ʻO ka loulou nalowale i ka loaʻa ʻana o ka loaʻa pono o ka ʻikepili
E hana hou i kāu kaʻina hana kūʻai, akā e hana pololei
Ua ʻike mua nā alakaʻi kūʻai o kēia lā i ka wā e hiki mai ana o ke kūʻai ʻana i ka ʻikepili. Akā, e hoʻokaʻawale mākou i kahi minuke. He aha ka ʻikepili-driven procurement pololei? He aha nā ʻāpana kūkulu kikoʻī āu e pono ai e hoʻomaopopo i kēia? A ma ke ʻano o ka pae oʻo, aia ʻoe i kēia manawa?
I kēia mau lā, ʻaʻohe hiki ke noʻonoʻo ʻia e lilo i kahi hanana a ʻike ʻole i kekahi o kēia mau buzzwords: ʻike kuʻuna (AI), ʻike mīkini (ML), ʻike ʻike (BI) a me nā mea hou aku. Kamaʻāina paha ia? ʻAʻole ia he mea kūpono ʻole hiki ke loaʻa kēia mau huaʻōlelo ma nā hae, ka pepa lele a i ʻole ke wikiō Promo a hoʻonāukiuki paha iā ʻoe. ʻOluʻolu lākou, trending a piha nā mea i ka wā e hiki mai ana. No laila, e launa me ka papahana e kamaʻāina me kēia mau ʻenehana a hiki ke hoʻomaopopo pehea e hiki ai iā lākou ke loaʻa kālā i kāu ʻoihana a me nā hana o kēlā me kēia lā. Ke hana ʻoe, ka hana kūpono loa e hoʻomaka ai, e nānā i nā mea i ke kumu o kēia mau mea hou: hiki maʻalahi i ka hiki ke hoʻohana, ʻikepili kiʻekiʻe.
Nā Algorithms a me nā ʻikepili - nā mea e ʻike inā makemake ʻoe e male hauʻoli lākou
Hiki i nā algorithms ke hāʻawi iā ʻoe i nā ʻike hiki ke hana. No ka laʻana, hiki iā lākou ke ʻike i nā kumu hoʻolimalima, manaʻo i nā loli i ka noi o ka mea kūʻai aku a ʻike i nā bottlenecks i ke kaʻina kūʻai ma mua o ka kū ʻana. Ke hana pololei ʻia, waiwai nui kēia mau ʻenehana a pono no ke kaʻina hana kūʻai kūpono.
Eia nō naʻe, ʻike mākou i nā loea kūʻai he nui e hakakā ana mai kahi kahua ʻikepili sub-maikaʻi loa i loaʻa mau i ka ʻikepili maikaʻi a maikaʻi ʻole hiki ʻole ke kiʻi maʻalahi (a wikiwiki). Akamai paha nā Algorithms, akā mau nō naʻe nā mīkini. ʻO ia hoʻi inā ʻoe e hānai iā lākou i nā ʻōpala (ma muli o ke kahua ʻike ʻikepili maikaʻi ʻole), hāʻawi lākou iā ʻoe i nā ʻōpala e like me ka hopena. Kapa ʻia kēia ka ʻōpala i waho = garbage out kumu, a he kūlana ia ʻaʻole ʻoe e makemake e hoʻonohonoho iā ʻoe iho i alakaʻi alakaʻi. Nā ʻōuli maʻamau o ka loaʻa ʻana o kahi kahua ʻikepili sub-maikaʻi loa a mākou e ʻike ai, a i ʻike ai ʻoe, i ka hana ʻana:
- Mālama ʻia he mau pule a i kekahi manawa paha i mau mahina e hiki ai i ka ʻike pili
- ʻAʻole lawa ka ʻikepili a me ka nele o ka ʻikepili
- ʻIkepili maikaʻi a maikaʻi ʻole, me ka nui o nā waiwai nalo a hewa ʻole
- (Kulekele) ikepili koʻikoʻi a no laila ʻaʻole hiki ke kiʻi ʻia
- ʻO nā alahele hoʻopau manawa a me nā kaʻina hana i loko e kiʻi i ka ʻikepili kūpono
Ke kumu ikaika e pono ai kāu ʻoihana kūʻai
He aha ke ʻano o ke kaʻina hana kūʻai he hiki mai? Ma ke kūpono, makemake kekahi e loaʻa kahi kahua ʻike ikaika me ka maʻalahi o ka ʻikepili i hiki ke hoʻohana ʻia a me ke kiʻekiʻe e hiki ai ke ʻike i ka hana hou a ka ʻikepili me nā buzzwords i ʻōlelo ʻia (e like me AI, ML, BI etc.). Me kahi kahua ʻike ikaika, e hāʻawi nā ʻikepili kiʻekiʻe iā ʻoe i nā hopena kiʻekiʻe a me nā ʻike hiki ke hana e hoʻonui i kāu ʻoihana kūʻai a hāʻawi iā ʻoe i kahi pōmaikaʻi nui i ka hoʻohālikelike ʻana i ka poʻe i nele i kahi kahua ʻike kūpono.
