kube lula ukucacisa okufunyenweyo kwidatha entsonkothileyo ukuya kubaphulaphuli abangengobuchwephesha, kwaye uqhube ukuthathwa kwezigqibo ezinolwazi kuwo onke amanqanaba ombutho.

5. Italente - Iindima eziNtsha

Imfuno yetalente ye-data savvy ikhula njengoko uhlalutyo luba sembindini wesicwangciso soshishino. Ukusuka kwizazinzulu zedatha ukuya kubahlalutyi, imibutho idinga iingcali ezinezakhono ezinokuthi zibe nengqiqo yedatha kwaye zinxibelelane ngokufanelekileyo. Ngelixa kukho ukutyhala ukwenza ukuba izakhono zedatha zifikeleleke ngakumbi kuzo zonke iindima, kukwakho ukuyilwa kweendima ezintsha ezinxulumene nedatha, ezinje ngokuba “ ngabaguquli bohlalutyo ”. Le ndima ikhethekileyo igxile ekuvaleni umsantsa phakathi kwamaqela obugcisa kunye namaqela angengawo awobugcisa. Ezi ngcali zinceda ukunxibelelana nokuqonda ngokufanelekileyo, ziqinisekisa ukuba iinkokeli zoshishino zinokuthatha amanyathelo okuqonda idatha ngaphandle kokufuna imvelaphi eyomeleleyo yobugcisa. Lo ngomnye umzekelo wezinye iindima ezintsha ezidalwayo, ngokuhambelana nokunyuka kwemfuno yeendima zedatha zemveli, ezifana nezazinzulu zedatha kunye neenjineli.

Ukuqukumbela

Ihlabathi lohlalutyo lwedatha kunye nokuqonda lihamba ngokukhawuleza. Iqhutywa yimithombo emitsha yedatha, iziseko ezingundoqo ezomeleleyo, ubuchule be-AI obuphambili kunye ne-ML, izixhobo eziphuculweyo zokubonisa, kunye nemfuno ekhulayo yeetalente zedatha-savvy . Ngelixa uhlalutyo lwedatha lujolise ngokuqhelekileyo kwidatha yangaphakathi, i-benchmarking sesinye isixhobo esinokutyhila iindlela zokukhuphisana kunye nokuqonda usebenzisa idatha yangaphandle. Imibutho ehlala iphezulu kwezi ndlela zivelayo ikwimeko entle yokuqhubeka nokuphumelela kwixesha elizayo.