AI fa'atupuina Synthetic Data, faigofie ma vave ona maua fa'amaumauga maualuga?
AI fa'atupuina fa'amaumauga fa'akomepiuta ile fa'atinoga
Syntho, o se tagata poto faapitoa i faʻamaumauga faʻapipiʻi a AI, e faʻamoemoe e liliu privacy by design i se tulaga fa'atauva'a fa'atasi ai ma fa'amaumauga fa'akomepiuta na gaosia e AI. Latou te fesoasoani i faʻalapotopotoga e fausia se faʻamaumauga malosi faʻatasi ma le faigofie ma vave ona maua faʻamaumauga maualuga ma manumalo talu ai nei i le Philips Innovation Award.
Ae ui i lea, o faʻamaumauga faʻapipiʻi faʻatasi ma AI o se fofo fou e masani ona faʻaalia fesili e masani ona fesiligia. Ina ia tali i nei mea, na amata ai e Syntho se suʻesuʻega faʻatasi ma le SAS, taʻitaʻi maketi i Advanced Analytics ma AI software.
I le galulue faʻatasi ai ma le Dutch AI Coalition (NL AIC), na latou suʻesuʻeina le taua o faʻamaumauga faʻapipiʻi e ala i le faʻatusatusaina o faʻamaumauga faʻapipiʻi AI na gaosia e le Syntho Engine faʻatasi ai ma faʻamatalaga muamua e ala i suʻesuʻega eseese i luga o faʻamaumauga, faʻamaonia faaletulafono ma faʻaoga.
E le o se fofo le fa'ailoaina o fa'amatalaga?
O faiga masani e le iloa igoa e tutusa lelei latou te fa'aogaina fa'amaumauga muamua ina ia taofia ai le sailia i tua o tagata. O fa'ata'ita'iga o le fa'alauteleina, taofiofia, soloi, fa'aigoa fa'aigoa, fa'amaufa'ailogaina o fa'amaumauga, ma le sosuaina o laina ma koluma. E mafai ona e mauaina faʻataʻitaʻiga i le laulau o loʻo i lalo.
O na metotia e faʻaalia ai luʻitau autu e 3:
- E ese'ese latou galuega ile ituaiga fa'amaumauga ma fa'amaumauga, e faigata ai ona fua. E le gata i lea, talu ai latou te galulue eseese, o le ai ai pea felafolafoaiga e uiga i metotia e faʻaoga ma pe o le a le tuʻufaʻatasiga o metotia e manaʻomia.
- O lo'o i ai pea se va'aiga tasi-i-tasi ma fa'amaumauga muamua. O lona uiga o le ai ai i taimi uma se faʻalavelave faʻapitoa, aemaise lava ona o faʻamaumauga matala uma ma auala avanoa e fesoʻotaʻi ai na faʻamaumauga.
- Latou te faʻaogaina faʻamatalaga ma faʻaumatia ai faʻamaumauga i le faagasologa. O lenei mea e sili ona faʻaleagaina mo galuega a le AI lea e manaʻomia ai le "mana vavalo", ona o faʻamaumauga leaga leaga o le a iʻu ai i faʻamatalaga leaga mai le faʻataʻitaʻiga AI (O le otaota-i totonu o le a maua ai lapisi-i fafo).
O vaega nei o lo'o su'esu'eina fo'i e ala i lenei su'esu'ega.
O se folasaga i le mataupu suesue
Mo le suʻesuʻega faʻataʻitaʻiga, o le faʻasologa o faʻamaumauga o se telefoni feaveaʻi na tuʻuina atu e le SAS o loʻo i ai faʻamaumauga a le 56.600 tagata faʻatau. O le fa'amaumauga o lo'o iai 128 koluma, e aofia ai ma le tasi koluma e fa'ailoa mai ai pe ua tu'ua e le tagata fa'atau le kamupani (fa'ata'ita'iga 'fa'asa'o') pe leai. O le sini o le su'esu'ega o le fa'aogaina lea o fa'amaumauga fa'akomepiuta e a'oa'o ai nisi o fa'ata'ita'iga e va'ai ai tagata fa'atau ma iloilo le fa'atinoga o na fa'ata'ita'iga a'oa'oina. Ona o le churn prediction o se galuega fa'avasegaina, ua filifilia e le SAS ni fa'ata'ita'iga fa'avasega fa'apitoa e fa'atino ai valo'aga, e aofia ai:
- Vaomatua soʻo
- Fa'ateleina le fa'alili
- Fa'afouga fa'atau
- Fesootaiga Neural
Aʻo leʻi faʻatupuina faʻamaumauga faʻapipiʻi, SAS vaevae faʻafuaseʻi le seti telecom i se seti nofoaafi (mo le aʻoaʻoina o faʻataʻitaʻiga) ma se seti taofi (mo le sikoa o faʻataʻitaʻiga). O le i ai o se seti taofi ese mo sikoa e mafai ai ona faia se iloiloga le fa'aituau i le lelei o le fa'ata'ita'iga fa'avasega pe a fa'aoga i fa'amaumauga fou.
