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Maitiro eArtificial Intelligence Ari Kuchinja Mamiriro Ekutarisa

Nhasi bhizimisi world relies heavily on the background check industry to mitigate risks. Widespread use of the Indaneti has deeply transformed how background checks are performed, making the process faster and cheaper, and giving everyone the chance to run a check, regardless of their reasons. Data storage and analysis had already changed background checks for good, but the true disruption came with muchina kudzidza uye kungwara kwekunyepedzera. 

Zvirinani Dhata Kuongorora

chakagadzirwa njere iri kubatsira makambani kurongedza kuburikidza nemakomo e data mune nyaya yemasekondi. Inogona kusarudza uye kuongorora ruzivo rwakakodzera uye mapoinzi anoshanda pasina chikonzero chekudyidzana kwevanhu. Uye machine learning irikuita maitiro nekukurumidza uye nekuvimbika. Semuyenzaniso, can crawl thousands of Websites, sort information, and generate a report with only relevant information in a matter of seconds.

Ruzivo Rwazvino

Dhata remunhu rinogona kuchinja nekukurumidza. chakagadzirwa njere ndiyo nzira yakanakisa yekuona kuti mameseji ekuongorora kumashure anogara aripo, sezvo vachigona kuramba vachiongorora ruzivo nekuzivisa kana shanduko huru yaitika. Ichi chikonzero nei mamwe makambani achimhanyisa kutarisa kumashure kunevazvino vashandi kana kusiira musuwo wakavhurika kuti uwane imwe ongororo mushure mekuhaya.

Dzivisa kusarura

Vashandirwi vekuhaya kana vekumashure vanoongorora vanogona kunge vasingazive vakasarudzika nekuda kwezvikonzero zvinoverengeka. Uye izvi zvinogona kutungamira kusarura kusingadiwe nemhedzisiro inogona kuitika. Nekuti chakagadzirwa njere ndeyechokwadi-yakavakirwa uye inofambiswa nedata, pane shoma nzvimbo yekusarura. Nekudaro, nekuti vanhu vachiri kuronga chakagadzirwa njere, hakusi kusingakundikani. Semuenzaniso, kune mitsara inoti MaAmazon algorithms airatidza kusarura pamusoro pevakadzi.

Yakawedzera Reach

Nemaoko kutarisa data kubva kune vanobvunzwa mhiri kwemakungwa chinhu chekare. chakagadzirwa njere inokwanisa kuwana uye kuongorora ruzivo rwepasirese. Izvi zvinonyanya kukosha mumusika webasa wakazara nekufamba. Ipo paine kutariswa kwepamutemo maererano nezvinotenderwa nenyika yega yega pachiyero chekutarisa, data repasirese rinowanikwa nyore kuburikidza neAI.

Mienzaniso yeAI mune Iyo Yekumashure Tarisa Indasitiri 

The gig economy has changed how people interact and do bhizimisi. But it also poses more risks as it enters people’s private lives. Examples of gig-economy giants are transportation companies Uber and Lyft. To ensure that customers are safe, and because of the high volume of applications,  they rely on AI-powered background checks to vet candidates.

Israeli-based Intelligo yakagadzira mhinduro inonzi Kujeka, iri 90% chaiyo uye inovimba neAI, machine learning, and text analytics. Their technology is so advanced that it simulates a human analyst’s thought process by determining to mean, raising red flags, and locating connections while analyzing data.

Kunetsekana Kwetsika

Kuiswa kweAI mune yekuhaya maitiro hakusi kwekushushikana kwetsika. Nyanzvi dzezvekutsvagisa dzakasimudza mireza yakakosha maererano nehurongwa hwepurogiramu (senge iri mune yakataurwa pamusoro apa Amazon kesi). Maitiro anogona kuratidza uye kubereka pamusoro pekugona, kukosha, uye kugona. Zvakare, pane zvinotaurwa zviitiko zvekukanganisa kwakakosha umo maalgorithms akavhiringidza zvinyorwa zvematsotsi kubva kuvamiriri vane mazita akafanana. Chekupedzisira, nyanzvi dzinonetsekana nezve glitches, hacks, uye zvimwe zvehunyanzvi zvinhu zvinogona kukuvadza zvakanyanya vanhu. Mazhinji acho anokurudzira chiyero pakati peAI nekudyidzana kwevanhu.

Tekinoroji yakachinja iyo yekumashure yekutarisa nzvimbo yezvakanaka. Asi izvi hazvireve kuti nyanzvi dzekuongorora hadzichadiwe. Nepo basa ravo richizoshanduka richienda kune chinzvimbo chepamusoro chekutarisira, basa ravo richiri kudikanwa uye rakakosha. Izvo zvakare zvinhu zvakakosha kana zvasvika pakusarudza kuti ndeupi ruzivo rwakakodzera, maalgorithms anofanira kuiswa sei, uye sei machine learning inofanira kutarisa maitiro ekuongorora kumashure.

Izvi Zvinorevei Iwe

Zvizvarwa zvemunyika zvinofanirwa kutora maoko-pavanosvika pakurapwa kwedhata ravo. Sezvatakakurukura, AI inogona kuita zvikanganiso zvakakosha (sekusanganisa-kumusoro marekodhi kana vanhu vane mazita akafanana), kana kumhan'ara zvinyorwa zvakavharwa kana zvakadzingwa. Kumhanyisa kumashure kutarisa pachako kuburikidza nesaiti uchishandisa AI kuchakubatsira iwe kudzidza zvimwe zvezvinogona kuwana kwauri, uye kugadzirisa matambudziko kana iwe ukazviwana.

Bottom Line

AI makes the background screening process faster, more accurate, and more efficient. It can sort and analyze extremely large amounts of data in minutes. And it is an evolving technology that will continue to get better. But there’s still a lot of ground to cover when using technology for important bhizimisi decisions. As of now, balance is the keyword.

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