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10 Tekinoloje Zamakono Zomwe Zikusintha Kutsatsa Kwapa digito

Infographic pansipa imagwiritsa ntchito mawu akuti kusokoneza koma nthawi zina liwu kusokoneza ali ndi tanthauzo loipa. Sindikhulupirira kuti malonda a digito lero akusokonezedwa ndi teknoloji iliyonse yamakono, ndikukhulupirira kuti ikusinthidwa ndi izo.

Otsatsa omwe amasintha ndikugwiritsa ntchito matekinoloje atsopano amatha kusinthitsa, kuchita nawo, komanso kulumikizana ndi chiyembekezo chawo ndi makasitomala m'njira zopindulitsa kwambiri. Masiku otsekemera ndi kuphulika akusunthira kumbuyo kwathu pamene machitidwe akukhala bwino pakulunjika ndikuwonetseratu machitidwe a ogula ndi mabizinesi.

Funso, kumene, ndiloti zidzachitika munthawi yake. Digital ndi njira yotsika mtengo kwambiri kotero kuti machitidwe osavomerezeka amagwiritsira ntchito nkhanza zachinsinsi za ogula ndikuwononga zotsatsa pamaso pawo kaya atha kupanga zisankho kapena ayi. Tiyeni tiyembekezere kuti zowongolera sizikwiya kwambiri ndipo makampani atha kugwira ntchito kuti achepetse nkhanza paokha. Sindikukhulupirira kuti zichitika, komabe.

Malinga ndi World Economic Forum, zoyendetsa zinayi zazikuluzikulu zakusinthaku ndikukula kwa mafoni, cloud computing, Artificial Intelligence (AI), ndi intaneti-za-Zinthu (IoT). Komabe, zamakono zamakono monga Big Data ndi Virtual Reality (VR) amanenedweratu kuti asintha kwambiri mawonekedwe.

Padziko Lonse Padziko Lonse

Tekinoloje zatsopanozi zimayembekezeredwa kuti zibweretse kulumikizana kwakukulu padziko lapansi kudzera pama touchpoints angapo, zomwe zikutanthauza kuti zimphona za intaneti sizidzakhalanso ndi chiwongolero chambiri pamasitomala. Chofunika koposa, zithandizira otsatsa malonda kupanga zopanga zowonjezereka komanso zowunikira mtsogolo.

Spiralytics iphatikize izi infographic, Ukadaulo Watsopano Kusokoneza Kutsatsa Kwama digito, tsatanetsatane wa matekinoloje 10 omwe akuchulukitsa zoyesayesa zathu, ndikusintha mawonekedwe azotsatsa zama digito.

Big Data

Deta yayikulu ndi mawu omwe amafotokoza kuchuluka kwa deta - zonse zokonzedwa komanso zosasinthika - zomwe zimasokoneza bizinesi tsiku ndi tsiku. Izi zitha kubwera kuchokera kuzinthu zambirimbiri, monga mabizinesi, malo ochezera a pa Intaneti, masensa, zithunzi zama digito, makanema, ndi zina zambiri. Mawuwa samangokhudzana ndi kukula kwa deta komanso amaphatikizapo luso lamakono lomwe limagwiritsidwa ntchito poyang'anira ma dataset akuluakulu.

Lingaliro la data yayikulu nthawi zambiri limalumikizidwa ndi ma Vs atatu:

  1. Vuto: Mabungwe amasonkhanitsa deta kuchokera kuzinthu zosiyanasiyana, ndipo chifukwa cha kukwera kwa intaneti, malo ochezera a pa Intaneti, ndi zipangizo za IoT, kuchuluka kwa deta yopangidwa ndi kusonkhanitsidwa kwawonjezeka kwambiri. Voliyumu iyi ikupereka zovuta zomwe zachitika posachedwa pamapangidwe wamba a IT.
  2. Mathamangidwe: Izi zikutanthawuza kuthamanga komwe deta yatsopano imapangidwira komanso kuthamanga komwe deta imayendayenda. Ndi kukula kwa intaneti ndi zida zanzeru, deta ikupangidwa pafupifupi mosalekeza pa liwiro lomwe silinachitikepo.
  3. Zosiyanasiyana: Izi zikutanthauza mitundu yambiri ya data yomwe ilipo. Mitundu yodziwika bwino ya data idapangidwa ndikukwanira bwino munkhokwe yolumikizana. Ndi kukwera kwa data yayikulu, deta imabwera mumitundu yatsopano yosasinthika. Mitundu ya data yosalongosoka, monga mawu, zomvera, ndi makanema, imafunikira kukonzanso kowonjezera kuti mupeze tanthauzo ndikuthandizira metadata.

Ma Vs awiri owonjezera nthawi zina amaphatikizidwa:

  1. Chidwi: Izi zikutanthawuza ubwino wa deta, yomwe imatha kusiyana kwambiri. Ubwino wa data ukhoza kusokonezedwa chifukwa cha kusagwirizana kwa data, monga magulu olembedwa molakwika, kusowa, kapena zina zakunja.
  2. Zamtengo: Izi zikutanthauza kuthekera kwathu kusandutsa deta yathu kukhala yamtengo wapatali. Ndibwino kukhala ndi mwayi wopeza deta yayikulu koma pokhapokha titha kuyisintha kukhala yamtengo wapatali ndizopanda pake. Apa ndipamene ma analytics apamwamba, kuphunzira pamakina, ndi sayansi ya data zimayambira.

Deta yayikulu imatha kufufuzidwa kuti mupeze zidziwitso zomwe zimatsogolera ku zisankho zabwinoko komanso kusuntha kwamabizinesi. Amagwiritsidwa ntchito m'magawo ambiri kuphatikiza malonda, chisamaliro chaumoyo, kupanga, ndi ndalama. Komabe, kukonza ndi kusanthula deta yayikulu kungakhale kovuta ndipo kumafuna mapulogalamu apadera, zida, ndi luso.

Kodi Big Data Transforming Digital Marketing Ndi Chiyani?

Zambiri zakhudza kwambiri malonda a digito m'njira zingapo:

  • Kusintha Makonda ndi Makonda: Deta yayikulu imalola ogulitsa kumvetsetsa makasitomala awo bwino. Pakuwunika zambiri kuchokera kumadera osiyanasiyana monga malo ochezera a pa Intaneti, malo osakira, ndi machitidwe ogula pa intaneti, otsatsa amatha kupanga makampeni otsatsa omwe akufuna makonda. Mulingo wochulukirawu wakusintha mwamakonda uku kumapangitsa kuti makasitomala azitenga nawo mbali komanso kutembenuka mtima.
  • Maulosi Olosera: Deta yayikulu imalola otsatsa kulosera zamakhalidwe a kasitomala, zosowa, ndi zomwe zidzachitike m'tsogolo. Kusanthula kwamtsogoloku kungathandize pokonzekera njira zotsatsa bwino komanso kukhala patsogolo pa mpikisano.
  • Kupanga zisankho bwino: Zambiri zimapereka zidziwitso zomwe zingathandize popanga zisankho mwanzeru. Otsatsa amatha kuzindikira zomwe zikugwira ntchito ndi zomwe sizili m'makampeni awo, ndikupanga kusintha kofunikira.
  • Makasitomala Mapu a Ulendo: Deta yayikulu imathandizira kumvetsetsa ulendo wathunthu wamakasitomala pamakina angapo ndi ma touchpoints. Kumvetsetsa kumeneku kumathandizira kukulitsa njira yotsatsira kuti atembenuke bwino pagawo lililonse laulendo wamakasitomala.
  • Kutsatsa Nthawi Yeniyeni: Kutha kukonza deta yayikulu munthawi yeniyeni kumalola otsatsa kuyankha pamachitidwe a kasitomala nthawi yomweyo, kupereka zinthu kapena ntchito zomwe zikufunika. Kutsatsa kwanthawi yeniyeni kumeneku kungawongolere kwambiri kutembenuka mtima.
  • Gawo: Zothandizira zazikulu za data pakugawa makasitomala molondola kwambiri malinga ndi machitidwe awo, zomwe amakonda, kuchuluka kwa anthu, ndi zina. Kugawika kwatsatanetsatane kumeneku kumalola kuti pakhale kampeni yotsatsa yomwe imayang'ana kwambiri komanso yothandiza.
  • Kulimbitsa ROI: Mothandizidwa ndi deta yaikulu, ogulitsa akhoza kusanthula kubwerera ku ndalama (ROI) ya makampeni awo molondola kwambiri, ndikusintha njira zawo zotsatsa malonda moyenerera kuti akulitse ROI.
  • Kuwunika Kwampikisano: Zambiri zitha kugwiritsidwanso ntchito kuyang'anira zochita ndi njira za omwe akupikisana nawo, kupereka zidziwitso zofunikira kuti mukhalebe opikisana pamsika.
  • Kulimbitsa Kasitomala: Zambiri zitha kugwiritsidwa ntchito kupititsa patsogolo ntchito zamakasitomala pozindikira zovuta zomwe zimachitika nthawi zambiri, kulosera zamavuto omwe angakhalepo, komanso kupereka chithandizo chamunthu payekha.
  • Zatsopano: Mwa kuwulula zomwe zikuchitika, machitidwe, ndi zidziwitso zomwe zidabisidwa kale kapena zosadziwika bwino, deta yayikulu imatha kubweretsa njira zatsopano zotsatsira ndi kampeni.