No laila pehea mākou e hana ai i kēia me ka pololei?
ʻO kekahi kaulahao ka ikaika e like me ka loulou nāwaliwali. A i ke kaulahao o ke kūʻai ʻana, aia ma mua ka hapa nui o nā loulou a maʻalahi hoʻi e hoʻokō. Eia naʻe, aia kekahi loulou paʻakikī i nalowale. Pehea ʻoe e hoʻokumu ai i kahi kahua ʻikepili ikaika a ma hea ʻoe e hoʻomaka ai ma ke ʻano he alakaʻi kūʻai?
Ke kaukaʻi nei i nā pilikia a kāu keʻena kūʻai aku e hakakā nei, hiki i Syntho ke kōkua iā ʻoe e hoʻokumu i kēia kahua ʻike ikaika. ʻO kekahi mau laʻana a Syntho e kākoʻo nei:
- Ke maʻalahi nei i ka ʻikepili pilikino (pilikino) me ka nalo ʻole o ka maikaʻi
- E hoʻolalelale i ka ʻike ʻikepili i ka ʻikepili (maʻalahi) mai nā pule (a i kekahi manawa mau mahina) a i nā hola
- E hoʻonā maikaʻi i nā pilikia e like me ka nalowale / hewa ʻole
- Inā loaʻa nā wīwī wiwo ʻikepili (e hoʻomaʻamaʻa e like me nā algorithm)
- Ke hana nei i ka ʻikepili synthetic akamai hou aʻe me nā ʻano like, nā ʻano a me nā pilina helu e like me ka ʻikepili mua āu
ʻIke paha ʻoe i nā ʻauana a mākou i ʻōlelo ai? A hāʻawi kēia ʻatikala iā ʻoe i kahi ʻano maikaʻi o kāu huakaʻi i ke kūʻai ʻana i ka ʻikepili-drive a me kāu pae makuahine o kēia manawa. Makemake mākou e hoʻolohe i kahi āu e kū ai, he aha nā pilikia āu e kū nei a me kāu pane maʻamau. No laila, e noho ana ʻo Syntho ma ka ʻAha Kūkā Hoʻolaha DPW ma Kepakemapa 15th a me 16th. E ʻoluʻolu e kāhea iā mā˚ou a e nīnau iā mākou i kāu mau nīnau āpau iā ʻoe. E kikoo wale aku i loko o ka DPW-platform or kāhea iā mā˚ou pololei i ka hohonu hohonu i ka wā e hiki mai ana o ke kūʻai ʻana i ka ʻikepili.
He synthetic ka ʻikepili, akā ʻoiaʻiʻo kā mākou hui!
Kāhea iā Syntho a ʻo kekahi o kā mākou poʻe loea e launa pū me ʻoe i ka wikiwiki o ka māmā e ʻimi i ka waiwai o ka ʻikepili synthetic!
Makemake ʻoe e aʻo hou e pili ana i ka maikaʻi o ka ʻikepili synthetic? E nānā i ke wikiō o SAS e loiloi ana i kā mākou ʻikepili synthetic!
ʻO ka maikaʻi o ka ʻikepili o ka ʻikepili synthetic i ka hoʻohālikelike ʻana i ka ʻikepili kumu ke kī. ʻO ia ke kumu i hoʻokipa ai mākou i kahi webinar me SAS (alakaʻi mākeke ma analytics) e hōʻike i kēia. Ua loiloi kā lākou mau loea loiloi i nā ʻikepili synthetic mai Syntho ma o nā loiloi analytics (AI) a kaʻana like i nā hopena. Hiki iā ʻoe ke ʻike i kahi recap pōkole o kēia ma kēia wikiō.
