Chosowa cholumikizira pakupezera kugula komwe kumayendetsedwa ndi data molondola

Sinthani njira yanu yogulira, koma chitani molondola

Atsogoleri amasiku ano azogula akudziwa kale kuti tsogolo laogula limayendetsedwa ndi data. Koma tiyeni tidziwitse kwa mphindi imodzi. Kodi kugula zinthu zoyendetsedwa ndi data ndi chiyani kwenikweni? Kodi ndi zomangamanga ziti zomwe muyenera kuzizindikira? Ndipo pankhani ya msinkhu, tsopano muli kuti?

Masiku ano, sitingaganize zokhala pamwambo koma osawona amodzi mwamabuku awa: luntha lochita kupanga (AI), kuphunzira pamakina (ML), nzeru zamabizinesi (BI) ndi ena ambiri. Kodi izi zikumveka bwino? Sizangochitika mwangozi kuti mawu awa atha kupezeka pa kanema iliyonse, chikwangwani kapena kanema wotsatsa ndipo mwina zimakuyambitsa. Ndiabwino, otsogola ndipo tsogolo lawo likhala lodzaza ndi iwo. Chifukwa chake, kuti mupeze pulogalamuyi ndikuzidziwa bwino maluso awa ndikutha kumvetsetsa momwe angathandizire bizinesi yanu ndi ntchito za tsiku ndi tsiku. Mukamachita, chinthu chanzeru kwambiri kuyamba nacho, ndikuwona zomwe zili pamaziko azinthu izi: kupezeka kosavuta kwa deta, deta yapamwamba kwambiri.

Ma algorithms ndi data - zinthu zoti mudziwe ngati mukufuna kuti akhale okwatirana mosangalala

Ma algorithms amatha kukupatsirani chidziwitso chazotheka. Mwachitsanzo, amatha kuwona (mchira) momwe amawonongera ndalama, akuyembekeza zosintha pakufuna kwamakasitomala ndikuzindikira zovuta pazogula zisanachitike. Mukamaliza bwino, maluso awa ndiofunika kwambiri ndipo ndi ofunikira kuti mugule bwino ntchito.

Komabe, tikuwona akatswiri ambiri ogula zinthu omwe akuvutika ndi maziko omwe ali ndi zodetsa komanso zoyipa zomwe sizingatheke (komanso mwachangu) kupezeka. Ma algorithms atha kukhala anzeru, komabe akadali makina. Izi zikutanthauza kuti ngati mudzawadyetsa zinyalala (chifukwa cha mbiri yoyipa ya data), akupatsani zinyalala ngati zotulutsa. Izi zimatchedwa the zinyalala mu = zinyalala zituluke mfundo, ndipo ndi mkhalidwe womwe simukufuna kudziyika nokha ngati mtsogoleri wazogula. Zizindikiro zakukhala ndi maziko osakwanira omwe timawona, ndikuti mutha kuzindikira, pakuchita ndi:

  • Zimatenga masabata ndipo nthawi zina mwinanso miyezi kuti mupeze zofunikira
  • Osakwanira kuchuluka kwa deta komanso kusowa kwa deta
  • Dothi lonyansa- komanso loyipa, losowa zambiri komanso zolakwika
  • (Zachinsinsi) zosavomerezeka motero zosafikirika
  • Ma trajectories owononga nthawi ndi njira zamkati kuti mupeze zidziwitso zofunikira
bad_data_foundation_kupititsa patsogolo
Maziko osakwanira bwino amtundu wa data atha kubweretsa kuzindikira kocheperako

Maziko olimba omwe dipatimenti yanu yogula zinthu imafunikira

Kodi njira zogulira zogulira mtsogolo zimawoneka bwanji? Mwachidziwikire, wina angafune kukhala ndi maziko olimba osavuta kugwiritsa ntchito mosavuta komanso apamwamba kuti athe kuzindikira zatsopano zomwe zayendetsedwa ndi ma buzzwords omwe atchulidwawa (mwachitsanzo AI, ML, BI etc.). Ndi maziko olimba oterewa, chidziwitso chapamwamba chimakupatsirani zotsatira zabwino kwambiri komanso kuzindikira komwe kungalimbikitse dipatimenti yanu yogula zinthu ndipo kukupatsani mwayi waukulu poyerekeza ndi omwe alibe maziko oyenera a deta.

