IsiKhokelo kwiSiveliso seDatha eSynthetic: Ingcaciso, Iintlobo, kunye nezicelo
Akuyomfihlo ukuba amashishini ajongana nemingeni ekufumaneni nasekwabelana ngedatha ekumgangatho ophezulu. Ukuveliswa kwedatha yokwenziwa sisisombululo esisebenzayo esinceda ukuvelisa iiseti zedatha zokwenziwa ezinkulu kunye nedatha yovavanyo olukumgangatho ophezulu ngaphandle kweengozi zabucala okanye i-red tape.
Iiseti zedatha zokwenziwa zingadalwa kusetyenziswa iindlela ezahlukeneyo, ezinikezela ngeenkqubo ezahlukeneyo. Xa zivavanywa ngokufanelekileyo, iiseti zedatha ezenziweyo ezenziwe kusetyenziswa i-algorithms ephezulu inceda imibutho ikhawulezise uhlalutyo, uphando kunye novavanyo. Ngoko ke makhe sijonge ngakumbi.
Eli nqaku likwazisa kwidatha yokwenziwa, kubandakanywa iintlobo eziphambili, iiyantlukwano ezivela kwiiseti zedatha ezingachazwanga, kunye ne-nuances yokulawula. Uya kufunda ukuba idatha eyenziwe ngobuqhetseba isombulula njani iingxaki zedatha kwaye icuthe umngcipheko othile. Sizakuxoxa kwakhona ngezicelo zayo kuwo wonke amashishini, sikhatshwa yimizekelo evela kuphononongo lwethu.
Isiqulatho
Idatha ye-Synthetic: inkcazo kunye neenkcukacha zemarike
Idatha yokwenziwa lulwazi olungeyonyani olungenasiqulatho esiyimfihlo, kwaye lusebenza njengenye indlela kwiiseti zedatha zokwenyani. Izazinzulu zedatha zihlala zifowuna Idatha eyenziwe yi-AI iwele ledatha yokwenziwa ngenxa yokuchaneka kwayo okuphezulu kwezibalo ekulinganiseni idatha yokwenyani.
Iisethi zedatha ezenziweyo zenziwe kusetyenziswa i-artificial intelligence (AI) algorithms kunye nokulinganisa okugcina iipateni kunye nokulungelelaniswa kwedatha yokuqala. Le datha inokubandakanya umbhalo, iitheyibhile, kunye nemifanekiso. I-algorithms ithatha indawo yolwazi olunokuchongeka (PII) nge idatha ehlekisayo.
Uqikelelo loPhando lweGrand View ukuba imarike ukuveliswa kwedatha yokwenziwa ngeGenerative AI izakukhula ukusuka kwi-1.63 yeebhiliyoni zeedola ngo-2022 ukuya malunga ne-13.5 yeebhiliyoni zeedola ngo-2030 kwi-CAGR ye-35%. Ngokutsho kukaGartner, I-60% yedatha esetyenziselwa i-AI kwi-2024 iya kuba yenziwe -ngamaxesha angama-60 ngaphezulu kowama-2021.
Amaqonga edatha enziweyo ayanda, nawo. Market Statesville ilindele Imarike yeqonga ledatha yokwenziwa ikhule ukusuka kwi-218 yezigidi zeedola ngo-2022 ukuya kwi-3.7 yeebhiliyoni zeedola ngo-2033.
Kutheni idatha eyenziweyo ikhula? Enye into eqhubayo kukukhululeka kulawulo lolawulo.
Ngaba imithetho yabucala ilawula idatha eyenziwe yi-AI?
Uninzi lwase-US kunye ne-EU ukhuseleko lwedatha kunye nobumfihlo imimiselo isebenza kwidatha yobuqu enokuchonga.
Kodwa loo mimiselo ayisebenzi kuyo idatha yokwenziwa - idatha yokwenziwa iphathwa ngokufanayo idatha engachazwanga. Benza into ebizwa ngokuba "ngundoqo" weminye imithetho esemthethweni.
Umzekelo, irecital 26 yeGDPR ithi imithetho yokhuseleko lwabucala isebenza kuphela kwidatha enxulumene nomntu ochongayo. Ukuba idatha yakho eyenziweyo yenziwe ngohlobo lokuba ingalandeli emva kubantu abanokuchongeka, ikhutshiwe kulawulo lolawulo. Ukongamela okuLawulwayo ecaleni, kukho eminye imiqobo ekusebenziseni idatha yokwenyani eqhuba amashishini ukuvelisa idatha yokwenziwa.