Zotsatira zonsezi zimapangitsa deta yayikulu kukhala chida chamtengo wapatali pakutsatsa kwa digito. Pomwe ukadaulo ukupitilirabe kusintha, kugwiritsa ntchito deta yayikulu pakutsatsa kumakhala kofala kwambiri.

Nzeru zochita kupanga

Nzeru zochita kupanga (AI) amatanthauza kuyerekezera nzeru za anthu m’makina opangidwa kuti aziganiza ngati anthu n’kumatengera zochita zawo. Mawuwa nthawi zambiri amagwiritsidwa ntchito ponena za makina kapena makompyuta omwe amatha kugwira ntchito zomwe nthawi zambiri zimafuna nzeru zaumunthu, monga kumvetsetsa chinenero chachibadwa, kuzindikira machitidwe, kuthetsa mavuto, ndi kupanga zosankha.

AI ikhoza kugawidwa m'magulu awiri akuluakulu:

  • Narrow AI: Imadziwikanso kuti Weak AI, luntha lochita kupanga lotere limagwira ntchito mocheperapo ndipo ndikuyerekeza kwanzeru zamunthu. Narrow AI nthawi zambiri imayang'ana pa ntchito imodzi, monga kuzindikira mawu. Iyi ndi AI yomwe timayiwona paliponse masiku ano monga othandizira digito, machitidwe ovomerezeka, mapulogalamu ozindikiritsa zithunzi, ndi zina zotero.
  • General AI: Imadziwikanso kuti Strong AI, mtundu uwu wa AI umatha kumvetsetsa, kuphunzira, kusintha, ndikugwiritsa ntchito chidziwitso pamitundu ingapo yantchito pamlingo wamunthu. Sichimangogwira ntchito imodzi yokha koma imatha kusamutsa kuphunzira kuchokera kumadera ena kupita ku ena.

Artificial Intelligence ndi gawo lalikulu lomwe limaphatikizapo maphunziro ndi matekinoloje ambiri, kuphatikiza kuphunzira pamakina (komwe makina apakompyuta amadyetsedwa zambiri, zomwe amagwiritsa ntchito popanga zisankho pazambiri zina), kukonza zilankhulo zachilengedwe (kuthekera kwa makompyuta kumvetsetsa anthu. chinenero), masomphenya apakompyuta (kuthekera kwa makompyuta kuti onani ndikutanthauzira zowoneka), ndi zina.

Kodi AI Ikusintha Bwanji Digital Marketing?

AI ikusintha kwambiri msika wa digito m'njira zambiri:

  1. Makonda: AI imatha kusanthula zambiri kuti imvetsetse machitidwe a ogula ndikupanga zokumana nazo makonda. Mwachitsanzo, AI itha kugwiritsidwa ntchito popereka zomwe mwakonda, malingaliro, ndi kukwezedwa kwa ogwiritsa ntchito payekhapayekha malinga ndi machitidwe awo, zomwe amakonda, ndi zomwe adakumana nazo m'mbuyomu.
  2. Maulosi Olosera: AI ikhoza kusanthula deta ndi machitidwe am'mbuyomu kuti zilosere zomwe zidzachitike m'tsogolo. Mwachitsanzo, imatha kulosera zomwe kasitomala angasangalale nazo, kapena nthawi yomwe angakhale okonzeka kugula. Izi zitha kuthandiza mabizinesi kutsata zotsatsa zawo mogwira mtima.
  3. Thandizo lamakasitomala: Ma chatbots a AI ndi othandizira enieni amatha kupereka chithandizo chamakasitomala 24/7, kuyankha mafunso wamba, kupereka zidziwitso, komanso kuthandizira pakugulitsa. Izi sizimangowonjezera luso lamakasitomala komanso zimamasula anthu kuti azigwira ntchito zovuta.
  4. Kupanga Zinthu: AI ikhoza kupanga mitundu ina yazinthu, monga malipoti, zosintha zankhani, kapena nkhani zosavuta. Izi zitha kuthandiza mabizinesi kuti azisunga zatsopano komanso zofunikira popanda kufunikira kolimbikira ndi anthu.
  5. Kukhathamiritsa Malonda: AI imatha kusanthula momwe zotsatsa zosiyanasiyana zimagwirira ntchito ndikuzisintha kuti ziwonjezeke. Itha kuthandizanso kutsata zotsatsa kwa anthu oyenera komanso munthawi yoyenera.
  6. Kusaka ndi Mawu: Ndi kukwera kwa othandizira a AI opangidwa ndi mawu monga Siri, Alexa, ndi Google Assistant, kusaka kochulukira kukuchitika kudzera m'mawu. Izi zimakhala ndi zotsatira zake SEO ndi kutsatsa kwazinthu, zomwe zimafuna kuti mabizinesi azikwaniritsa kusaka ndi mawu.
  7. Kuzindikira Zithunzi ndi Kulankhula: Matekinoloje apamwamba a AI monga kuzindikira zithunzi ndi malankhulidwe amatha kutsegulira mwayi watsopano wotsatsa digito. Mwachitsanzo, kuzindikira zithunzi kumatha kugwiritsidwa ntchito potsatsa pazama TV kuti muzindikire zithunzi zokhudzana ndi mtundu kapena chinthu, pomwe kuzindikira kwamawu kumatha kugwiritsidwa ntchito potsatsa makanema kuti mulembe ndikusanthula mawu olankhulidwa.
  8. Kusanthula Zambiri: Ma algorithms a AI amatha kukonza ndikusanthula kuchuluka kwa data moyenera komanso molondola kuposa anthu. Izi zitha kupatsa mabizinesi zidziwitso zamtengo wapatali za omvera awo, momwe amagwirira ntchito, komanso momwe msika ukuyendera.

Mwachidule, AI ikupanga kutsatsa kwa digito kukhala kothandiza, kogwira mtima, komanso kwamunthu. Zimathandizira mabizinesi kumvetsetsa makasitomala awo bwino, kuwafikira bwino, ndikuwapatsa zokumana nazo zabwinoko. Komabe, zimafunikanso kuti mabizinesi azikhala odziwa zambiri zaukadaulo ndi njira zaposachedwa komanso kuti azitha kuyang'anira nkhani zokhudzana ndi zinsinsi za data ndi kakhalidwe.

Kuphunzira Makina

Kuphunzira Makina (ML) ndi kagawo kakang'ono ka AI. Ndi njira yowunikira deta yomwe imapanga makina opangira ma analytics. Kwenikweni, ndi njira sitima ma aligorivimu kuti aphunzire momwe angapangire zisankho kapena kulosera motengera deta.

