ʻO nā mea hana wānana artificial (AI) a me nā hoʻonā ʻikepili wānana kekahi o nā mea hana nui loa i loaʻa i nā hui nui āpau, e hāʻawi ana i nā ʻike i ka wā e hiki mai ana. He ʻāpana lākou o ka māhele ʻikepili nui aʻe a ʻike i nā hiʻohiʻona e pono ai i ka hoʻoholo ʻana.
Ma ka e-commerce, hiki ke hoʻohana ʻia nā mea hana wanana AI e kālailai i ka ʻikepili o ka mea kūʻai aku, ʻoiai hiki i ka ʻoihana kūʻai aku a me nā ʻoihana ʻinikua ke hoʻohana iā ia e nānā i nā helu hōʻaiʻē a ʻike i nā hana hoʻopunipuni. He liʻiliʻi wale kēia o nā ʻoihana he nui i hoʻololi ʻia e nā mea hana wānana AI.
Eia ka nānā ʻana i ka 9 o nā mea hana wānana AI maikaʻi loa ma ka mākeke:
1. Kapua SAP Analytics
SAP ʻo ia kekahi o nā hui polokalamu multinational nui loa. ʻO kāna kahua hoʻopuka helu mua, SAP Mea hoʻokūkū hoʻolālā, ua hoʻokomo ʻia i loko o ka paepae Cloud Analytics nui aʻe o ka hui.
Holo ka paepae hou ma AI a hoʻohana ʻia no ka hoʻonui ʻana i ka hoʻolālā ʻoihana a me ka wānana, a hiki ke hana ma nā mea āpau. Hiki ke hoʻonui ʻia, ʻo ia hoʻi, hiki i nā hui o nā nui āpau ke hoʻohana iā ia. Me ka loiloi hoʻonui ʻia, hiki i kahi hui ke hoʻohana i ka NLP e kiʻi i nā ʻike mai ka ʻikepili nui, ʻoiai ke aʻo ʻana i ka mīkini e hoʻomaʻamaʻa i nā kahe hana e ʻike i nā pilina a me nā ʻano.
Eia kekahi o nā noi o SAP:
- Hoʻopili data
- Mea hoʻokalakupua hoʻokūkū
- ʻIkepili hoʻonui
- Ka wānana
- ʻIke ʻike ʻoihana
2. SAS Kūlana Kiʻekiʻe
ʻO kekahi ʻoihana polokalamu multinational, hāʻawi ʻo SAS i ka polokalamu loiloi loiloi kiʻekiʻe. ʻO SAS Advanced Analytics kahi hui piha o nā mea hana ʻikepili wānana.
Hiki iā ia ke maʻalahi i ka ʻikepili ma o ka ʻimi ʻana i ka ʻikepili ma mua o ka neʻe ʻana i ka hoʻohālike ʻikepili, a hāʻawi ia i ka ʻikepili helu. Hoʻohana pū ʻo SAS Advanced Analytics i nā mea hana wānana e hoʻohua i nā kumu hoʻohālike no nā mea hiki mai.
Eia kekahi o nā noi o SAS:
- Kānāwai kikokikona
- ʻIkepili helu
- Ka wānana
- Nānā wānana
3. ʻO ke alaka
ʻO Alteryx kahi alakaʻi ʻo Gartner Magic Quadrant i ka ʻikepili ʻepekema a me ka ʻike mīkini. ʻO kāna huahana kiʻekiʻe ʻo ka APA platform, ʻo ia ka automation kaʻina hana analytic e hoʻohui i ka ʻepekema data me ka ʻikepili wānana.
Hoʻokumu ʻia ʻo Alteryx i nā non-coders, e hāʻawi ana i nā haneli o ka automation "building blocks," a hiki iā ia ke hoʻohuli i ka ʻikepili nui i nā ʻike e kōkua i ke kaʻina hana hoʻoholo. He mea hana maikaʻi hoʻi ia, e hiki ai i nā hui ke kaʻana like i nā ʻike.
Eia kekahi o nā noi o Alteryx:
- 'Ipekemaʻikepili
- Kaʻanalike ʻoihana
- ʻikepili i hoʻonohonoho ʻole ʻia
- ʻImi manaʻo
4. RapidMiner
ʻO RapidMiner kekahi o nā mea hana wānana AI kiʻekiʻe. He kahua hoʻopaʻa ʻikepili hope-a-hope, hoʻohana ʻo RapidMiner i ka hoʻohālike ʻikepili a me ke aʻo ʻana i ka mīkini e hāʻawi i nā ʻikepili wānana kikoʻī.
Hoʻohana ka paepae i kahi pānaʻi kauo a hoʻokuʻu, a he hale waihona puke o nā 1,500 algorithms hiki ke hoʻohana ʻia i ka ʻikepili. He ikaika no hoi mea paahana ike ikepili, hiki iā ʻoe ke ʻike i nā hopena e hiki mai ana o nā hoʻoholo ʻoihana.