Imingeni ephambili yokusebenzisa idatha yokwenyani
Iinkampani ezininzi zinobunzima bokufumana nokusebenzisa idatha efanelekileyo, ekumgangatho ophezulu, ngakumbi kwiimali ezaneleyo zoqeqesho lwe-algorithm ye-AI. Naxa beyifumana, ukwabelana okanye ukusebenzisa iiseti zedatha kunokuba ngumngeni ngenxa yeengozi zabucala kunye nemiba yokuhambelana. Eli candelo lichaza undoqo imingeni kwidatha yokwenziwa inokusombulula.
Iingozi zabucala zithintela ukusetyenziswa kwedatha kunye nokwabelana
Ukhuseleko lwedatha kunye nemigaqo yobumfihlo, efana ne-GDPR kunye ne-HIPAA, yazisa imiqobo ye-bureaucratic kukwabelana kunye nokusetyenziswa kwedatha. Kumashishini afana nokhathalelo lwempilo, kwanokwabelana ngePII phakathi kwamasebe akumbutho omnye kunokutya ixesha ngenxa yokuhlolwa kolawulo. Ukwabelana ngedatha kunye namaziko angaphandle kunomngeni ngakumbi kwaye kuthwala imingcipheko yokhuseleko.
Uphando oluvela kwi Ingcaciso ngeshishini leFortune ichonga imingcipheko yabucala eyonyukayo njengeyona nto iphambili yokwamkela izenzo zokwenziwa kwedatha. Okukhona ugcina idatha, kokukhona ubeka esichengeni ubumfihlo bakho. Ngoku ka i-2023 I-IBM Iindleko zoKhuseleko lweNgxelo yoKwaphulwa kweDatha, i-avareji yeendleko zokuphulwa kwedatha e-US yayiyi-9.48 yezigidi zeedola. Ehlabathini lonke, umlinganiselo weendleko wawuzizigidi ezisisi-4.45 zeerandi; Iinkampani ezinabasebenzi abangaphantsi kwama-500 zilahlekelwa yi-3.31 yezigidi zeedola ngokophula umthetho. Kwaye loo nto ayithethi ngomonakalo wegama.
Ubunzima bokufumana idatha ekumgangatho ophezulu
Uvavanyo lwe-2022 of 500 data professionals watyhila ukuba 77% of iinjineli, abahlalutyi, kunye noososayensi data bajongene imiba umgangatho data. Ngokwengxelo, umgangatho wedatha uthintela ukusebenza kwezimali kunye nemveliso yenkampani kwaye yenza ukufikelela kwimbono ebanzi yeenkonzo zayo kube nzima ukufikelela.
Iinkampani zisenokungabi nedatha eyaneleyo esuka kwidemografikhi ethile ukuqeqesha iimodeli zabo zokufunda ngoomatshini (ML) ngokufanelekileyo. Kwaye iiseti zedatha zihlala ziqulatha ukungangqinelani, ukungachaneki, kunye namaxabiso angekhoyo. Ukuba uqeqesha amaqonga akho e-AI nge iimodeli zokufunda ngomatshini kwidatha ekumgangatho ophantsi eswela ukwahluka kwabantu, iya kwenza uqikelelo olungachanekanga, olunomkhethe. Ngokufanayo, njengokuveliswa kwedatha engaziwa, i-algorithms engacacanga inokuvelisa iiseti zedatha ezingathembekanga ezichaphazela umphumo wohlalutyo lwedatha.
Ukunyuswa kwedatha yokwenziwa kunokuphucula umgangatho wedatha ngokujongana nokungalingani kwiiseti zedatha. Oku kuqinisekisa ukuba iiklasi ezingamelwanga ngokwaneleyo zifumana ukumelwa okulinganayo okuthe kratya kwaye kuncitshiswe i-bias. Idatha eyomeleleyo kwaye emeleyo ivelisa iziphumo eziphuculweyo zokuhlalutya kunye noqeqesho lwemodeli.
Ukungahambelani kwesethi yedatha
Iiseti zedatha ezifunyenwe kwimvelaphi eyahlukeneyo okanye ngaphakathi kwedatha yeetafile ezininzi zinokuzisa ukungahambelani, ukudala ubunzima ekusetyenzweni kwedatha kunye nohlalutyo kunye nokuthintela ukuqamba izinto ezintsha.