Ma algorithms ophunzirira makina amapangidwa kuti aziyenda bwino pakapita nthawi chifukwa amawonetsedwa ndi zambiri. The learning gawo la kuphunzira pamakina kumatanthauza kuti ma aligorivimu a ML amayesa kukhathamiritsa pamlingo wina; Izi nthawi zambiri zimatanthawuza kuti amafuna kuchepetsa zolakwika kapena kuonjezera mwayi woti zomwe akulosera zikhale zoona.

Pali mitundu ingapo yophunzirira makina, kuphatikiza:

  1. Kuyang'aniridwa kuphunzira: Ma algorithms amaphunzitsidwa pogwiritsa ntchito zitsanzo zolembedwa, kapena deta yomwe zotsatira zomwe mukufuna zimadziwika. Mwachitsanzo, algorithm ikhoza kuphunzitsidwa pa dataset ya chidziwitso cha odwala, pomwe a chizindikiro ndi chakuti wodwalayo wadwala matenda enaake kapena ayi.
  2. Kuphunzira osayang'aniridwa: Ma algorithms amagwiritsidwa ntchito ngati chidziwitso chomwe chimagwiritsidwa ntchito pophunzitsa sichikugawidwa kapena kulembedwa. Dongosolo silinauzidwe yankho lolondola, ndikuyenera kuzindikira zomwe zikuwonetsedwa. Imazindikiritsa machitidwe ndi maubale mu data.
  3. Zolimbikitsa kuphunzira: Ma algorithms amaphunzira kuchitapo kanthu kuchokera pazochitikira. Ndizokhudza kuchitapo kanthu koyenera kuti muwonjezere mphotho muzochitika zinazake. Amagwiritsidwa ntchito ndi mapulogalamu ndi makina osiyanasiyana kuti apeze njira yabwino kwambiri kapena njira yomwe iyenera kutsatiridwa pazochitika zinazake.

Ngakhale AI ndi ML nthawi zambiri amagwiritsidwa ntchito mosiyana, sizofanana. AI ndiye lingaliro lalikulu la makina otha kugwira ntchito m'njira yomwe tingaganizire anzeru. Kumbali ina, Kuphunzira Kwamakina ndikugwiritsa ntchito pano kwa AI. Zachokera pa lingaliro lakuti tiyenera kupatsa makina mwayi wopeza deta ndi kuwalola kuti aphunzire okha.

Mwanjira ina, kuphunzira pamakina kumawerengedwa ngati AI, koma si AI yonse yomwe imawerengedwa ngati kuphunzira pamakina. Mwachitsanzo, kachitidwe ka akatswiri ozikidwa pamalamulo angaganizidwe kuti ndi AI, koma popeza samaphunzira kuchokera ku data, sikungaganizidwe kuti ndi kuphunzira pamakina. AI ingaphatikizepo chilichonse kuchokera pamapulogalamu apakompyuta omwe amasewera masewera a chess, makina ozindikira mawu monga Alexa kutanthauzira ndikuyankha zolankhula, kapena galimoto yodziyimira payokha yogwiritsa ntchito masomphenya apakompyuta kuti ayende.

Kusiyana kwakukulu ndikuti ngakhale AI ikhoza kukonzedwa kuti igwire ntchito ndikuichita mobwerezabwereza, makina ophunzirira makina amapangidwa kuti aphunzire kuchokera ku zochitika, kusintha ndi kupititsa patsogolo ntchito zawo.

Kodi Kuphunzira Kwamakina Kukusintha Bwanji Kutsatsa Kwapa digito?

Machine Learning (ML) ikusintha kutsatsa kwa digito m'njira zazikulu pothandizira kutsata koyenera komanso kogwira mtima, makonda, komanso kumvetsetsa kwamakasitomala. Nazi njira zina zomwe ML imagwiritsidwira ntchito pakutsatsa digito:

  1. Maulosi Olosera: ML ikhoza kusanthula machitidwe a makasitomala akale ndikugwiritsa ntchito izo kulosera zamtsogolo ndi zomwe zidzachitike. Izi zitha kuthandiza otsatsa kudziwa zomwe kasitomala angachite pambuyo pake - monga zomwe angagule kapena nthawi yomwe angagule - ndikukonza njira zawo.
  2. Kutsatsa Kwamakonda: Ma algorithms a ML amatha kusanthula zambiri kuti amvetsetse zomwe kasitomala amakonda komanso machitidwe, kulola otsatsa kuti apereke zomwe amakonda, malingaliro, ndi zotsatsa. Izi zitha kupititsa patsogolo kuyanjana kwamakasitomala komanso kutembenuka mtima.
  3. Gawo la Makasitomala: ML imatha kusanthula zambiri zamakasitomala ndikuzindikira magawo osiyanasiyana kutengera zinthu zosiyanasiyana monga machitidwe, zomwe amakonda, komanso kuchuluka kwa anthu. Otsatsa amatha kugwiritsa ntchito chidziwitso ichi kulunjika gawo lililonse ndi mauthenga ogwirizana ndi zotsatsa.
  4. Kutsatsa Mwadzidzidzi: Pakutsatsa kwa digito, ML imatha kukhathamiritsa njira zotsatsa malonda munthawi yeniyeni, kuthandiza kuwonetsetsa kugwiritsa ntchito bwino bajeti yotsatsa kuti ikwaniritse zambiri. ROI.
  5. Ma Chatbots ndi Virtual Assistant: ML imapatsa mphamvu ma chatbots apamwamba ndi othandizira omwe amatha kuthana ndi zochitika zosiyanasiyana zamakasitomala, kupatsa makasitomala chithandizo chanthawi yomweyo, 24/7, ndikumasula anthu kuti azigwira ntchito zovuta.
  6. Kupanga Zinthu ndi Kusintha: ML ikhoza kuthandizira kupanga ndi kusamalitsa zomwe zili bwino. Mwachitsanzo, imatha kupanga zidziwitso kuchokera mu data yomwe ingasinthidwe kukhala zinthu, kapena ingapangire zofunikira kwambiri kwa wogwiritsa aliyense malinga ndi zomwe adachita m'mbuyomu.
  7. Kusanthula Maganizo: ML imatha kusanthula zolemba zapa media media, kuwunika kwamakasitomala, ndi mitundu ina yazinthu zopangidwa ndi ogwiritsa ntchito kuti amvetsetse malingaliro a kasitomala ndi mayankho, kupereka zidziwitso zofunikira pakuwongolera mtundu ndi chitukuko cha malonda.
  8. SEO ndi SEM: ML ikuthandizira kukhathamiritsa kwa injini zosakira ndi kutsatsa pomvetsetsa bwino momwe amasakira ndi machitidwe, ndikuwongolera zomwe zili ndi zotsatsa.
  9. Kukhathamiritsa Webusaiti ndi Kampeni: ML ikhoza kusanthula momwe ogwiritsa ntchito amalumikizirana ndi tsamba la webusayiti kapena kampeni yotsatsa ndikuzindikira zomwe zimagwira ntchito ndi zomwe sizingagwire, kulola kuyesa kosalekeza, kuphunzira, ndi kukhathamiritsa.

Pogwiritsa ntchito ML, mabizinesi atha kupangitsa kuti malonda awo a digito azikhala oyendetsedwa ndi data, makonda, komanso okonda makasitomala. Komabe, monga matekinoloje onse a AI, ML imabweretsanso zovuta zokhudzana ndi chinsinsi cha data, chitetezo, ndi makhalidwe omwe amayenera kuyang'aniridwa mosamala.

Bots ndi Chatbots

A Bot ndi pulogalamu yamapulogalamu yopangidwa kuti igwire ntchito zina. Maboti amangochita zokha, zomwe zikutanthauza kuti amathamanga molingana ndi malangizo awo popanda wogwiritsa ntchito kufunikira kuwayambitsa. Maboti nthawi zambiri amatsanzira kapena kusintha machitidwe amunthu. Nthawi zambiri amagwira ntchito zobwerezabwereza, ndipo amatha kuzichita mwachangu kuposa momwe anthu amachitira.