I le faʻaaogaina o le nofoaafi seti e fai ma faʻaoga, na faʻaogaina e Syntho lana Syntho Engine e faʻatupu ai se faʻamaumauga faʻapipiʻi. Mo benchmarking, SAS na faia foʻi se faʻataʻitaʻiga faʻaogaina o le nofoaafi seti ina ua uma ona faʻaogaina auala eseese e le iloa e oʻo atu i se tulaga (o le k-anonimity). O laasaga muamua na maua i faʻamaumauga e fa:
- Se fa'amaumauga o nofoaafi (fa'atusa o le fa'amaumauga muamua ae to'ese le fa'amaumauga o lo'o taofia)
- Se fa'amaumauga o lo'o taofia (fa'ata'ita'iga o se vaega o fa'amaumauga muamua)
- Se fa'amaumauga e le o ta'ua (fa'avae i luga o fa'amaumauga o nofoaafi)
- Se fa'amaumauga tu'ufa'atasi (fa'avae i luga o fa'amaumauga o nofoaafi)
Fa'amaumauga 1, 3 ma le 4 na fa'aogaina e toleni ai fa'ata'ita'iga fa'avasegaina ta'itasi, ma maua ai fa'ata'ita'iga a'oa'oina e 12 (3 x 4). Na fa'aaoga mulimuli ane e le SAS le fa'amaumauga o lo'o taofia e fua ai le sa'o o fa'ata'ita'iga ta'itasi e va'ai ai tagata fa'atau. O fa'ai'uga o lo'o tu'uina atu i lalo, e amata i nisi o fa'amaumauga autu.
Ata: Pipa a'oa'oga i masini na fa'atupuina ile SAS Visual Data Mining ma le A'oa'oina o masini
Fa'amaumauga autu pe a fa'atusatusa fa'amaumauga e le o ta'ua i fa'amaumauga muamua
O auala e fa'ailoa ai igoa e fa'aleagaina ai fa'ata'ita'iga fa'avae, manatu fa'apisinisi, mafutaga ma fa'amaumauga (pei o le fa'ata'ita'iga i lalo). O le fa'aogaina o fa'amaumauga e le fa'ailoaina mo au'ili'iliga fa'avae e maua ai fa'ai'uga le fa'atuatuaina. O le mea moni, o le le lelei o faʻamatalaga e le o taʻua igoa na toetoe a le mafai ona faʻaaogaina mo galuega faʻapitoa auʻiliʻili (eg AI/ML faʻataʻitaʻiga ma dashboarding).
Fa'amaumauga autu pe a fa'atusatusa fa'amaumauga fa'akomepiuta ma fa'amaumauga muamua
Fausia faʻamaumauga faʻatasi ma AI faʻasaoina mamanu faʻavae, faʻamatalaga pisinisi, mafutaga ma fuainumera (pei o le faʻataʻitaʻiga o loʻo i lalo). O le fa'aogaina o fa'amatalaga fa'akomepiuta mo au'ili'iliga fa'avae e maua ai fa'ai'uga fa'atuatuaina. Fesili autu, pe fa'atumauina ea fa'amaumauga fa'akomepiuta mo galuega au'ili'ili maualuga (fa'ata'ita'iga AI/ML fa'ata'ita'iga ma dashboarding)?