Eia kekahi o nā noi a RapidMiner:
- Hoʻohālike ʻikepili
- ʻIkeʻike ʻikepili
- Nā algorithms aʻo mīkini
5. IBM SPSS
ʻO SPSS ka hoʻonā helu helu a me ka lawelawe huahana a IBM, a he loea ia i ka ʻikepili helu kiʻekiʻe. ʻO kāna mau module ʻelua ʻo SPSS Statistics a me SPSS Modeler. Lawe ʻo ka mea mua i nā kānana wānana ma o ka hoʻohui ʻana i ka loiloi ad hoc, ka hoʻāʻo kuhiakau, a me ka loiloi geospatial.
ʻOi aku ka wehe ʻana o ka SPSS Modeler, a ua hoʻohuli ʻo ia i ka nānā ʻana i ka wānana i nā hiʻohiʻona kiʻi, hiki iā ʻoe ke ʻike i nā kumu a me nā anomalies i ka ʻikepili.
Eia kekahi o nā noi o IBM SPSS:
- ʻIkepili helu
- Hoʻohālike ʻikepili
- Nā hiʻohiʻona
6. ʻO TIBCO Spotfire
Hoʻohana ʻo TIBCO Spotfire i nā mea hana he nui e hana i nā pūʻulu ʻikepili nui, a he mea hana maʻalahi ia no kēlā me kēia. Me nā wanana kaomi hoʻokahi, hāʻawi ia i nā ala i hoʻonohonoho mua ʻia e hoʻokaʻawale a hui pū i ka ʻikepili.
Hōʻike pū ʻo TIBCO Spotfire i nā pilina a lawe i ka wānana, a me ka hoʻokumu ʻana i nā hiʻohiʻona ʻikepili pono.
Eia kekahi o nā noi o TIBCO Spotfire:
- Mea hoʻokalakupua hoʻokūkū
- ʻIkeʻike ʻikepili
- Ka wānana
- Hoʻokaʻawale a hui pū
7. H2O.ai
Hāʻawi ʻo H2O.ai i nā mea hana akamai ʻoihana e hilinaʻi nei ma AI a me ke aʻo mīkini (ML). H2O Keaukaha ʻole AI ke kuhikuhi ʻia ʻepekema ʻikepili, ʻoiai ʻo H2O AutoML e kuhikuhi ana i nā poʻe ʻenehana ʻole. Hāʻawi pū ia i nā mamana like ʻole no nā ʻoihana like ʻole.
Eia kekahi mau ʻoihana i kūpono loa no H2O.ai:
- hana
- Pets
- ke kūʻai akuʻana
- Waiwai
- Insurance
- Papahana mālama ola kino
8. ibi WebFOCUS
Hāʻawi ʻo Information Builders (ibi) i ka pūnaewele analytics WebFOCUS, kahi mea hana ponoʻī. Hiki ke kiʻi ʻia e kekahi ma o ka polokalamu kele pūnaewele, a he nui nā waihona. Ma o ka paepae, hiki iā ʻoe ke nānā a hahai i nā KPI like ʻole, a hāʻawi ia i nā dashboards pili pono. ʻO kekahi o kāna mau mea hana loiloi ʻē aʻe e pili ana i nā hoʻonā no ka mālama olakino, kālā, hale kūʻai, a me ka logistic, a he maʻalahi loa ka paepae, he mea maikaʻi ia i nā ʻoihana liʻiliʻi e nānā ana e piʻi.
Eia kekahi o nā noi o ibi WebFOCUS:
- Ka hui pū ʻana
- Nānā KPI
- Nā papa kuhikuhi pāʻani
9. Emcien
ʻO ka mea hana hope loa ma kā mākou papa inoa ʻo Emcien, nona kahi kahua i kapa ʻia ʻo EmcienPatterns i kūkulu ʻia ma nā ʻenekini ʻelua. Hoʻohana ka ʻenekini Analysis i ka ʻikepili no ka ʻike ʻana i nā mamana ma mua o ka hāʻawi ʻana i ka ʻenekini Prediction.
Ma ka ʻenekini Prediction, hoʻokō hou ʻia ka hoʻoholo ʻana, a hoʻonui ʻia nā ʻike hana i ka manawa maoli. Loaʻa iā ia ka ʻike ʻikepili a me ka nānā ʻana i ka pakuhi, a hāʻawi ia i nā wānana kaumaha a me nā helu like. Hiki iā Emcien ke mālama i ka ʻikepili i kūkulu ʻole ʻia a me ka ʻikepili lepo me ka ʻole o ka hoʻomākaukau ʻana.
Eia kekahi o nā noi a Emcien:
- ʻO nā koho
- Hoʻomau ʻana ka mea kūʻai
- Hāʻawi ʻia i ka manawa
- ʻIke ʻikepili a me ka nānā ʻana i ka pakuhi
ʻOiai manaʻo paha ka nui o nā alakaʻi ʻoihana e pono lākou i kahi kālā nui a i ʻole kahi hui i hoʻolako pono ʻia o nā ʻepekema data e hoʻohana i kēia mau mea hana, ʻaʻole kēia ka hihia. Nui nā mea hana ma ka mākeke e hiki ke kōkua i kahi ʻoihana e lilo i ʻenehana a mākaukau no ka wā e hiki mai ana o AI.
ʻO kēia mau mea hana wanana AI 9 maikaʻi loa he kī ia i kekahi hui nui e nānā ana e lawe i kāna mau ʻikepili i ka pae aʻe.
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