A kulumikiza ndi mtundu wina wa bot womwe umapangidwa kuti ufanane ndi zokambirana za anthu. Ma bots awa amalumikizana ndi ogwiritsa ntchito nthawi zambiri kudzera pa macheza ochezera, omwe amatha kupezeka pamasamba, m'mapulogalamu, ngakhale pamasamba ochezera. Ma Chatbots amatha kukhala osavuta kapena ovuta momwe amafunikira. Ena amatha kungoyankha ku malamulo apadera ndi mayankho omwe adakonzedweratu, pomwe ena amagwiritsa ntchito umisiri wapamwamba kwambiri monga kukonza zilankhulo zachilengedwe (NLP) ndi kuphunzira pamakina kuti mumvetsetse ndikuyankha zomwe ogwiritsa ntchito amalowetsa m'njira yolankhulirana komanso mwachilengedwe.

Ma ma chatbots amagwiritsidwa ntchito kwambiri pothandizira makasitomala kuthana ndi mafunso wamba, kumasula othandizira anthu kuti athane ndi zovuta. Atha kugwiritsidwanso ntchito pakutsatsa kwa digito pazinthu monga kutsogolera, kugwiritsa ntchito ogwiritsa ntchito, malingaliro amunthu, ndi zina zambiri.

Ndikofunikira kudziwa kuti ngakhale ma chatbots amatha kukhala othandiza komanso ochita bwino, sali angwiro ndipo kuchita bwino kumatengera mapulogalamu awo. Ma chatbots osavuta amatha kusokonezeka mosavuta pomwe zolowetsa za wogwiritsa ntchito zipatuka pamalamulo omwe adakonzedweratu. Ma chatbots apamwamba amatha kuthana ndi zolowa zambiri, koma amatha kulakwitsa, makamaka akamalankhula ndi mawu osamveka bwino, mafunso ovuta, kapena zolowetsa zosayembekezereka. Chifukwa chake, ndikofunikira kupanga ndi kuphunzitsa ma chatbots moyenera ndikuwongolera mosalekeza kutengera mayankho a ogwiritsa ntchito komanso momwe amachitira.

Kodi Ma Bots ndi Chatbots Akusintha Bwanji Kutsatsa Kwapa digito?

Maboti ndi ma chatbots akusintha kutsatsa kwa digito m'njira zingapo:

  1. Thandizo lamakasitomala: Ma Chatbots amatha kupereka chithandizo chamakasitomala 24/7, kuyankha mafunso omwe amafunsidwa pafupipafupi komanso kudziwa zambiri zamalonda kapena ntchito nthawi yomweyo. Izi sizimangowonjezera kukhutira kwamakasitomala komanso zimamasula anthu kuti azigwira ntchito zovuta.
  2. Gawo Lotsogolera: Maboti amatha kucheza ndi alendo apawebusayiti, kusonkhanitsa zidziwitso, komanso kuyenereza otsogolera pofunsa mafunso angapo omwe adakonzedweratu. Izi zitha kukulitsa luso komanso kuchita bwino pakupanga kutsogolera.
  3. Makonda: Ma Chatbots amatha kupereka zokonda zanu komanso malingaliro anu potengera momwe amachitira ndi ogwiritsa ntchito. Atha kukumbukiranso zomwe zidachitika kale komanso zomwe amakonda, zomwe zimawapangitsa kukhala okonda kwambiri.
  4. Kuyanjana kwa Ogwiritsa: Maboti amatha kugwiritsa ntchito ogwiritsa ntchito pazokambirana, mafunso, masewera, ndi zina zambiri. Izi zitha kukulitsa chidwi cha ogwiritsa ntchito komanso nthawi yogwiritsidwa ntchito patsamba kapena pulogalamu.
  5. Malonda a E-commerce: Ma chatbots ena ndi apamwamba kwambiri kuti azitha kuchita zinthu, kuthandiza ogwiritsa ntchito kupeza zinthu, kuziwonjezera pangolo, komanso kumaliza ntchito yotuluka.
  6. Kusonkhanitsa ndi Kusanthula Deta: Maboti amatha kusonkhanitsa zambiri kuchokera kuzinthu zomwe ogwiritsa ntchito amagwiritsa ntchito, zomwe zitha kufufuzidwa kuti mudziwe zambiri zamakhalidwe a ogwiritsa ntchito, zomwe amakonda, komanso zomwe amakonda. Izi zitha kudziwitsa njira zamalonda ndi zosankha.
  7. Kukhalapo Kwapaintaneti: Maboti amatha kuyang'anira maakaunti azama media, kutumiza zokha zomwe zili, kuyankha ndemanga, komanso kucheza ndi ogwiritsa ntchito ena. Izi zitha kukulitsa kupezeka kwapaintaneti kwamtundu wamtundu komanso kufikira.
  8. Kupulumutsa Mtengo: Pogwiritsa ntchito ntchito zachizoloŵezi, ma bots angathandize kuchepetsa ndalama zogwirira ntchito ndikuwonjezera mphamvu.

Ngakhale ma bots ndi ma chatbots amapereka zabwino zambiri, amabweranso ndi zovuta. Ayenera kupangidwa bwino ndi kusamalidwa bwino kuti awonetsetse kuti akugwira ntchito moyenera komanso kuti azitha kugwiritsa ntchito bwino. Ayeneranso kugwiritsidwa ntchito moyenera kulemekeza zinsinsi za ogwiritsa ntchito ndikupewa kutumizirana ma spam kapena machitidwe ena osokoneza.

Kusaka kwa Mawu

Kusaka ndi mawu ndiukadaulo womwe umalola ogwiritsa ntchito kufufuza pa intaneti pofunsa funso pa foni yam'manja, chipangizo chanzeru, kapena kompyuta. Izi zitha kukhala kupeza zambiri zamainjini osakira, kupempha data yeniyeni mu nkhokwe, kuyambitsa ntchito za digito, kapena kulamula wothandizira pakompyuta kuti amalize kuchitapo kanthu monga kusewera nyimbo.

Kusaka ndi mawu kumagwiritsa ntchito ukadaulo wozindikira mawu kuti mumvetsetse malamulo ndi mafunso, kenako ndikuyesa kupeza yankho lolondola kapena kuchita zomwe mukufuna. Ndiwofunika kwambiri pamakina osiyanasiyana aukadaulo ndi kugwiritsa ntchito, kuphatikiza koma osawerengeka, mafoni a m'manja, olankhula anzeru monga Amazon's Echo (Alexa), Google Home, Apple's Siri pazida zosiyanasiyana, Microsoft's Cortana, ndi makina ambiri a infotainment mgalimoto.

Kusaka ndi mawu kukuchulukirachulukira chifukwa cha liwiro lake, kusavuta, komanso kutengera komwe kukukulirakulira kwa olankhula anzeru komanso othandizira pa digito omwe amayatsidwa ndi mawu. Ndikofunikira makamaka pamene manja kapena masomphenya a wogwiritsa ntchito ali otanganidwa, monga kuphika kapena kuyendetsa galimoto.

Kodi Kusaka Ndi Mawu Kukusintha Bwanji Kutsatsa Kwapa digito?

