I-Enterprise AI isifikile ngesithembiso sokuguqula ukukhiqiza nokusebenza ezinhlanganweni emhlabeni wonke. Kodwa-ke, impumelelo yangempela yezinhlelo zobuhlakani bokwenziwa incike kakhulu ekufinyeleleni idatha yebhizinisi yekhwalithi ephezulu. Leli phepha elimhlophe elibanzi lihlola ukuthi izinhlangano zingalivula kanjani inani elifihliwe elihlala ezimpahleni zazo zedatha ezingahlelekile futhi ziguqule izinqolobane zedatha ezikhohliwe zibe ubuhlakani be-AI obunamandla obuqhuba imiphumela yebhizinisi.
Kungani Lokhu Kubalulekile Manje
- I-80% yedatha yebhizinisi ayihlelekile futhi likhula ngezinga elimangalisayo lama-55-65% minyaka yonke, elimelela amandla amakhulu angasetshenziswa ezinhlanganweni ezingasebenzisa lolu lwazi ngempumelelo.
- U-60% wedatha yenhlangano ithathwa “njengemnyama” - okusho ukuthi ihlala ingenasici, ingasetshenzisiwe, futhi ingafinyeleleki kakhulu kubasebenzisi bebhizinisi nezinhlelo zokuhlaziya
- Izinkinga zokuthobela isikali se-Petabyte zivela kumakhosombe edatha amnyama angabhalwanga, angalawulwa ahlakazeke ezingqalasizinda zebhizinisi
- I-Interprise AI idinga idatha yekhwalithi ephezulu ukuletha imiphumela yebhizinisi enembile, ephephile, nevikelekile efakazela ukutshalwa kwezimali okubalulekile okwenziwa kubuchwepheshe be-AI
- I-Intelligent Data Classification (IDC) inikwa amandla ubuhlakani bokwenziwa manje ingacubungula ngokuzenzakalelayo futhi ihlukanise inani elikhulu lokuqukethwe okungahleliwe obekungenzeki ngaphambili ukuhlaziywa esikalini.
- Izinhlaka zokuphatha idatha zibe zibalulekile ekulawuleni ukuphepha, ukuthobela, kanye nokulawula ukufinyelela kuzo zonke izinhlobo zedatha ezahlukahlukene ngenkathi kunika amandla imininingwane eshayelwa yi-AI
Ongakufunda
Leli phepha elimhlophe linikeza isiqondiso esisebenzayo kanye nemininingwane yamasu yezinhlangano ezilungele ukuguqula amafa azo edatha abe ubuhlakani be-AI:
- Ungazihlonza kanjani futhi uzihlole kanjani izinqolobane zedatha ezimnyama zenhlangano yakho - okuhlanganisa izindlela zokuthola, ukwenza ikhathalogi, nokuhlola inani elinamandla lempahla yedatha ekhohliwe
- Amasu okusebenzisa ukuhlukaniswa kwedatha okunamandla e-AI kanye nokubusa - ehlanganisa ubuchwepheshe, izinqubo, kanye nezinguquko zenhlangano ezidingekayo ukuze kuphathwe idatha engahlelekile esikalini sebhizinisi
- Imikhuba emihle yokulungiselela idatha engahlelekile yezinhlelo zokusebenza ze-Enterprise AI - okuhlanganisa ukuhlanzwa kwedatha, ukucebisa, namasu okuhlela akhulisa ukusebenza kwemodeli ye-AI
- Izindlela zokunciphisa ubungozi zokuthobela, ukuphepha, nobumfihlo bedatha - ukubhekana nezinselele zokulawula nokuvikeleka ezihlobene nokusebenzisa amaqoqo edatha ayengabuswa ngaphambilini
- Izinhlaka ze-ROI zokulinganisa inani lebhizinisi lezinhlelo zokuvuselela idatha - ukuhlinzeka ngamamethrikhi nezindlela zokulinganisa ukuze kuboniswe umthelela wezezimali wamaphrojekthi wokuguqulwa kwedatha
- Imigwaqo yendlela yomhlaba wangempela yokuguqula idatha ibe yi-AI intelligence - inikeza isiqondiso sesinyathelo nesinyathelo sezinhlangano ezigabeni ezihlukene zohambo lwazo lokuvuthwa kwedatha
Dawuniloda leli phepha elimhlophe elibanzi ukuze ufunde ukuthi inhlangano yakho ingashintsha kanjani impahla yedatha ekhohliwe ibe ubuhlakani be-AI obunamandla obuqhuba inzuzo yokuncintisana nokukhula kwebhizinisi.
Mayelana Nombhali:
UJohn Ottman inesipiliyoni seminyaka engaphezu kwengama-30 ngezicelo zebhizinisi nengqalasizinda yamafu. Njengamanje unguSihlalo Omkhulu we-Solix Technologies, Inc. kanye noMsunguli kanye noSihlalo we-Minds Inc.
Kubuyekezwe okokugcina: Juni 2025