Umzekelo, ukudityaniswa kwedatha kukhathalelo lwempilo kubandakanya iirekhodi zempilo zombane (EHRs), izinto ezinxitywayo, isoftware yobunini, kunye nezixhobo zomntu wesithathu. Umthombo ngamnye unokusebenzisa iifomathi zedatha eyahlukileyo kunye neenkqubo zolwazi, ezikhokelela ekungafanini kwiifomathi zedatha, izakhiwo, okanye iiyunithi ngexesha lokudibanisa. Ukusetyenziswa kwedatha yokwenziwa kunokujongana nalo mngeni, ukuqinisekisa ukuhambelana kunye nokuvumela ukuba velisa idatha kwifomathi oyifunayo.
Ukungaziwa kwamagama awonelanga
Iindlela zokufihla amagama azonelanga ukoyisa iingozi zabucala okanye iingxaki zomgangatho wedatha. Ngaphezu koko, ukugquma okanye ukususa izichazi kunokususa iinkcukacha ezifunekayo kuhlalutyo olunzulu kwiiseti zedatha ezinkulu.
Ngaphandle koko, idatha engachazwanga igama layo inokuphinda ichongwe kwaye ilandelwe ngabantu. Abadlali abakhohlakeleyo banokusebenzisa uhlalutyo oluphambili ukufumanisa iipateni ezisekwe kwixesha ezibeka esichengeni ukungaziwa kwedatha ebonakala ingachazwanga. Idata yokwenziwa ingaphezulu kunedatha engachazwanga kulo mba.
Ngokungafaniyo ukungaziwa, idatha yokwenziwa ayitshintshi iiseti zedatha ekhoyo kodwa ivelisa idatha entsha efana neempawu kunye nolwakhiwo lwe idatha ekrwada, ukugcina ukusetyenziswa kwayo. Yidatha entsha ngokupheleleyo engenalwazi olunokuchongeka.
Kodwa i-nuanced ngakumbi kunoko. Kukho iintlobo ezininzi ze iindlela zokwenziwa kwedatha yokwenziwa.
Iintlobo zokwenziwa kwedatha yokwenziwa
Ukwenziwa kwedatha yokwenziwa iinkqubo ziyahluka ngokusekelwe kuhlobo lwedatha efunekayo. Iintlobo zedatha ye-synthetic ibandakanya ngokupheleleyo i-AI-eveliswayo, esekelwe kumthetho, kunye nedatha ehlekisayo - intlanganiso nganye imfuno eyahlukileyo.
Idatha yokwenziwa ngokupheleleyo eyenziwe yi-AI
Olu hlobo idatha yokwenziwa yakhiwe ukusuka ekuqaleni usebenzisa i-ML algorithms. I imodeli yokufunda ngomatshini oololiwe bahamba idatha yokwenyani ukufunda malunga nolwakhiwo lwedatha, iipateni, kunye nobudlelwane. I-Generative AI ke isebenzisa olu lwazi ukuvelisa idatha entsha efana ngokusondeleyo neempawu zezibalo zangaphambili (kwakhona, ngelixa isenza ukuba ingabonakali).
Olu hlobo idatha eyenziwe ngokupheleleyo iluncedo kuqeqesho lwemodeli ye-AI kwaye ilungile ngokwaneleyo ukuba isetyenziswe ngokungathi yidatha yokwenyani. Iluncedo ngakumbi xa ungakwazi ukwabelana ngedatha yakho ngenxa yezivumelwano zabucala zekhontrakthi. Nangona kunjalo, ukuvelisa idatha yokwenziwa, udinga isixa esibalulekileyo sedatha yoqobo njengendawo yokuqala imodeli yokufunda ngomatshini qeqesho.
Idatha ehlekisayo yokwenziwa
le idatha yokwenziwa uhlobo lubhekisa kwidatha eyenziwe ngokwenziwa elinganisa ubume kunye nefomathi yedatha yokwenyani kodwa ingabonisi lwazi lokwenyani. Inceda abaphuhlisi baqinisekise ukuba izicelo zabo zinokuphatha amagalelo ahlukeneyo kunye neemeko ngaphandle kokusebenzisa eyenyani, yabucala, okanye idatha ebuthathaka kwaye, okona kubaluleke kakhulu, ngaphandle kokuxhomekeka kwidatha yehlabathi lokwenyani. Lo msebenzi ubalulekile ekuvavanyeni ukusebenza kunye nokucokisa izicelo zesoftware ngendlela elawulwayo nekhuselekileyo.
