Radio Frequency Identification (RFID) tekinoroji yagara iri musimboti chiyero chekugonesa chaiyo-nguva yekuona kutonga kwezvinhu. Kubva pakuchengetera zvinhu uye kutariswa kwezvinhu kusvika pakutariswa kweasset, kugona kwayo kwekuzivikanwa kunopa rutsigiro rwakavimbika kumabhizinesi kuti abate simba reasset munguva chaiyo. Nekudaro, sezvo mamiriro ekushandisa achiramba achiwedzera uye zviyero zvekuendesa zvichiwedzera, kuverenga zviitiko zvinogona kusvika mabhiriyoni, zvichigadzira huwandu hukuru hwe data yakabikwa. Izvi zvinowanzopinza mabhizinesi mudambudziko re "data kuwandisa" - zvakakamurwa uye zvakaoma ruzivo izvo zvinoita kuti zviome kukurumidza kuburitsa kukosha kunoita.

Muchokwadi, iro rechokwadi simba reRFID tekinoroji haringori mukuunganidza data pacharo, asi mubhizinesi rekuona rakavanzika mukati me data. Izvi ndizvo chaizvo kukosha kweArtificial Intelligence (AI): inogona kushandura zviitiko zvekuzivikanwa, senge "tegi iri kuverengwa," kuita maonero chaiwo anofambisa bhizinesi optimization. Iyo inogonesa iyo yakaunganidzwa yakakura data kuti ive zvechokwadi "asingaoneki mubatsiri" webhizinesi kuita sarudzo.

Kubatanidzwa kwakadzama kweAI nehungwaru hweIoT Hardware, senge yakakwira-inoshanda RFID modules, yakasanganiswa nekuwanda kwepasi rose kweRFID zviyero, iri kupinza simba rakasimba mukuita optimization mumaindasitiri akaita sekutengesa, zvinhu, kugadzira, uye hutano. Shanduko yemaindasitiri yatove kuenderera mberi; tiri kupinda munguva itsva yehungwaru otomatiki: Ultra-High Frequency (UHF) RFID tekinoroji inoita se "maziso," inonyatso kunzwa dhaka uye kutora dhata repakati, nepo Artificial Intelligence inoshanda se "uropi," inoongorora zvakadzama kukosha kwedata uye kutyaira sarudzo dzesainzi.