The Solution

AI-yekuzvarwa data chikuva icho chine chinangwa-chakavakwa kuita bhizinesi data zvechokwadi AI-yakagadzirira

Iyo AI Warehouse chizvarwa chechina, AI-yekuzvarwa chikuva chakagadzirirwa kuita bhizinesi data zvechokwadi AI-yakagadzirira. Inogadzirisa zvakakamurwa data estates nekubatanidza data rakarongeka uye risina kurongeka kuburikidza nehurongwa hwakasimba hwekutonga, kuve nechokwadi chekutevedzera, chengetedzo, uye kushanda zvakanaka. Papakati payo, inosanganisa AI semantics, metadata manejimendi, uye semantic hupfumi kutsigira hungwaru kurongwa kwedata uye manejimendi.

Yakavakirwa kukurumidzira kutorwa kweAI, iyo AI Warehouse inogonesa modhi yekushandira, agenti otomatiki, uye nekukurumidza-yakavakirwa bhizinesi njere, kuendesa inotevera-nhanho AI analytics. Iyi puratifomu inosimudzira ese AI kuchengetedzeka uye kuchengetedzeka, kuve nechokwadi chekuti masangano anogona kufamba kubva kumapurojekiti ekutyaira kuenda kune yakazara-chiyero kugadzirwa uku achienzanisa hunyanzvi nehutongi. Nekumisikidza data tiering (kupisa, kudziya, kutonhora) uye kutsigira ese ari maviri akavanzika, eruzhinji, uye echitatu-bato data masosi, inotyaira kusanganisa kusanganisa munzvimbo dzakawanda dzemakore uye inokwirisa kuchengetedza data kune akasiyana mabasa.

Iyo AI Warehouse inopa simba mabhizinesi kuti awedzere generative AI, chatbots, uye hunyanzvi kunyorera muAI Pharma neAI Healthcare. Nekumisikidza hutongi hweAI uye semantic layer, inova nechokwadi chekuti data yakagadzirira AI, inosimudzira kugadzirira kwesangano, uye inotsigira maitiro ekuvhiringidza manejimendi. Pakupedzisira, iyo AI Warehouse ndiyo hwaro hweAI-yekuzvarwa hungwaru, ichigonesa mabhizinesi kukwira maatomu avo eAI uye kutyaira shanduko yakadzikama mumaindasitiri.

RISE yeMetadata

Metadata ndiyo YECORE data mune 4th chizvarwa AI Warehouse data mapuratifomu

Metadata-se-data

Mune yechina-chizvarwa data mapuratifomu, metadata inoita basa rakakosha sechinhu chepakati chinobatanidza ruzivo rwekuvaka (IA) kusvika kuAI uye inogonesa AI kusimudzira IA. Metadata inoshanda seyekutanga layer inobatanidza kwakasiyana data masosi, ichipa pachena, traceability, uye mamiriro. Inotevedzwa uye inotungamirwa sebhizinesi-yakakosha data, kuve nechokwadi chese hunhu, senge mutsara, shanduko yekutora data, uye ongororo, yakanyorwa zvizere uye inowanikwa kune hutongi uye kutevedzera.

Iyi yakasimba metadata manejimendi yakakosha pakuona chokwadi uye kuvimbika kwemhando dzeAI. Inopa nzira yekuongorora uye inovimbisa kuzvidavirira nekusimbiswa kunotsigirwa nekutarisa kwevanhu, kuenzanisa otomatiki nemacheki anodiwa.

Iyo yakazara metadata sevhisi inotambanukira munzvimbo dzese dzedata, ichibatanidza masosi akasiyana sezvitoro zvevector, MCPs (Model Context Protocols), uye vamiririri. Kuwedzerwa uku kunobvumira chikuva kuti chishande munzvimbo dzakasiyana siyana uye makesi ekushandisa, kuve nechokwadi chekubatanidzwa kwedata pasina uye kupa simba zvirongwa zveAI kuti zvikwire zvinobudirira uye zvakachengeteka mubhizinesi rese.

Nheyo Dzakakosha

Misimboti mitanhatu yeAI Kugadzirira uye Kuvimba

Nheyo nhanhatu dzinovimbisa AI-yakagadzirira data kuburikidza nehurumende-yekutanga chirango kuendesa kuvimba, kutevedzera, uye inobatika manzwisisiro pane ese mabhizinesi AI mabasa.

Hurumende-Yekutanga Maitiro

Iyo Govern-Yekutanga Nzira muAI Warehouse inyanzvi yehuzivi inosimbisa kudzvanya hutongi hwedata, chengetedzo, uye kutevedzera zvakananga muhwaro hwepuratifomu yedata uye yese AI lifecycle.

Utongi hwakaiswa pahwaro
Inovimbisa kutevedza, chengetedzo, uye kuvimbika kune yese data uye AI lifecycle
Inofamba kupfuura static mitemo kune adaptive
Inopa kuenderera mberi kwekutarisa, mutsara, uye kuongororwa kudzikisa njodzi nekuvandudza kuzvidavirira

Dhata Uchangamire

AI Warehouse inogadzirisa hutongi hwedhata nekupa hunyanzvi uye hwekuvaka masisitimu (senge mafederated controls uye mibvunzo) kuti ive nechokwadi chekuti data rinoramba richienderana nemitemo yedunhu, kunyangwe ichigonesa ruzivo rwepasi rose runofambiswa neAI.