Ndiye timachita bwanji izi molondola?

Chingwe chimakhala cholimba ngati chingwe chake chofooka. Ndipo pazinthu zogula, maulalo ambiri amapezeka kale ndipo ndiosavuta kuyigwiritsa ntchito. Komabe, pali cholumikizira chimodzi chovuta chomwe chikusowa. Kodi mungakhazikitse bwanji maziko olimba azidziwitso ndipo mungayambire pati ngati mtsogoleri wazogula?

Maziko olimba a deta
Maziko olimba azidziwitso amadzetsa chidziwitso cholimba komanso chomveka

Kutengera zovuta zomwe dipatimenti yanu yogula zinthu ilimbana nayo, Syntho atha kukuthandizani kukhazikitsa maziko olimba a deta. Zitsanzo zina zomwe Syntho amathandizira:

  • Kupanga (zachinsinsi) zinsinsi zomwe zimapezeka mosavuta osataya mtundu
  • Yendetsani kufulumira kwa zidziwitso (zachinsinsi) kuyambira masabata (ndipo nthawi zina miyezi) mpaka maola
  • Sanjani mwamphamvu mavuto amtundu wa deta monga kusowa / zolakwika
  • Pakakhala zovuta zakusowa kwa data (kuphunzitsa mwachitsanzo ma algorithms), titha kuyika gawo lokhazikika / zowerengera komwe zambiri zamaphunziro apamwamba ndizofunikira kwambiri
  • Kupanga zowonjezerapo zopanga zanzeru ndi mitundu yofananira, mawonekedwe ndi maubale owerengera monga zomwe muli nazo pachiyambi

Kodi mukuzindikira zovuta zomwe tanena kale? Ndipo kodi nkhaniyi ikuthandizani kuti mumvetse bwino zaulendo wanu wopita kuntchito zogula zinthu komanso kuchuluka kwanu kwa umayi? Tikufuna kumva komwe mukuyima, zovuta zomwe mumakumana nazo komanso mayankho anu onse. Chifukwa chake, Syntho adzapezeka pamsonkhano wa DPW Procurement pa Seputembara 15th ndipo 16th. Chonde khalani omasuka kutero Lumikizanani nafe ndipo mutifunse mafunso onse omwe muli nawo. Ingofikirani kudzera pa DPW-nsanja or Lumikizanani nafe molunjika kuti mupititse patsogolo kuzama mtsogolo kwa kugula komwe kumayendetsedwa ndi data.

gulu la anthu akumwetulira

Zambiri ndizopanga, koma gulu lathu ndi lenileni!

Lumikizanani ndi Syntho ndipo m'modzi mwa akatswiri athu azilumikizana nanu pa liwiro la kuwala kuti awone kufunikira kwa zopanga!

Mukufuna kudziwa zambiri zamtundu wa data yopangira? Onani kanema wa SAS akuwunika deta yathu yopanga!

Ubwino wa data wa data yopangidwa poyerekeza ndi deta yoyambirira ndiyofunikira. Ichi ndichifukwa chake posachedwapa tidakhala ndi webinar ndi SAS (mtsogoleri wamsika mu analytics) kuti awonetse izi. Akatswiri awo amasanthula adawunika zopangira zopangidwa kuchokera ku Syntho kudzera pakuwunika kosiyanasiyana (AI) ndikugawana zotsatira. Mutha kupezanso mwachidule za izi muvidiyoyi.