Uyisebenzisa nini: Ukutshintsha izazisi ezithe ngqo (PII) okanye xa ngoku uswele idatha kwaye ukhetha ukungatyali ixesha namandla ekuchazeni imithetho. Abaphuhlisi bahlala besebenzisa idatha ehlekisayo ukuvavanya ukusebenza kunye nenkangeleko yezicelo ngexesha lamanqanaba okuqala ophuhliso, okubavumela ukuba bachonge imiba enokubakho okanye iziphene zoyilo.
Nangona idatha ehlekisayo ingenabunyani bolwazi lwehlabathi lokwenyani, ihlala isisixhobo esixabisekileyo sokuqinisekisa ukusebenza okufanelekileyo kweenkqubo kunye nokumelwa okubonakalayo phambi kokudityaniswa kwedatha yokwenyani.
Qaphela: Idata ehlekisayo yokwenziwa isoloko kubhekiselwa kuyo njenge 'idatha yobuxoki,' nangona singakukhuthazi ukusebenzisa la magama ngokutshintshanayo njengoko anokwahluka kwintsingiselo.
Idatha yokwenziwa esekelwe kumthetho
Idatha yokwenziwa esekelwe kumthetho sisixhobo esiluncedo sokwenza iiseti zedatha ezilungiselelweyo ezisekelwe kwimithetho echazwe kwangaphambili, imiqobo, kunye nengqiqo. Le ndlela ibonelela ngokuguquguquka ngokuvumela abasebenzisi ukuba baqulunqe imveliso yedatha ngokweemfuno ezithile zoshishino, ukulungelelanisa iiparitha ezifana nobuncinci, ubuninzi, kunye namaxabiso aphakathi. Ngokuchaseneyo nedatha epheleleyo eyenziwe yi-AI, engenakho ukulungelelaniswa, idatha yokwenziwa esekelwe kumthetho inika isisombululo esilungiselelwe ukuhlangabezana neemfuno zokusebenza ezahlukeneyo. Oku inkqubo yokwenziwa kwedatha yokwenziwa ingqineka iluncedo ngokukodwa kuvavanyo, uphuhliso, kunye nohlalutyo, apho ukuveliswa kwedatha okuchanekileyo nokulawulwayo kubalulekile.
Indlela nganye yokwenziwa kwedatha yokwenziwa inezicelo ezahlukeneyo. Iqonga likaSyntho livelele ngokwenza amawele edatha eyenziweyo ngaphandle komzamo omncinci kwicala lakho. Ufumana iinkcukacha ezichanekileyo, idatha yokwenziwa ekumgangatho ophezulu kwiimfuno zakho ezikhululekile ekuthotyelweni.
Idatha yetheyibhile eyenziweyo
Igama elithile idatha yokwenziwa kwitheyibhile ibhekisele kwi ukudala idatha yokwenziwa iiseti ezilinganisa ubume kunye neepropathi zamanani zelizwe lokwenyani kwedatha, njengedatha egcinwe kwiitafile okanye kwi-spreadsheets. Oku idatha yokwenziwa yenziwe ngokusebenzisa i-algorithms yokwenziwa kwedatha yokwenziwa kunye nobuchule obuyilelwe ukuphinda-phinda iimpawu ze umthombo wedatha ngelixa eqinisekisa ukuba imfihlo okanye idatha ebuthathaka ayixelwa.
Iindlela zokuvelisa Itheyibhile idatha yokwenziwa ngokuqhelekileyo ibandakanya imodeli yamanani, iimodeli zokufunda ngomatshini, okanye iimodeli ezivelisayo ezifana neenethiwekhi ze-adversarial networks (GANs) kunye ne-autoencoders (VAEs). Ezi izixhobo zokwenziwa kwedatha yokwenziwa Hlalutya iipateni, unikezelo, kunye nolungelelwaniso olukhoyo kwi idatha yokwenyani kwaye emva koko uvelise entsha amanqaku edatha ukuba ifana ngokusondeleyo nedatha yokwenyani kodwa ungaqulathanga naluphi na ulwazi lokwenyani.