AI fa'atupuina fa'amaumauga fa'akomepiuta ma au'ili'ili maualuga
O fa'amaumauga fa'akomepiuta e le gata mo fa'ata'ita'iga fa'avae (e pei ona fa'aalia i le fa'ailoga muamua), e pu'eina fo'i fa'asologa o fuainumera 'natia' loloto e mana'omia mo galuega su'esu'e maualuga. O lo'o fa'aalia le vaega mulimuli i le siata pa'u o lo'o i lalo, e fa'ailoa mai ai o le sa'o o fa'ata'ita'iga na a'oa'oina i fa'amaumauga tu'ufa'atasi ma fa'ata'ita'iga na a'oa'oina i fa'amaumauga muamua e tutusa. E le gata i lea, faatasi ai ma se vaega i lalo o le pupuni (AUC *) latalata i le 0.5, o faʻataʻitaʻiga aʻoaʻoina i luga o faʻamatalaga e le taʻua igoa e sili atu ona leaga. Ole lipoti atoa ma su'esu'ega au'ili'ili uma i luga o fa'amaumauga tu'ufa'atasi pe a fa'atusatusa i fa'amaumauga muamua e maua ile talosaga.
*AUC: o le vaega i lalo o le pupuni o se fuataga mo le saʻo o faʻataʻitaʻiga faʻataʻitaʻiga alualu i luma, i le amanaʻiaina o mea lelei moni, sese sese, leaga sese ma mea leaga moni. 0,5 o lona uiga o se faʻataʻitaʻiga e vavalo faʻafuaseʻi ma e leai se malosi faʻamaonia ma le 1 o lona uiga o le faʻataʻitaʻiga e saʻo i taimi uma ma e iai le malosi atoatoa.
E le gata i lea, e mafai ona faʻaogaina nei faʻamatalaga faʻapipiʻi e malamalama ai i uiga faʻamatalaga ma suiga autu e manaʻomia mo aʻoaʻoga moni o faʻataʻitaʻiga. O mea faʻaoga na filifilia e algorithms i luga o faʻamaumauga faʻapipiʻi faʻatusatusa i faʻamaumauga muamua e matua tutusa lava. O le mea lea, e mafai ona faia le faʻataʻitaʻiga i luga o lenei faʻasologa faʻapipiʻi, lea e faʻaitiitia ai le lamatiaga o faʻamatalaga soli. Ae peita'i, pe a fa'ailoaina fa'amaumauga ta'ito'atasi (fa'ata'ita'iga. tagata fa'atau telefoni) toe a'oa'oina i fa'amaumauga muamua e fautuaina mo le fa'amalamalamaina, fa'ateleina le taliaina pe na'o le fa'atonuga.
AUC e ala ile Algorithm fa'avasega ile Metotia
Faaiuga:
- O faʻataʻitaʻiga aʻoaʻoina i luga o faʻamaumauga faʻapipiʻi pe a faʻatusatusa i faʻataʻitaʻiga na aʻoaʻoina i luga o faʻamaumauga muamua e faʻaalia ai le faʻatinoga tutusa
- O fa'ata'ita'iga a'oa'oina i fa'amaumauga e le fa'ailoaina ma 'auala masani e fa'ailoa ai le igoa' e fa'aalia ai le fa'atauva'a lelei pe a fa'atusatusa i fa'ata'ita'iga na a'oa'oina i fa'amaumauga muamua po'o fa'amaumauga fa'akomepiuta.
- E faigofie ma vave le fa'atupuina o fa'amaumauga aua e tutusa lelei lava le faiga o fa'amaumauga i fa'amaumauga ma ituaiga fa'amaumauga.
Tulaga fa'aoga fa'amatalaga fa'akomepiuta fa'aopoopo tau
Fa'aoga le mataupu 1: Fa'amatalaga fa'aola mo le atina'eina o fa'ata'ita'iga ma au'ili'iliga
O le i ai o se fa'avae fa'amaumauga malosi ma faigofie ma vave ona maua fa'amatalaga fa'aoga, maualuga maualuga e mana'omia mo le atina'eina o fa'ata'ita'iga (fa'ata'ita'iga dashboards [BI] ma au'ili'iliga fa'apitoa [AI & ML]). Ae ui i lea, o le tele o faʻalapotopotoga o loʻo mafatia i se faʻavae faʻamaumauga maualalo e mafua ai 3 luʻitau autu:
- Mauaina ulufale i faʻamatalaga e tele tausaga talu ai o (le faalauaiteleina) tulafono faʻatonutonu, totonu gaioiga poʻo faʻamatalaga silos
- O faiga masani e le fa'ailoaina igoa e fa'aleagaina ai fa'amaumauga, ua le toe talafeagai ai fa'amaumauga mo au'ili'iliga ma su'esu'ega fa'apitoa ( lapisi i totonu = lapisi i fafo)
- O fofo o lo'o i ai nei e le mafai ona fa'asalaina ona e ese'ese latou galuega i fa'amaumauga ma ta'i ituaiga fa'amaumauga ma e le mafai ona fa'atautaia fa'amaumauga tele- laulau.
