Nā hihia hoʻohana ʻikepili kemikala

E hoʻohana i ka ʻikepili synthetic ma kahi o ka ʻikepili maoli (koʻikoʻi).

Hoʻohana maikaʻi kā mākou mea kūʻai i ka ʻikepili ma o nā hihia hoʻohana ʻikepili synthetic. E ʻimi maanei i nā hihia hoʻohana ʻikepili synthetic waiwai nui no ʻoe!

Laʻana hoʻohana hihia 1

ʻIkepili Synthetic e like me ʻikepili hoʻāʻo

Pono ka ho'āʻo ʻana a me ka hoʻomohala ʻana me ka ʻikepili hōʻike hōʻike no ka hāʻawi ʻana i nā ʻōnaehana polokalamu hou.

ka hakaka ana

ʻO ka hoʻohana ʻana i ka ʻikepili pilikino a i ʻole ka ʻikepili hana kumu no ka mea ʻaʻole ʻae ʻia ka hōʻike hōʻike a ua pau nā ʻano hana ʻē aʻe a hoʻolauna "legacy-by-design".

ʻO kā mākou hopena

Hāʻawi a hoʻokuʻu i nā ʻōnaehana polokalamu hou me ka wikiwiki a me ka maikaʻi kiʻekiʻe me ka ʻikepili hoʻāʻo synthetic i hana ʻia e AI.

Laʻana hoʻohana hihia 2

ʻIkepili Synthetic no analytics

Aia mākou i waenakonu o ka hoʻololi kikohoʻe a ua kokoke e hoʻololi i ko mākou honua holoʻokoʻa. Eia nō naʻe, ʻoi aku ka maikaʻi o kēlā mau hoʻonā ʻikepili e like me ka ʻikepili hiki iā lākou ke hoʻohana. He mea paʻakikī kēia ma muli o nā ʻikepili koʻikoʻi / hoʻoponopono pilikino.

ka hakaka ana

ʻAʻohe ʻikepili = ʻaʻohe analytics. Nui nā hui i kahi kumu ʻikepili sub-optimal kahi ʻaʻole hiki ke hoʻohana wale ʻia ka ʻikepili.

ʻO kā mākou hopena

E kūkulu i kāu kumu ʻikepili ikaika me ka maʻalahi a me ka wikiwiki i ka ʻikepili synthetic i hoʻokumu ʻia e like me ka maikaʻi.

Laʻana hoʻohana hihia 3

ʻIkepili Synthetic no hōʻikeʻike huahana

Ke manaʻoʻiʻo nei ka ʻike: pono ʻoe i ka "data demo" no ka demo huahana e kāhāhā i kāu mau manaʻo me nā demos huahana pae aʻe.

ka hakaka ana

Loaʻa paha iā ʻoe nā manawa kūpono, no ka mea, ʻoi aku ka maikaʻi o kāu ʻikepili demo no ka demo huahana.

ʻO kā mākou hopena

E kāhāhā i kou mau manaʻo me nā hōʻike huahana pae aʻe, i hoʻopili ʻia me nā ʻikepili demo synthetic i hoʻokumu ʻia e AI.

Laʻana hoʻohana hihia 4

ʻIkepili Synthetic no weheweheʻikepili

Manaʻo ka nui o nā hui e hoʻokō i ka ʻikepili-driven innovation. Maʻaneʻi, pono ka ʻikepili a pono e kaʻana like i loko a i waho paha me nā ʻaoʻao ʻekolu ma ke ʻano he hoʻomaka. He mea maʻalahi ia: me ka ʻole o ka ʻikepili, ʻaʻohe mea hou i alakaʻi ʻia i ka ʻikepili a ʻaʻohe manawa hui pū. Maikaʻi no ka hoʻokō ʻana i nā mea hou i alakaʻi ʻia i ka ʻikepili, he mea nui ka loaʻa ʻana o ke kahua paʻa e komo a kaʻana like i ka ʻikepili pili.

ka hakaka ana

ʻO nā pilikia kaʻana like ʻana i ka ʻikepili e pili ana i nā kaʻina kānāwai e hoʻopau ana i ka manawa, ka ʻikepili waiwai ʻole i hoʻohana ʻia, ka nele o kahi kaʻana like paʻa e alakaʻi ana i ka pau ʻana o ka papahana a me ka hoʻohaʻahaʻa ʻana.

ʻO kā mākou hopena

Kaʻana like i ka ʻikepili synthetic ma ke ʻano he koho no ka kaʻana like ʻana i ka ʻikepili maoli. ʻAe kēia i kā mākou mea kūʻai aku e hoʻopau i kēlā mau pilikia kaʻana like ʻikepili i ʻōlelo ʻia. ʻO ka hope loa, hana kēia i kahi kumu ikaika e ʻike i ka hana hou i hoʻokele ʻia i ka ʻikepili, akā laila, i kahi agile ala e hiki ai ke komo a kaʻana like i ka ʻikepili.

Laʻana hoʻohana hihia 5

ʻIkepili Synthetic no ʻikepili monetization

Unlike traditional methods like data anonymization, synthetic data offers a faster and more aligned approach, granting access to the entire dataset while preserving individual privacy.

ka hakaka ana

Data anonymization does not always lead to anonymized data and decreases data quality.

ʻO kā mākou hopena

Use synthetic data to streamline processes, and enhance the quality of insights derived, enabling more effective and ethical data monetization strategies. 

uhi alakaʻi syntho

E mālama i kāu alakaʻi ʻikepili synthetic i kēia manawa!