Itheyibhile eqhelekileyo iimeko zokusetyenziswa kwedatha yokwenziwa zibandakanya ukujongana neenkxalabo zabucala, ukwandisa ukufumaneka kwedatha, kunye nokuququzelela uphando kunye nokuveliswa kwezinto ezintsha kwizicelo eziqhutywa yidatha. Nangona kunjalo, kubalulekile ukuqinisekisa ukuba idatha yokwenziwa ibamba ngokuchanekileyo iipateni ezisisiseko kunye nokuhanjiswa kwedatha eyintsusa ukuze igcinwe usetyenziso lwedatha kunye nokunyaniseka kwemisebenzi esezantsi.
Uninzi lwezicelo ezidumileyo zedatha yokwenziwa
Idatha eyenziwe ngobuqhetseba ivula amathuba amatsha kukhathalelo lwempilo, ukuthengisa, ukuvelisa, imali, kunye namanye amashishini. Eyokuqala sebenzisa amatyala iquka ukuhlaziya idatha, uhlalutyo, uvavanyo, kunye nokwabelana.
Ukunyusa ukunyusa iiseti zedatha
Ukunyuswa kuthetha ukuvelisa iiseti zedatha ezinkulu ukusuka kwezincinci ukukala kunye nokwahluka. Le ndlela isetyenziswa xa idatha yokwenyani inqabile, ingalingani, okanye ingaphelelanga.
Qwalasela imizekelo embalwa. Kumaziko emali, abaphuhlisi banokuphucula ukuchaneka kweendlela zokubona ubuqhophololo ngokuthatha iisampulu zoqwalaselo ezinqabileyo kunye neepateni zomsebenzi idatha yezemali. Ngokufanayo, i-arhente yokuthengisa inokwenza isampula yokwandisa idatha enxulumene namaqela angabonakaliyo, iphucula ukuchaneka kwecandelo.
Uhlalutyo oluphezulu olunedatha eyenziwe yi-AI
Iinkampani zinokunyusa i-AI eyenziwe ngedatha ephezulu yokwenziwa kwedatha, uhlalutyo lweshishini, kunye nophando lwezonyango. Ukudibanisa idatha ingqina ukuba yeyona ndlela isebenzayo xa ukufumana iiseti zedatha yokwenyani kubiza kakhulu okanye kuthatha ixesha.
Idatha yokwenziwa ixhobisa abaphandi ukuba benze uhlalutyo olunzulu ngaphandle kokubeka esichengeni ubumfihlo besigulane. Iinkcukacha zesayensi kwaye abaphandi bafumana ukufikelela kwidatha yesigulana, ulwazi malunga neemeko zeklinikhi, kunye neenkcukacha zonyango, ukufumana ulwazi oluya kudla ixesha elininzi kunye nedatha yangempela. Ngaphezu koko, abavelisi banokwabelana ngokukhululekileyo ngedatha kunye nababoneleli, bebandakanya i-GPS egqwethiweyo kunye nedatha yendawo ukwenza i-algorithms yokuvavanya ukusebenza okanye ukuphucula ukugcinwa kwangaphambili.
kunjalo, uvavanyo lwedatha yokwenziwa ibalulekile. Imveliso ye-Syntho Engine iqinisekiswa liqela langaphakathi lokuqinisekisa umgangatho kunye Iingcali zangaphandle ezivela kwi-SAS Institute. Kuphononongo lwe-predictive modeling, siqeqeshe abane iimodeli zokufunda ngomatshini kwidata yokwenyani, engachazwanga, kunye neyenziweyo. Iziphumo zibonise ukuba imifuziselo eqeqeshwe kwiiseti zethu zedatha zokwenziwa zinenqanaba elifanayo lokuchaneka njengezo ziqeqeshwe kwiiseti zedatha yokwenyani, ngelixa idatha engaziwa yanciphisa ukusetyenziswa kweemodeli.
Ukwabelana ngedatha yangaphandle nangaphakathi
Idatha yokwenziwa lula yokwabelana ngedatha ngaphakathi nakwimibutho yonke. Unga sebenzisa idatha yokwenziwa ukuba ukutshintshiselana ngolwazi ngaphandle kokubeka emngciphekweni ukwaphulwa kwabucala okanye ukungathobeli umthetho. Iinzuzo zedatha yokwenziwa ziquka iziphumo zophando olukhawulezileyo kunye nentsebenziswano esebenzayo ngakumbi.