Centralised governance controls ine decentralized operations
Federated, AI-inotyairwa zvinodzora zvinoshanduka nekushandisa uye mutemo
Ita kuti muonero wemhiri-muganhu kuburikidza nemibvunzo yakasanganiswa, zvakaunganidzwa

Zero Data Copy

Zero Data Copy muAI warehouse imusimboti wekuvaka unogonesa kuwana uye kuongororwa kwedata zvakananga parinogara, pasina kufambisa kana kudhindisa munzvimbo yekuchengetera.

Data inoramba iripo, inowanikwa kuburikidza nemubatanidzwa, mitemo-inoziva zvidzoreso
Inoderedza kudzokorodza, njodzi, uye mutengo uku uchiwedzera kuita uye kuzvitonga

Yakabatana Metadata Repository

Iyo Unified Metadata Repository inowana otomatiki, ma tag, uye inoisa zvese zvakarongeka uye zvisina kurongeka bhizinesi data, ichigonesa hungwaru rekodhi uye kupatsanura faira kune ese zvigadzirwa zve data. Nekuvhenekera data rakasviba, rinoona kukosha uye kutevedza muAI yemabasa, kubatanidza AI hutongi hwemitemo yekuchengetedza, yakavimbika, uye AI-yakagadzirira data manejimendi musangano rese.

Inowana otomatiki, ma tag, uye tiers zvese zvakarongwa uye zvisina kurongeka zvinhu
Hungwaru rekodhi uye faira kupatsanurwa kwezvinhu zvese zvebhizinesi uye zvigadzirwa zvedata
Inovhenekera data rakasviba, ichivimbisa kukosha uye kutevedza muAI basa rekutakura

AI Semantics

AI Semantics muAI Warehouse inoreva kushandiswa kwehungwaru hwekunyepedzera uye epamberi data zvimiro kupfumisa zvinoreva, mamiriro, uye hukama hweese data data rebhizinesi, kushandura mbishi data mapoinzi kuita inowirirana uye inoita bhizinesi ruzivo.

Icho chirango chinoona kuti data haringorongedzerwe (Kuronga) asi rinonzwisiswa nevanhu uye maAI masisitimu.

Inopfumisa metadata ine taxonomies, ontologies, uye ruzivo magirafu eakagovaniswa mamiriro
Inoshandura data raw kuita zvinobatika nekuisa zvinoreva uye hukama

AI Analytics & Tsvaga

AI Analytics & Search inoreva kugona kunowedzera Artificial Intelligence, kunyanya Generative AI uye Natural Language Processing (NLP), kuitira kuti vashandisi vabatane uye vatore ruzivo kubva kubhizinesi data nenzira inonzwisisika, yakachengeteka, uye yakasarudzika.

Inopa yakachengeteka, basa-kuziva, mutauro wechisikigo uye mamiriro ekukurumidza akavakirwa bhizinesi njere uye analytics kune bhizinesi data.
Inopa vashandi simba nekukakavadzana kuwanikwa uye ruzivo uku vachichengeta kushomeka-kutevedzwa

Misimboti mitanhatu yeAI Kugadzirira uye Kuvimba

Resources

Zvekushandisa

Ongorora zviwanikwa zvine hukama kuti uwane ruzivo rwakadzama, madhairekitori anobatsira, uye matipi ehunyanzvi ebudiriro yako inoenderera.

White Paper
Enterprise AI: Yechina-chizvarwa Data Platform
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White Paper
Kudzoreredzwa kweData: Kushandura Yako Yakakanganikwa Dhata Kuita AI Hungwaru
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White Paper
Enterprise Ruzivo Rwekuvaka yeGen AI uye Kudzidza kweMuchina
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Datasheet
SOLIXCloud Enterprise AI
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Sei Us

Sei SOLIXCloud

SOLIXCloud inopa scalable, chengetedzo, uye inoenderana chengetedzo yegore iyo inokwirisa mitengo, inowedzera mashandiro, uye inova nechokwadi chekutonga kwedata.

Common Data Platform

Yakabatana inochengeterwa data yakarongeka, isina kurongeka uye semi-yakaumbwa.
Deredza Ngozi

Kuchengetedzwa kwePolisi uye kuchengetedza data
Kuramba Kutsigira

Solix inopa pasi-yepasi rutsigiro kubva kune nyanzvi 24/7 kusangana neako ekutonga data zvinodiwa.
Pane-inoda AI

Elastic inopa kuyera kuchengetedza uye kutsigirwa neprojekiti yako
Kutungamirirwa zvakakwana

Software se-a-sevhisi inopa
Yakachengeteka & Inopindirana

Yakakwana Data Governance
Yemahara Kutanga

Bhadhara-se-iwe-enda kunyoreswa kwepamwedzi saka unongotenga zvaunoda.
End-Mushandisi Hushamwari

Kupedzisira-mushandisi data kuwana nekuchinjika kune mafomati sarudzo.