Kusaka ndi mawu kukusintha kwambiri malonda a digito m'njira zingapo:

  1. Shift in Search Funso: Kusaka ndi mawu nthawi zambiri kumakhala kokambirana komanso motalika kuposa kusaka kotayidwa. Anthu amakonda kugwiritsa ntchito chilankhulo chachilengedwe komanso ziganizo zomaliza akamalankhula, poyerekeza ndi mawu achidule omwe amalemba. Zotsatira zake, ogulitsa akuyenera kumvetsetsa kusiyana kumeneku ndikuwongolera zomwe ali nazo komanso njira za SEO moyenerera.
  2. SEO kwanuko: Kusaka ndi mawu kumagwiritsidwa ntchito nthawi zambiri pamafunso amdera lanu, monga kupeza malo odyera kapena mashopu apafupi. Izi zimapangitsa SEO yakomweko kukhala yofunika kwambiri kwa mabizinesi. Otsatsa akuyenera kuwonetsetsa kuti zambiri zamabizinesi awo ndi zolondola komanso zaposachedwa patsamba lawo komanso pamawu apaintaneti, ndikukwaniritsa mawu osakira am'deralo.
  3. Kukhathamiritsa Webusaiti: Mawebusayiti akuyenera kukonzedwa kuti asake ndi mawu. Izi zikuphatikiza kuwonetsetsa kuti tsamba lawebusayiti limadzaza mwachangu, ndilosavuta kugwiritsa ntchito mafoni, komanso lili ndi chitetezo (HTTPS) kulumikizana, zonse zomwe ndi zinthu zomwe injini zosaka zimaziganizira posankha mawebusayiti omwe amasaka ndi mawu.
  4. Deta Yopangidwa: Kugwiritsa ntchito zosunga zobwezeretsera kungathandize osaka kuti amvetsetse bwino zomwe zili patsamba, kupangitsa kuti ibwezedwe pazotsatira zamawu. Izi zitha kuphatikiza zambiri monga zabizinesi, zambiri zamalonda, ndi FAQ okhutira.
  5. Zidutswa Zina: Kusaka ndi mawu nthawi zambiri kumakoka pazotsatira zakusaka kwa Google. Chifukwa chake, otsatsa akuyenera kulinganiza zomwe ali nazo m'njira yoti zitha kuwonetsedwa muzithunzi izi.
  6. Mwayi Watsopano Wotsatsa: Pamene kusaka ndi mawu kukuchulukirachulukira, mwayi watsopano wotsatsa ukhoza kupezeka. Mwachitsanzo, mabizinesi atha kuthandizira pazotsatira zina zamawu kapena kutsatsa papulatifomu yolankhula mwanzeru.
  7. Voice Commerce: Anthu ambiri akamamasuka kugwiritsa ntchito zothandizira mawu, malonda amawu akuyembekezeka kukwera. Anthu ayamba kugula zinthu mwachindunji kudzera mwa othandizira mawu, zomwe zitha kutsegulira mwayi mabizinesi apakompyuta.

Kusaka ndi mawu kukukulabe, ndipo ndikofunikira kuti otsatsa azitha kudziwa zatsopano komanso matekinoloje atsopano. Monga ndi matekinoloje onse a AI, palinso zovuta ndi malingaliro okhudzana ndi chinsinsi cha data ndi chitetezo.

Zowona Zowona ndi Zoona Zenizeni

Augmented Reality (AR) ndi Virtual Reality (VR) ndi matekinoloje ozama omwe amatha kupanga kapena kupititsa patsogolo zochitika zongoyerekeza.

  1. Zowona Zowonjezereka (AR): AR imawonjezera zinthu za digito pamawonedwe amoyo nthawi zambiri pogwiritsa ntchito kamera pa foni yam'manja kapena piritsi. Mapulogalamu a AR amakulolani kuti muwone zambiri - kuphatikiza zolemba, zithunzi, ndi mitundu ya 3D - zojambulidwa padziko lenileni. Zitsanzo za zochitika za AR zikuphatikiza ma lens a Snapchat ndi masewera a Pokémon Go. AR imatha kupereka zidziwitso zokhudzana ndi zochitika, kusangalatsa, komanso kukulitsa malingaliro adziko lenileni.
  2. Virtual Reality (VR): VR imatanthawuza kumiza kwathunthu komwe kumatsekereza dziko lapansi. Kugwiritsa ntchito zida za VR monga Vive, Kufufuza kwa meta (omwe kale anali Oculus Rift), kapena Google, ogwiritsa ntchito amatha kutengedwera kumalo angapo enieni komanso oganiziridwa monga pakati pa gulu la penguin kapena kumbuyo kwa chinjoka. Muzochitika za VR, mwadzipatula kudziko lenileni ndikumizidwa m'dziko lopangidwa mwaluso.

Mwachidule, kusiyana kwakukulu pakati pa ziwirizi ndi mlingo wa kumizidwa. Zowona zenizeni ndikumizidwa kwathunthu m'dziko la digito, pomwe zenizeni zenizeni zimaphimba zidziwitso za digito kudziko lenileni. Matekinoloje onsewa atha kupereka zochitika zochititsa chidwi koma amakhala ndi zochitika zosiyanasiyana zogwiritsira ntchito komanso kugwiritsa ntchito.

Kodi AR ndi VR Zikusintha Bwanji Kutsatsa Kwa digito?

AR ndi VR akutsegula mwayi watsopano pakutsatsa kwa digito popanga zochitika zozama zomwe zitha kuchititsa ogula m'njira zapadera. Umu ndi momwe asinthira gawolo:

  1. Kuwona Kwazinthu: AR imalola ogula kuwona zinthu m'malo awo asanagule. Mwachitsanzo, ogulitsa mipando ngati IKEA ali ndi mapulogalamu a AR omwe amalola makasitomala kuwona momwe mipando ingawonekere m'nyumba zawo. Mofananamo, mafashoni ndi kukongola zopangidwa amalola makasitomala pafupifupi
    yesani zovala kapena zodzoladzola.
  2. Malo Osungira Owona ndi Zipinda Zowonetsera: Zonse za AR ndi VR zitha kugwiritsidwa ntchito kupanga malo ogulitsa kapena zipinda zowonetsera. Izi zimalola makasitomala kufufuza sitolo kapena mzere wazinthu, zomwe zingakhale zothandiza makamaka kwa mabizinesi omwe amagwira ntchito pa intaneti.
  3. Kutsatsa kwapang'onopang'ono: AR ndi VR zitha kupangitsa kutsatsa kukhala kolumikizana komanso kukopa chidwi. Mwachitsanzo, kasitomala atha kusewera masewera kapena kuwona zochitika mkati mwa malonda. Zochitika zozama izi zitha kupanga zotsatsa kukhala zosaiwalika komanso zosangalatsa kwa ogula.
  4. Zochitika Mozama: VR imatha kunyamula ogula kupita kumayiko atsopano. Mitundu yoyenda imatha kupereka maulendo apaulendo, makampani ogulitsa nyumba amatha kupereka maulendo apanyumba, ndipo makampani osangalatsa amatha kupanga masewera ozama kapena zokumana nazo.
  5. Kugwirizana kwa Brand: AR ndi VR zitha kukulitsa chidwi chamtundu ndikupanga zochitika zapadera komanso zosaiŵalika. Mwachitsanzo, mtundu ukhoza kupanga masewera a AR omwe ogula amatha kusewera pogwiritsa ntchito mafoni awo.
  6. Maphunziro ndi Maphunziro: AR ndi VR zitha kugwiritsidwa ntchito pophunzitsa ogula za chinthu kapena ntchito. Mwachitsanzo, kampani yamagalimoto imatha kugwiritsa ntchito VR kuwonetsa makasitomala momwe chinthu chatsopano chimagwirira ntchito.
  7. Social Media Integration: Mapulatifomu ngati Snapchat ndi Instagram ali kale ndi mawonekedwe a AR ophatikizidwa, kulola mtundu kupanga zosefera kapena zotsatira zomwe ogula angagwiritse ntchito ndikugawana.

Pamene matekinolojewa akupita patsogolo, akuyenera kukhala ndi gawo lofunikira kwambiri pakutsatsa kwa digito. Komabe, monga matekinoloje onse, amabweranso ndi zovuta. Mwachitsanzo, kupanga zokumana nazo zapamwamba za AR ndi VR zitha kukhala zodula komanso zowononga nthawi, ndipo si ogula onse omwe ali ndi zida zofunikira kuti athe kupeza izi. Mwakutero, otsatsa amayenera kuganizira mozama omvera awo ndi zolinga zawo posankha kugwiritsa ntchito AR kapena VR.