Iinkampani ezithengisayo zinokwabelana ngezimvo kunye nababoneleli okanye abasasazi besebenzisa idatha eyenziweyo ebonisa ukuziphatha kwabathengi, amanqanaba oluhlu, okanye ezinye iimethrikhi eziphambili. Nangona kunjalo, ukuqinisekisa umgangatho ophezulu we zobumfihlo idatha, iinkcukacha zabathengi ezinovakalelo, kunye neemfihlo zenkampani zigcinwa ziyimfihlo.
USyntho uphumelele i2023 Global SAS Hackathon ukuze sikwazi ukwenza kunye nokwabelana aidatha echanekileyo yokwenziwa ngempumelelo kwaye ngaphandle komngcipheko. Senze idatha yesigulana kwizibhedlele ezininzi ezinezigulana ezahlukeneyo ukubonisa ukusebenza kweemodeli zokuqikelela. Ukusebenzisa iiseti zedatha ezidityanisiweyo zibonakaliswe zichanekile njengokusebenzisa idatha yokwenyani.
Idatha yovavanyo yokwenziwa
Idatha yovavanyo lweSynthetic yidatha eyenziwe ngobuqhetseba eyilelwe ukulinganisa uvavanyo lwedatha imekobume yophuhliso lwesoftware. Ukongeza ekunciphiseni umngcipheko wabucala, idatha yovavanyo yokwenziwa yenza abaphuhlisi bavavanye ngokungqongqo ukusebenza kwezicelo, ukhuseleko, kunye nokusebenza kuluhlu lweemeko ezinokwenzeka ngaphandle kokuchaphazela inkqubo yokwenyani.
Ukusebenzisana kwethu nenye yeebhanki ezinkulu zaseDatshi libonisa iinzuzo zedatha yokwenziwa kuvavanyo lwesoftware. Ukuveliswa kwedatha yovavanyo nge-Syntho Engine ibangele imveliso-efana nedathasethi eyanceda ibhanki ikhawulezise uphuhliso lwesoftware kunye nobhaqo lwe-bug, ekhokelela ekukhutshweni kwesoftware ngokukhawuleza nangokukhuselekileyo.
Iindlela zokuvelisa Itheyibhile idatha yokwenziwa ngokuqhelekileyo ibandakanya imodeli yamanani, iimodeli zokufunda ngomatshini, okanye iimodeli ezivelisayo ezifana neenethiwekhi ze-adversarial networks (GANs) kunye ne-autoencoders (VAEs). Ezi izixhobo zokwenziwa kwedatha yokwenziwa Hlalutya iipateni, unikezelo, kunye nolungelelwaniso olukhoyo kwi idatha yokwenyani kwaye emva koko uvelise entsha amanqaku edatha ukuba ifana ngokusondeleyo nedatha yokwenyani kodwa ungaqulathanga naluphi na ulwazi lokwenyani.
Itheyibhile eqhelekileyo iimeko zokusetyenziswa kwedatha yokwenziwa zibandakanya ukujongana neenkxalabo zabucala, ukwandisa ukufumaneka kwedatha, kunye nokuququzelela uphando kunye nokuveliswa kwezinto ezintsha kwizicelo eziqhutywa yidatha. Nangona kunjalo, kubalulekile ukuqinisekisa ukuba idatha yokwenziwa ibamba ngokuchanekileyo iipateni ezisisiseko kunye nokuhanjiswa kwedatha eyintsusa ukuze igcinwe usetyenziso lwedatha kunye nokunyaniseka kwemisebenzi esezantsi.
Iqonga lokwenziwa kwedatha yeSyntho yokwenziwa
I-Syntho ibonelela ngeqonga lokuvelisa idatha eyenziwe ngobuchule, ixhobisa imibutho ukuba iguqule ngobuchule idatha ibe ngumda wokukhuphisana. Ngokubonelela ngazo zonke iindlela zokwenziwa kwedatha kwiqonga elinye, iSyntho ibonelela ngesisombululo esibanzi kwimibutho ejolise ekusebenziseni idatha egubungela:
- Idatha eyenziwe yi-AI elinganisa iipateni zeenkcukacha-manani zedatha yoqobo kwidatha eyenziweyo ngamandla obukrelekrele bokwenziwa.
- Smart de-identification ukukhusela idatha ebuthathaka ngokususa okanye ukuguqula iinkcukacha zomntu (PII).
