UMHLAHLANDLELA WOKUSEBENZA

Ukutholwa Kokukhwabanisa kwe-AI

Ukutholwa kokukhwabanisa kwe-AI kusebenzisa ukufunda komshini ukuze kubonwe okwenziwayo okusolisayo, ama-akhawunti, nokuziphatha ngesikhathi sangempela, ngaphambi kokuthi kunyamalale imali.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It's how your bank can approve a legitimate purchase in milliseconds while blocking a stolen-card charge a continent away.

I-Deep Dive

Ukukhwabanisa akuvamile, kushintsha ngokushesha, futhi kuyisitha: izigebengu zihlala zizivumelanisa nezimo, ngakho imithetho engaguquki ('izindleko zokuvimba ezingaphezu kuka-$5,000') ziyashabalala ngokushesha. Amamodeli e-AI afunda amaphethini avamile ekhasimende ngalinye kanye nokuphambuka kwefulegi, athole konke okwenziwayo engcupheni. Bahlanganisa ukufunda okugadiwe (okuqeqeshwe ngokukhwabanisa okulebulwe okwedlule) nezindlela ezingagadiwe ezibamba izikimu ezingakaze zibonwe ngaphambili. Amasignali afaka inani, indawo, idivayisi, isikhathi, umthengisi, kanye nesivinini (izinkokhelo eziningi ngamaminithi). Amanethiwekhi ekhadi afana ne-Visa ne-Mastercard asebenzisa i-AI ethola amabhiliyoni emisebenzi, futhi i-PayPal, i-Stripe, namabhange ayisebenzisela ukunciphisa ukulahlekelwa. Ukushuba kwesimo ukulinganisa ukukhwabanisa ngokumelene nemibono engamanga eyehlisa ngokungalungile amakhasimende alungile.

I-Technical Insight

Ngenxa yokuthi ukukhwabanisa kwangempela kuyingxenyana encane yakho konke okwenziwayo, amamodeli abhekana nokungalingani kwesigaba okwedlulele, ngakho amaqembu asebenzisa amasu afana nokusampula kabusha, ukufaka amaphuzu okudidayo, namamethrikhi afana nokunemba/ukukhumbula kanye ne-AUC kunokunemba okungahluziwe. Izihlahla ezithuthukisiwe (i-XGBoost) kanye namanethiwekhi e-neural egrafu ayandayo avamile: amakhadi axhumanisa amagrafu, amadivayisi, nama-akhawunti okuveza izindandatho zokukhwabanisa. Izici zakhiwe ngesivinini kanye nezisekelo zokuziphatha, futhi izinqumo kufanele zibuye ngama-millisecond endaweni yokuthengisa.

I-Strategic Impact

Yakha ukukhetha

Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela.

Ithimba kanye nokusebenza komsebenzi

Ukuhlanganiswa okuhle kokuhamba komsebenzi kudala izinzuzo zokukhiqiza abasebenzisi abangazethemba.

Ingozi nokuphepha

Amacala okusetshenziswa ahlelwe kahle anciphisa ukukhathala okushintshile kanye nengozi yokuqaliswa.

Ikusasa Lokutholwa Kokukhwabanisa kwe-AI

Ukutholwa kokukhwabanisa kushintshela ekuhlaziyweni kwegrafu kwesikhathi sangempela, ukufunda okuhlanganyelwe okwabelana ngezimpawu zokukhwabanisa kuzo zonke izikhungo ngaphandle kokwabelana ngedatha eluhlaza, kanye ne-biometrics yokuziphatha njengokuthayipha nokuswayipha. Futhi isiba umjaho wezikhali we-AI-versus-AI: izigebengu zisebenzisa amazwi ajulile, izinkomba zokwenziwa, kanye nemibhalo ekhiqizwe yi-AI, ngakho abavikeli bakha izitholi ezikhiqizayo ze-AI namamodeli aguquguqukayo aziqeqesha kabusha ngokuqhubekayo ukuze ahambisane namaphethini amasha okuhlasela.

Ukuqaliswa Komhlaba Wangempela

Amanethiwekhi ekhadi lesikweletu athola ukuswayipha ngakunye ngama-millisecond ukuze akugunyaze noma akwenqabe

Amabhange ahlaba umkhosi ngokuthathwa kwe-akhawunti lapho ukungena ngemvume kuvela kudivayisi entsha nezwe

I-PayPal ne-Stripe ivimba izinkokhelo ezisolisayo kanye nemikhonyovu yabathengisi ekuphumeni

Abadayisi bomshwalense abasebenzisa i-ML ukuthola izimangalo ezikhuphukile noma ezifakwe kusiteji ngaphambi kokukhokha

Izingozi & Guardrails

Ukuzenzakalela inqubo ephukile kungakhulisa izinkinga ezikhona.

Amaqembu angase azenze ngokuzenzakalelayo futhi asuse ukwahlulela komuntu okudingekayo.

Ikhwalithi ingakhukhuleka uma okuphumayo kungahlolwa ngokuqhubekayo.

Ukuqalisa Umhlahlandlela

1

Imephu yokuhamba komsebenzi kwamanje futhi uhlonze isinyathelo sokungqubuzana okuphezulu kakhulu.

2

Chaza izindawo zokuhlola abantu ngaphambi kokuzenzakalela okugcwele.

3

Qeqesha abasebenzisi ngokwaziswa, izindlela zokukhuphuka, namazinga ekhwalithi.

4

Landelela imiphumela yezinga lomsebenzi ukuze uqinisekise inani eliqhubekayo.

Qhubeka Uhlole

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Umhlahlandlela olandelayo

I-AI ekutholeni Ukukhwabanisa

Imibuzo evame ukubuzwa

What is AI Fraud Detection?

Ukutholwa kokukhwabanisa kwe-AI kusebenzisa ukufunda komshini ukuze kubonwe okwenziwayo okusolisayo, ama-akhawunti, nokuziphatha ngesikhathi sangempela, ngaphambi kokuthi kunyamalale imali. Kuyindlela ibhange lakho elingagunyaza ngayo ukuthenga okusemthethweni ngama-millisecond kuyilapho livimbela ukukhokhiswa kwekhadi elintshontshiwe ezwenikazi.

Kungani imithetho engaguquki iyodwa (isb., 'izindleko zebhulokhi ezingaphezu kuka-$5,000') ngokuvamile zingenele ukukhwabanisa?

Abakhwabanisi bazivumelanisa nezimo ngokushesha, ngakho imithetho engaguquki iphelelwa yisikhathi; Amamodeli e-AI afunda amaphethini aguqukayo futhi azivumelanise nezikimu ezintsha.

Kungani amanethiwekhi we-graph neural esetshenziswa kakhulu ekutholeni ukukhwabanisa?

Amagrafu axhuma izinhlangano ezifana namakhadi, amadivayisi, nama-akhawunti, edalula izindandatho zokukhwabanisa ezihlanganisiwe amamodeli okuthenga okukodwa azogeja.

Iyiphi isignali eyisibonelo 'sesivinini' ekuqaphelweni kokwenziwayo?

Isivinini sikala ukuthi umsebenzi wenzeka ngokushesha kangakanani, njengokuqhuma kwezindleko ngamaminithi, okuvame ukuphawula ukukhwabanisa.