Internet Zinthu

Zinthu pa intaneti (IoT) amatanthauza maukonde a zida zakuthupi zomwe zimalumikizidwa ndi intaneti, zonse zimasonkhanitsa ndikugawana deta. Zida izi, kapena zinthu, ikhoza kukhala chilichonse kuchokera kuzinthu zapakhomo za tsiku ndi tsiku monga mafiriji, mabelu a pakhomo, ndi zotenthetsera, kupita ku zipangizo zamafakitale ndi makina. Chofunikira kwambiri pazida izi ndi kulumikizana kwawo, komwe kumawalola kuti azilumikizana ndi kuyanjana pa intaneti, ndikuwunikidwa patali ndikuwongolera.

Kubwera kwa mapurosesa otsika mtengo komanso maukonde opanda zingwe, ndizotheka kusintha chilichonse kukhala gawo la IoT. Izi zimawonjezera mulingo wanzeru zama digito ku zida zomwe zikadakhala zosayankhula, kuzipangitsa kuti azilankhulana popanda munthu, ndikuphatikiza maiko a digito ndi thupi.

IoT ndiyofunikira chifukwa chinthu chomwe chingathe kudziyimira chokha pa digito chimakhala chachikulu kuposa chinthucho chokha. Chinthucho sichikugwirizananso ndi wogwiritsa ntchito, koma tsopano chikugwirizana ndi zinthu zozungulira ndi deta yachinsinsi. Zinthu zambiri zikamachita zinthu mogwirizana, zimadziwika kuti kukhala nazo nzeru zozungulira.

Kodi IoT Transforming Digital Marketing ili bwanji?

IoT ikusintha kutsatsa kwa digito m'njira zingapo:

  1. Kusonkhanitsa Zambiri: Zida za IoT zimasonkhanitsa deta yochuluka, kuchokera ku machitidwe a ogwiritsa ntchito kupita ku chilengedwe. Izi zitha kupereka zidziwitso pazokonda zamakasitomala, zizolowezi, ndi zosowa, kulola mabizinesi kutsata zotsatsa zawo bwino.
  2. Makonda: Zomwe zasonkhanitsidwa ndi zida za IoT zitha kuthandizira makampeni otsatsa amunthu payekha. Mwachitsanzo, firiji yanzeru imatha kupereka zambiri pazakudya za ogula, zomwe zitha kugwiritsidwa ntchito popereka maphikidwe amunthu kapena makuponi akugolosale.
  3. Kutengana ndi Makasitomala: Zida za IoT zitha kupereka njira zatsopano zamabizinesi kuti azilumikizana ndi makasitomala. Mwachitsanzo, katswiri wodziwa masewera olimbitsa thupi atha kulumikizidwa ku pulogalamu yomwe imapereka upangiri wogwirizana ndi zolimba kapena zotsatsa zokhudzana ndi masewera olimbitsa thupi.
  4. Kutsatsa Nthawi Yeniyeni: Deta yeniyeni yoperekedwa ndi zida za IoT imalola zoyesayesa zenizeni zamalonda. Mabizinesi amatha kuchitapo kanthu nthawi yomweyo akasintha machitidwe a kasitomala kapena chilengedwe.
  5. Malonda Otengera Malo: Zida za IoT zimatha kupereka deta yolondola yamalo, kulola kutsatsa kotengera malo. Mabizinesi amatha kutumiza zomwe akufuna kwa makasitomala omwe ali pafupi kapena mkati mwa sitolo yawo.
  6. Kupititsa patsogolo Makasitomala: Mwa kuphatikiza ukadaulo wa IoT, mabizinesi amatha kupititsa patsogolo luso lamakasitomala. Mwachitsanzo, m'masitolo ogulitsa, zida za IoT zimatha kupatsa makasitomala chidziwitso chazinthu, kuwathandiza kuyang'ana m'sitolo, kapenanso kuchotsera makonda awo.
  7. Mapulatifomu Atsopano Otsatsa: Zida za IoT zokha zitha kukhala ngati nsanja zatsopano zotsatsa. Mwachitsanzo, zotsatsa kapena mauthenga otsatsa amatha kuwonetsedwa pazida zanzeru zakunyumba kapena m'magalimoto olumikizidwa.

Ngakhale IoT imapereka mwayi wambiri wotsatsa digito, imakhalanso ndi zovuta. Zinsinsi za data ndi chitetezo ndizofunikira kwambiri, monganso kufunikira kokhazikika pazida ndi nsanja zosiyanasiyana. Otsatsa adzafunika kuthana ndi zovuta izi pomwe akugwiritsa ntchito kuthekera kwa IoT.

chipika unyolo

Blockchain ndi teknoloji yomwe imalola kuti chidziwitso chisungidwe ndikusinthidwa ndi anthu ammudzi. Mwa kuyankhula kwina, ndi database yogawidwa, yogawidwa. Nawonsonkhokwe iyi ndi mndandanda wa midadada, pomwe chipika chilichonse chimakhala ndi chidziwitso. Mipiringidzo imalumikizidwa motsatira mzere, monga maulalo mu unyolo. Nayi kulongosola mwatsatanetsatane:

  1. Cholepheretsa: Chida chilichonse chili ndi mndandanda wazogulitsa. Ntchito iliyonse imalemba zochitika, makamaka kuti kuchuluka kwa zinthu (monga cryptocurrency) zasunthidwa kuchokera kumalo ena kupita kwina. Nthawi iliyonse mukachita malonda, amalembedwa mu block.
  2. unyolo: Mipiringidzo imalumikizidwa wina ndi mzake mwadongosolo linalake, monga maulalo mu unyolo. Chida chilichonse chimakhala ndi code yapadera yotchedwa hash, komanso hashi ya block isanachitike. Ma hashi code amapangidwa ndi masamu omwe amasintha chidziwitso cha digito kukhala mndandanda wa manambala ndi zilembo. Ngati chidziwitsocho chasinthidwa mwanjira iliyonse, nambala ya hashi imasinthanso.
  3. Decentralization: Ichi ndi chimodzi mwamaganizidwe ofunikira kumbuyo kwa blockchain. M'malo mwa gulu limodzi (monga banki) lomwe limayang'anira deta, imagawidwa pakati pa makompyuta (otchedwa node) padziko lonse lapansi. Node iliyonse ili ndi buku lathunthu la blockchain ndipo imagwira ntchito limodzi kutsimikizira ndikulemba midadada yatsopano. Pamene chipika chatsopano chiwonjezedwa ku blockchain, kompyuta iliyonse pamanetiweki imasintha blockchain yake kuti iwonetse kusintha.
  4. Chitetezo ndi Kuwonekera: Chifukwa chipika chilichonse chimakhala ndi hashi yake, komanso hashi ya block isanachitike, ndizovuta kwambiri kusintha zomwe zilipo. Kuchita izi kungafune kusintha midadada yonse yotsatira ndi mgwirizano wambiri pamanetiweki - ntchito yovuta kwambiri kotero kuti sizingatheke. Izi, pamodzi ndi chikhalidwe cha blockchain, zimatsimikizira kukhulupirika ndi kuwonekera kwa deta.

Ngakhale blockchain imadziwika kwambiri ndikugwiritsa ntchito ndalama za crypto monga Bitcoin, chikhalidwe chake chokhazikika komanso chowonekera chimakhala ndi ntchito m'mafakitale ambiri, kuphatikiza malonda a digito?

Kodi Blockchain Transforming Digital Marketing?