- Test data management evumela ukuba ukudala, ukugcinwa, kunye nolawulo lwedatha yovavanyo lwabameli kwiindawo ezingezizo imveliso.
Amaqonga ethu adityaniswa kulo naliphi na ilifu okanye kwindawo ekwindawo. Ngaphezu koko, sikhathalela ukucwangciswa kunye nokuthunyelwa. Iqela lethu liya kuqeqesha abasebenzi bakho ukuba basebenzise Injini yeSyntho ngokufanelekileyo, kwaye siya kubonelela ngenkxaso eqhubekayo emva kokuthunyelwa.
Unokufunda ngakumbi malunga nezakhono zeSyntho's idatha yokwenziwa iqonga lesizukulwana kwi Icandelo lezisombululo kwiwebhusayithi yethu.
Yintoni kwixa elizayo kwidatha yokwenziwa?
Ukuveliswa kwedatha yokwenziwa nge-AI yokuvelisa inceda ukuyila kunye nokwabelana ngemithamo ephezulu ye idatha efanelekileyo, ukugqitha imiba yokuhambelana kwefomathi, imiqobo yolawulo, kunye nomngcipheko wokophulwa kwedatha.
Ngokungafaniyo nokungaziwa, ukuvelisa idatha yokwenziwa ivumela ukugcinwa kobudlelwane bolwakhiwo kwidatha. Oku kwenza idatha yokwenziwa ilungele uhlalutyo oluphambili, uphando kunye nophuhliso, ulwahlulo kunye novavanyo.
Ukusetyenziswa kweeseti zedatha zokwenziwa kuya kwandiswa kuphela kuwo wonke amashishini. Iinkampani zikulungele yenza idatha yokwenziwa, ukwandisa umda wayo kwimifanekiso enzima, iaudio, kunye nomxholo wevidiyo. Iinkampani ziyakwandisa ukusetyenziswa kwe iimodeli zokufunda ngomatshini Ukulinganisa okuphezulu kunye izicelo.
Ngaba uyafuna ukufunda ngakumbi usetyenziso olusebenzayo lwe idatha yokwenziwa? Zive ukhululekile ukuba cwangcisa idemo Yethu kwiwebhusayithi.
Malunga noSyntho
Syntho inikeza smart ukuveliswa kwedatha yokwenziwa iqonga, ukusebenzisana iifom ezininzi zedatha yokwenziwa kunye neendlela zokuvelisa, ukuxhobisa imibutho ukuba iguqule ngengqondo idatha ibe yinto ekhuphisanayo. Idata yethu eyenziwe nge-AI ilinganisa iipateni zeenkcukacha zoqobo, iqinisekisa ukuchaneka, ubumfihlo, kunye nesantya, njengoko ivavanyiwe ziingcali zangaphandle ezifana ne-SAS. Ngeefitsha zokungachongi ezikrelekrele kunye nemephu engaguqukiyo, ulwazi olunovakalelo lukhuselekile ngelixa lugcina intembeko yereferensi. Iqonga lethu lenza ukudalwa, ulawulo, kunye nolawulo lwedatha yovavanyo lweendawo ezingezizo imveliso, kusetyenziswa imithetho esekwe iindlela zokwenziwa kwedatha yokwenziwa kwimiba ekujoliswe kuyo. Ukongeza, abasebenzisi banakho velisa idatha yokwenziwa ngokwenkqubo kwaye ufumane idatha yovavanyo oluyinyani ukuphuhlisa uvavanyo olubanzi kunye neemeko zophuhliso ngokulula.
Malunga nombhali
UWim Kees Janssen
I-CEO kunye nomseki
I-Syntho, i-scale-up ephazamisa imboni yedatha kunye ne-AI-generated data synthetic data. U-Wim Kees uye wangqina kunye no-Syntho ukuba unokuvula idatha eyimfihlo yokwenza idatha ibe nobuchule kwaye ifumaneke ngokukhawuleza ukuze imibutho ikwazi ukuqaphela izinto ezintsha eziqhutywa yidatha. Ngenxa yoko, u-Wim Kees kunye no-Syntho baphumelele i-Philips Innovation Award ehloniphekileyo, baphumelele i-SAS ye-hackathon yehlabathi kukhathalelo lwempilo kunye nesayensi yobomi, kwaye ikhethwe njengenkokheli ye-AI Scale-Up yi-NVIDIA.