Fa'amatalaga fa'akomepiuta: fa'atupu fa'ata'ita'iga fa'atasi ma fa'amaumauga fa'a-lelei-pei-mo'i fa'atusa e:
- Faʻaititia le faʻaogaina o uluaʻi faʻamaumauga, e aunoa ma le faʻalavelaveina o au tagata atiaʻe
- Tatala faʻamaumauga a oe lava ma maua le avanoa i nisi faʻamatalaga sa faʻatapulaʻaina muamua (eg ona o le le faalauaiteleina)
- Faigofie ma anapogi faʻamatalaga ulufale i talafeagai faʻamatalaga
- Fofo faʻafuaseʻi e galue tutusa mo seti seti taʻitasi, faʻamaumauga ma mo faʻamaumauga tetele
O lenei mea e mafai ai e le faʻalapotopotoga ona fausia se faʻavae faʻamaumauga malosi ma le faigofie ma le vave maua i faʻamatalaga faʻaoga, maualuga maualuga e tatala ai faʻamatalaga ma faʻaogaina avanoa faʻamatalaga.
Fa'aoga le mataupu 2: fa'amatalaga su'ega fa'akomepiuta atamai mo su'ega fa'akomepiuta, atina'e ma le tu'uina atu
Fa'ata'ita'iga ma atina'e fa'atasi ai ma fa'amaumauga o su'ega maualuga e mana'omia e tu'uina atu ai fofo fa'atekonolosi fa'aonaponei. O le fa'aogaina o fa'amatalaga o le gaosiga muamua e foliga manino mai, ae e le fa'atagaina ona o tulafono fa'alilolilo. Su'ega Test Data Management (TDM) meafaigaluega faʻalauiloa "legacy-by-design” i le sa'o o fa'amaumauga o su'ega:
- Aua ne'i fa'aalia fa'amaumauga o gaosiga ma e le fa'asaoina le manatu fa'apisinisi ma le fa'amaoni fa'asino
- Galue lemu ma alu taimi
- E mana'omia galuega fa'atino
Fa'asinomaga fa'amaumauga: Su'ega ma fa'atupuina fa'atasi ma fa'amaumauga su'ega fa'akomepiuta e gaosia e AI e tu'uina atu ai fofo fa'aonaponei fa'aonaponei atamai ma:
- Fa'amatalaga fa'atusa fa'aola fa'atasi ma fa'apolopolo fa'atau pisinisi ma fa'amaoni fa'asino
- Faigofie ma vave faʻamatalaga faʻasologa ma tulaga-o-le art AI
- Fa'alilolilo-e-fuafuaga
- Faigofie, vave ma agile
O lenei mea e mafai ai e le faʻalapotopotoga ona suʻeina ma atinaʻe faʻatasi ai ma faʻamaumauga o suʻega e sosoo ai e tuʻuina atu ai fofo faʻaonaponei faʻaonaponei!
Fa'amatalaga atili
Fiafia? Mo nisi fa'amatalaga e uiga i fa'amaumauga fa'akomepiuta, asiasi i le upega tafa'ilagi a Syntho pe fa'afeso'ota'i Wim Kees Janssen. Mo nisi fa'amatalaga e uiga i le SAS, asiasi www.sas.com pe fa'afeso'ota'i kees@syntho.ai.
I lenei tulaga faʻaoga, Syntho, SAS ma le NL AIC e galulue faʻatasi e ausia taunuʻuga faʻamoemoeina. Syntho o se tagata poto faapitoa i faʻamaumauga faʻapipiʻi faʻapipiʻi AI ma o le SAS o se taʻitaʻi maketi i auʻiliʻiliga ma ofoina atu polokalame mo suʻesuʻega, suʻesuʻeina ma vaʻaia faʻamatalaga.
* Va'ai 2021 - Fa'amaumauga ma Fa'amatalaga Fuafuaga e Pulea, Fua ma Suia Pisinisi Fa'atekinolosi, Gartner, 2020.
Fa'asaoina lau ta'iala fa'amaumauga fa'atupu i le taimi nei!
- O le a le synthetic data?
- Aisea e fa'aaogaina ai e fa'alapotopotoga?
- Fa'aopoopoina o fa'amatalaga fa'akomepiuta mataupu fa'atau
- Faʻafefea ona amata
