Overview
Glean ibhizimusi rekutsvaga AI uye mubatsiri webasa rinobatanidza kune ese emakambani maapps kuti apindure mibvunzo uye nekuwana ruzivo mukati mawo. Izvo zvine basa nekuti inoshandura ruzivo rwekambani yakapararira kuita inokurumidza kutsvaga, mvumo-inoziva mubatsiri.
Glean inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Yakavambwa muna 2019 naArvind Jain (aimbove Google injiniya uye Rubrik co-muvambi) uye timu, Glean akagadzirira kugadzirisa dambudziko rinoshungurudza: vashandi vanopedza maawa vachivhima ruzivo rwakapararira kuSlack, Google Dhiraivha, Girazi, Sarudzo, Confluence, Girazi, Girazi, Confluence mamwe maturusi. Glean inovaka yakabatana, yekambani-chaiyo ruzivo girafu uye yekutsvaga index mukati meaya masisitimu, yobva yaisa gadzira AI pamusoro kuitira kuti vashandi vabvunze mibvunzo yemutauro wechisikigo uye kuwana mhinduro dzakadzika nezvinongedzo kune masosi. Zvine hutsinye, inoremekedza mvumo yekuwana iripo, saka vanhu vanongoona zvavanotenderwa. Glean yakawedzera kubva pakutsvaga kuita 'Glean Mubatsiri' uye maejenti ekuvaka maturusi, ichizvimisa seyakachinjika basa AI chikuva. Yakakura nekukurumidza, ichisvika pakukosheswa kwemabhiriyoni emadhora sezvo mabhizinesi aitsvaga yakachengeteka, yemukati imwe nzira kune yevatengi chatbots.
Technical Insight
Glean inobatana neSaaS maapplication kuburikidza neAPIs, indexing zvinyorwa uye mameseji uchichengetedza yega yega yekuwana-kutonga runyorwa (ACL). Inovaka girafu yeruzivo inobata vanhu, zvikwata, mapurojekiti, uye hukama hwemukati, pamwe nemasigiro akaita seazvino uye hunyanzvi hwekuisa mibairo. Pamibvunzo, inoshandisa kudzoreredza-yakawedzerwa chizvarwa: inowana akakodzera magwaro anotenderwa, inoapa iwo kune yakakura modhi yemutauro, uye inodzorera mhinduro yakanyorwa. Kutevedzwa kwemvumo panguva yekubvunza kunoita kuti vashandisi vasamboona zvinorambidzwa.
Kudzidza Glean
Glean ibhizimusi rekutsvaga AI uye mubatsiri webasa rinobatanidza kune ese emakambani maapps kuti apindure mibvunzo uye nekuwana ruzivo mukati mawo. Izvo zvine basa nekuti inoshandura ruzivo rwekambani yakapararira kuita inokurumidza kutsvaga, mvumo-inoziva mubatsiri. Glean inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Glean semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Glean zvinoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Injiniya mutsva anobvunza Glean kuti 'ndinoisa sei padanho?' uye inowana mhinduro yakaunganidzwa kubva mukati wikis uye Slack tambo, ine zvinongedzo.
Mutengesi anobvunza Glean yeazvino deki, mitengo, uye manotsi eakaundi pane tarisiro, yakadhonzwa kubva kuDrive, Salesforce, uye email kamwechete.
Mumiriri anoshandisa Glean kutsvaga gadziriso yepamutemo yebug inodzokororwa mumatikiti eJira nemainjiniya magwaro.
Chikwata cheHR chinovaka mumiriri weGlean anopindura mabhenefiti evashandi uye mibvunzo yemitemo yakavakirwa mumagwaro emukati akabvumidzwa.
Maitiro Ekuita
Kunhonga mukuita
Injiniya mutsva anobvunza Glean kuti 'ndinoisa sei padanho?' uye inowana mhinduro yakaunganidzwa kubva mukati wikis uye Slack tambo, ine zvinongedzo.
Injiniya mutsva anobvunza Glean kuti 'ndinoisa sei padanho?' uye inowana mhinduro yakaunganidzwa kubva mukati mawikis uye Slack shinda, ine zvinongedzo Zvikwata zvinowanzowana mhedzisiro iri nani kana vachitsanangudza zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kunhonga mukuita
Mutengesi anobvunza Glean yeazvino deki, mitengo, uye manotsi eakaundi pane tarisiro, yakadhonzwa kubva kuDrive, Salesforce, uye email kamwechete.
Mutengesi anobvunza Glean kune yazvino dhizaini, mitengo, uye account manotsi pane tarisiro, yakadhonzwa kubva kuDrive, Salesforce, uye email kamwechete Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kunhonga mukuita
Mumiriri anoshandisa Glean kutsvaga gadziriso yepamutemo yebug inodzokororwa mumatikiti eJira nemainjiniya magwaro.
Mubatsiri anoshandisa Glean kutsvaga gadziriso yepamutemo yebug inodzokororwa mumatikiti eJira nemainjiniya docs Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Kunhonga mukuita
Chikwata cheHR chinovaka mumiriri weGlean anopindura mabhenefiti evashandi uye mibvunzo yemitemo yakavakirwa mumagwaro emukati akabvumidzwa.
Chikwata cheHR chinovaka mumiriri weGlean anopindura mabhenefiti evashandi uye mibvunzo yepolicy yakavakirwa mumagwaro emukati akatenderwa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.