Tekinoloje ya blockchain ikusintha kutsatsa kwa digito m'njira zingapo:

  1. Transparency and Trust: Ndi blockchain, zochitika zonse zimalembedwa ndikuwoneka, zomwe zimabweretsa kuwonekera kwatsopano kwa ubale wamalonda ndi kasitomala. Makasitomala amatha kutsimikizira kuti mabizinesi akukwaniritsa malonjezo awo, ndipo mabizinesi amatha kuwonetsetsa kuti malonda awo akufikira anthu omwe akufuna.
  2. Chitetezo cha Data: Chikhalidwe chotetezedwa cha Blockchain chimatanthauza kuti deta yamakasitomala ndi yotetezeka. Kuwonjezeka kwa chitetezo cha data uku kungapangitse makasitomala kukhulupirirana.
  3. Kuletsa Chinyengo Zotsatsa: Chinyengo chotsatsa pa intaneti ndivuto lalikulu, pomwe ma bots amapangitsa mabizinesi kuwononga ndalama pazotsatsa zomwe anthu enieni saziwona. Blockchain ikhoza kuletsa izi potsimikizira kuti wogwiritsa ntchito aliyense ndi weniweni komanso kuti malonda aliwonse adaperekedwa ndikuwonedwa.
  4. Kutsatsa Kwa anzawo: Blockchain imathandiza kusinthanitsa mwachindunji pakati pa maphwando popanda kufunikira kwa oyimira pakati. Izi zitha kugwiritsidwa ntchito kuwongolera anzawo ndi anzawo (P2P) njira zotsatsa, pomwe mabizinesi amalimbikitsa makasitomala kutsatsa malonda awo kwa ena.
  5. Malingaliro Abwino: Blockchain ikhoza kupereka chidziwitso cholondola komanso chodalirika, kuwonetsetsa kuti mabizinesi akudziwa ndendende zomwe zikuyambitsa malonda. Izi zitha kuthandiza kukhathamiritsa njira zotsatsa ndikuwongolera kubweza ndalama.
  6. Ma Mphotho Otengera Zizindikiro: Blockchain imathandizira kupanga machitidwe opangira ma token komwe makasitomala amatha kulipidwa ndi zizindikiro pazochita zosiyanasiyana, monga kugula kapena kusiya ndemanga. Zizindikirozi zitha kuwomboledwa kuti zitha kulipidwa, ndikupanga chilimbikitso champhamvu chamakasitomala.
  7. Misika Yogawidwa: Blockchain angagwiritsidwe ntchito kupanga misika decentralized, kumene ogula ndi ogulitsa akhoza kugwirizana mwachindunji wina ndi mzake. Izi zitha kusokoneza machitidwe otsatsa a digito, pomwe oyimira pakati monga Google kapena Facebook amatenga gawo lalikulu.

Ngakhale zopindulitsa izi, blockchain imakhalanso ndi zovuta pakutsatsa kwa digito. Tekinolojeyi ndi yovuta ndipo imatha kukhala yovuta kumvetsetsa, zomwe zingachepetse kukhazikitsidwa kwake. Zazinsinsi zimadetsanso nkhawa, monga momwe malonda alili otetezeka komanso osadziwika, amakhalanso pagulu. Otsatsa adzafunika kuyang'ana zovuta izi pamene akufufuza kuthekera kwa blockchain mu malonda a digito.

Ma beacons

Ma beakoni ndi ma transmitter ang'onoang'ono opanda zingwe omwe amagwiritsa ntchito ukadaulo wa Bluetooth wopanda mphamvu zochepa kutumiza zidziwitso ku zida zina zanzeru zomwe zili pafupi. Iwo ndi amodzi mwazomwe zachitika posachedwa muukadaulo wamalo komanso kutsatsa kwapafupi.

Umu ndi momwe amagwirira ntchito: Beacon iliyonse ili ndi Bluetooth Low Energy (BONZA), ukadaulo wogwiritsa ntchito mphamvu wa Bluetooth wopangidwira IoT mapulogalamu ndi zida zina zomwe zimawulutsa chizindikiro cha wailesi. Zipangizo zam'manja zomwe zili m'gululi zimatha kumvetsera zizindikirozi ndikuchitapo kanthu pamene zifika pafupi ndi beacon. Nazi zina zomwe zimagwiritsidwa ntchito kwambiri pa ma beacon:

  1. Ritelo: Masitolo ogulitsa amagwiritsa ntchito ma beacons kuti apatse makasitomala chidziwitso cha malonda, kugulitsa kwa Flash kapena malonda, ndikufulumizitsa ndondomeko yotuluka ndi njira yolipira yopanda kulumikizana.
  2. Navigation: M'nyumba monga malo osungiramo zinthu zakale, mabwalo a ndege, ngakhalenso mashopu akuluakulu, zounikira zimatha kupereka njira yolondola m'nyumba momwe GPS singakhale yothandiza kwenikweni.
  3. Events: Pazochitika monga misonkhano kapena zikondwerero zanyimbo, ma beacons amatha kuthandiza opezekapo kuyang'ana malo, kuwona magawo omwe akuchitika munthawi yeniyeni, ndikupereka mawonekedwe ochezera monga kupeza ndi kulumikizana ndi ena opezekapo.
  4. Nyumba ndi zomangidwa: Ma Beacons amatha kupatsa ogula chidziwitso chokhudza malo omwe ali patsogolo pake.
  5. Hotels: Mahotela atha kugwiritsa ntchito ma beacons kuti azitha kulowa m'zipinda popanda vuto lililonse, mayendedwe olowera mwachangu, komanso zotsatsa malinga ndi malo ochitira ku hoteloyo.

Monga ndi luso lililonse, chinsinsi ndi nkhawa. Popeza ma beacons amatha kuyang'anira machitidwe a ogwiritsa ntchito, pamakhala zovuta zokhudzana ndi chilolezo komanso chitetezo cha data. Zotsatira zake, makina ambiri a ma beacon amafuna kuti ogwiritsa ntchito alowemo, nthawi zambiri kudzera pa pulogalamu yam'manja.

Kodi Ma Beacons Akusintha Bwanji Kutsatsa Kwa digito?

Ma beacons akukhudza kwambiri malonda a digito, akusintha momwe mabizinesi amalumikizirana ndi makasitomala m'njira zingapo:

  1. Kutsatsa Kwamakonda: Ma beacons amatha kuzindikira kasitomala ali pafupi kapena m'sitolo, ndikutumiza mauthenga ogwirizana ndi makonda ake kapena zotsatsa pazida zawo zam'manja. Izi zitha kukulitsa luso lamakasitomala, kuwapatsa chidziwitso choyenera kapena kukwezedwa panthawi yoyenera komanso malo oyenera.
  2. Ma Analytics Awongoleredwa: Ma beacon amasonkhanitsa zidziwitso zofunikira pazakhalidwe la kasitomala, monga kuchuluka kwa nthawi yomwe amakhala m'sitolo, magawo omwe amayendera, ndi zinthu zomwe amalumikizana nazo. Izi zitha kupereka zidziwitso zothandizira mabizinesi kukhathamiritsa masanjidwe awo a sitolo, kakhazikitsidwe kazinthu, ndi njira zotsatsira.
  3. Kutsatsa Kwapafupi: Ma beacon amathandizira mabizinesi kuti azitha kulumikizana ndi makasitomala potengera komwe ali. Mwachitsanzo, nyumba yosungiramo zinthu zakale ingagwiritse ntchito ma nyali zounikira kuti ipereke chidziŵitso chokhudza ziwonetsero alendo akamayandikira, kapena sitolo ingagwiritsire ntchito zounikira kutsatsa malonda apadera kwa makasitomala m'zigawo zina za sitolo.
  4. Kugwirizana Kwamakasitomala Kwakulitsidwa: Mwa kuphatikiza ma beacons ndi mapulogalamu am'manja, mabizinesi amatha kupanga zokumana nazo zokopa makasitomala. Mwachitsanzo, malo odyera atha kugwiritsa ntchito zounikira kuti makasitomala athe kuyitanitsa chakudya patebulo lawo kudzera pa pulogalamu, kapena malo ogulitsira angagwiritse ntchito magalasi kuti azitha kugula zinthu mwaukadaulo.
  5. Kuphatikiza pa intaneti pa intaneti: Ma beacons amathandizira kuchepetsa kusiyana pakati pa zochitika zapaintaneti ndi pa intaneti. Atha kuyambitsa zochita mu mapulogalamu a m'manja potengera zomwe kasitomala amachita popanda intaneti, monga kutumiza zotsatila pambuyo pochezera sitolo, kapena kulimbikitsa zothandizira pa intaneti potengera zomwe zimachitika m'sitolo.
  6. Ndemanga Zenizeni ndi Zosintha: Potsata machitidwe a kasitomala munthawi yeniyeni, mabizinesi amatha kusintha mwachangu njira zawo zotsatsira. Mwachitsanzo, ngati chowunikira chawona kuti chinthu china sichikukopa chidwi, sitolo ikhoza kutumizira mwachangu mwayi wapadera wokopa makasitomala ambiri kuderali.

Ngakhale ma beacons amapereka mwayi wambiri wotsatsa malonda a digito, amaperekanso zovuta, makamaka zokhudzana ndichinsinsi komanso chitetezo cha deta. Mabizinesi akuyenera kuwonetsetsa kuti akutsatira malamulo oteteza deta komanso kulemekeza zinsinsi za kasitomala akamagwiritsa ntchito ukadaulo wa beacon.

5G

5G imayimira m'badwo wachisanu, ndipo ndi m'badwo waposachedwa kwambiri waukadaulo wama foni am'manja omwe zida zam'manja zimagwiritsa ntchito kulumikizana ndi intaneti ndikulumikizana wina ndi mnzake. Ndiwolowa m'malo mwa 4G LTE, mulingo wapano m'maiko ambiri padziko lapansi.

Maukonde a 5G amapereka zosintha zingapo pa 4G:

  1. Kuthamanga Kwambiri: Maukonde a 5G amatha kutumiza deta mwachangu kunthawi 100 kuposa 4G. Izi zikutanthauza kutsitsa ndi kukweza mwachangu, komanso kutsitsa kosavuta kwamatanthauzidwe apamwamba ndi kanema wa 4K.
  2. Kuchedwa Kwambiri: Latency ndi nthawi yomwe imatengera kuti deta iyende kuchokera kumalo ena kupita kwina. 5G imapereka latency yotsika kwambiri, yomwe ingakhale mwayi waukulu pazinthu monga masewera, pomwe kuchedwa kwa ma millisecond ochepa kungapangitse kusiyana kwakukulu, kapena magalimoto odziyimira pawokha, pomwe kutumiza kwa data pompopompo ndikofunikira pachitetezo.
  3. Kuwonjezeka kwa Kulumikizana: Maukonde a 5G amatha kuthandizira zida zambiri zolumikizidwa kuposa 4G. Izi ndizofunikira kwambiri pa intaneti ya Zinthu (IoT), popeza zinthu zambiri zatsiku ndi tsiku zimalumikizidwa ndi intaneti.
  4. Network Slicing: Ichi ndi gawo la 5G lomwe limalola ogwiritsa ntchito kupanga ma netiweki angapo mkati mwa netiweki imodzi ya 5G. Kusinthasintha uku kumatha kulola kugwiritsa ntchito bwino zinthu, makamaka kwa mabizinesi ndi mautumiki omwe angakhale ndi zofunikira zapaintaneti.

Ngakhale kuti 5G ili ndi ubwino wambiri, imakhalanso ndi zovuta. Mwachitsanzo, magulu othamanga kwambiri omwe 5G amadalira amakhala ndi mawonekedwe afupikitsa ndipo amavutika kuti alowe zopinga ngati nyumba, zomwe zimafuna kukhazikitsidwa kwa "malo opangira ma micro base" ambiri kuti awonetsetse.

Kodi 5G Transforming Digital Marketing Ndi Chiyani?

5G yakonzeka kusintha malonda a digito m'njira zingapo zofunika:

  1. Zochitika Zapamwamba Zam'manja: Ndi liwiro lake kwambiri komanso kutsika kwa latency, 5G imathandizira otsatsa kuti apereke zokumana nazo zozama komanso zosangalatsa pazida zam'manja. Izi zikuphatikiza kutsatsira kwamakanema atanthauzo kwambiri, augmented reality (AR), virtual reality (VR), ndi zinthu zina zomwe poyamba zinali zoletsedwa ndi zopinga za netiweki.
  2. Kusintha Kwanthawi Yeniyeni: The low latency ya 5G imalola kuti pakhale nthawi yeniyeni yokonza deta, kuthandizira otsatsa kuti apereke zomwe zili zaumwini ndi zopereka panthawiyi. Izi zikuphatikiza kutsatsa kotengera malo, mitengo yosinthika, ndi malingaliro osinthidwa makonda malinga ndi machitidwe a ogwiritsa ntchito nthawi yeniyeni.
  3. Zochulukira za Multimedia: Ma bandwidth apamwamba a 5G amalola kuti pakhale kutulutsa kosasunthika kwa zinthu zambiri zama multimedia, monga zithunzi zowoneka bwino, makanema, ndi zokumana nazo za 360-degree. Otsatsa amatha kugwiritsa ntchito mwayiwu kuti apange makampeni owoneka bwino komanso okopa chidwi omwe amakopa chidwi cha ogwiritsa ntchito.
  4. Kuphatikizika kwa intaneti ya Zinthu (IoT): Kuthekera kwa 5G kuthandizira zida zambiri zolumikizidwa kumatsegula mwayi kwa otsatsa kuti agwiritse ntchito ukadaulo wa IoT. Atha kusonkhanitsa ndi kusanthula deta kuchokera ku zida zosiyanasiyana za IoT, monga zobvala, zida zanzeru zapakhomo, ndi masensa, kuti adziwe zambiri zamakhalidwe ndi zomwe makasitomala amakonda.
  5. Kutsatsa kwapang'onopang'ono: Ndi kuchuluka kwa maukonde a 5G, otsatsa amatha kutumiza zotsatsa zomwe zimayang'ana kwambiri kumagulu ena kapena ngakhale ogwiritsa ntchito munthawi yeniyeni. Kulunjika uku kungathe kutengera malo, zokonda, machitidwe osakatula, ndi zomwe zikuchitika, kulola kutsatsa kothandiza komanso koyenera.
  6. Zowerengera Zotsogola za Data: Deta yochuluka yopangidwa ndi zida zolumikizidwa ndi 5G imapatsa otsatsa chidziwitso chokwanira komanso chanthawi yeniyeni pamachitidwe a ogula. Izi zitha kugwiritsidwa ntchito kuwongolera njira zotsatsira, kukhathamiritsa makampeni, ndikupanga zisankho zoyendetsedwa ndi data.
  7. Zochitika Zowonjezereka ndi Zowona Zowona: Kutsika kwa 5G ndi kulumikizidwa kothamanga kwambiri kumakulitsa luso la zochitika za AR ndi VR. Otsatsa atha kupanga makampeni ozama kwambiri komanso olumikizana, monga kuyesa zinthu zenizeni, maulendo apakompyuta, ndi zokutira za AR zomwe zimaphatikiza dziko la digito ndi lakuthupi.

Ngakhale 5G imapereka mwayi waukulu wotsatsa digito, imakhalanso ndi zovuta. Otsatsa ayenera kuganizira zachinsinsi za data ndi chitetezo, kuyang'anira kuthekera kwa kuchuluka kwa zidziwitso, ndikuwonetsetsa kuti zida ndi ma netiweki aziphatikizana mopanda malire. Komabe, kuthekera kosintha kwa 5G kumatsegula njira zatsopano kwa ogulitsa kuti azilumikizana ndi omvera m'njira zopatsa chidwi komanso zanzeru.

Zamakono Zamakono Zolimbikitsa Kutsatsa Kwama digito

Douglas Karr

Douglas Karr ndi CMO OpenINSIGHTS ndi woyambitsa wa Martech Zone. Douglas wathandizira oyambitsa ambiri opambana a MarTech, wathandizira kulimbikira kopitilira $ 5 bil pakugula ndi kuyika kwa Martech, ndipo akupitiliza kuthandiza makampani kukhazikitsa ndikusintha njira zawo zogulitsa ndi zotsatsa. Douglas ndi katswiri wodziwika padziko lonse lapansi wosinthira digito komanso katswiri komanso wokamba nkhani wa MarTech. Douglas ndi mlembi wofalitsidwa wa kalozera wa Dummie komanso buku la utsogoleri wabizinesi.

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