Pono ʻoe e unuhi koke i ka ʻike mai nā palapala he nui? A ʻo ia hoʻi, mālama ʻia lākou ma ke ʻano o nā scan a i ʻole nā kiʻi? Laki ʻoe inā he mea kūʻai aku ʻoe ma Amazon Web Services (AWS). Ua hoʻolaha ʻo Amazon i ka wehe ʻana o ke komo ʻana i , he lawelawe i hoʻokumu ʻia i ke ao a hoʻokele piha ʻia e hoʻohana ana i ke aʻo ʻana i ka mīkini no ka nānā ʻana i nā papa, nā palapala kikokikona, a me nā ʻaoʻao holoʻokoʻa o ka kikokikona i nā palapala uila kaulana. I kēia manawa, e loaʻa wale ia ma nā wahi AWS i koho ʻia, ʻo ia hoʻi ʻo ka US East (Ohio a me Northern Virginia), US West (Oregon), a me EU (Ireland), me Texttract e hele ākea i ka makahiki aʻe.
Wahi a Amazon, ʻoi aku ka maikaʻi o ka Texttract ma mua o nā ʻōnaehana ʻike ʻano optical maʻamau. Mai nā faila i mālama ʻia i loko o kahi pahu Amazon S3, hiki iā ia ke unuhi i nā ʻike o nā māla a me nā papa, me ka noʻonoʻo ʻana i ka pōʻaiapili kahi i hōʻike ʻia ai kēia ʻike, no ka laʻana, hōʻike koke ka ʻōnaehana i nā inoa a me nā helu palekana ma nā palapala ʻauhau a i ʻole nā huina. o na palapala loaa kii. E like me ka ʻōlelo a Amazon , Kākoʻo ʻo Texttract i nā ʻano kiʻi e like me nā scans, PDFs, a me nā kiʻi, a hana maikaʻi me ka pōʻaiapili i nā palapala kikoʻī i nā lawelawe kālā, ʻinikua, a me ka mālama ola kino.
Mālama ke kikokikona i nā hualoaʻa ma ka palapala JSON i hōʻike ʻia me nā helu ʻaoʻao, nā ʻāpana, nā lepili palapala, a me nā ʻano ʻikepili, a me ka koho koho ʻana me nā lawelawe ʻikepili a me ka analytics e like me Amazon Elasticsearch Service, Amazon DynamoDB, Amazon Athena, a me nā huahana aʻo mīkini, e like me Amazon Comprehend, ʻO Amazon Comprehend Medical, Amazon Translate, a me Amazon SageMaker no ka hana hope. ʻO kahi ʻē aʻe, hiki ke hoʻololi pololei ʻia nā ʻikepili i unuhi ʻia i nā lawelawe kapuaʻi ʻaoʻao ʻekolu no ka hoʻokō ʻana i ka helu a me ka hoʻoponopono ʻana a i ʻole ke kākoʻo ʻana i nā ʻimi akamai ma nā waihona palapala. Wahi a Amazon, hiki iā Texttract ke "pololei" i nā miliona o nā palapala like ʻole i loko o "he mau hola wale nō."
Nui nā mea kūʻai mai AWS i hoʻohana i ka Texttract, me Globe a me Mail, ka UK National Weather Service, PricewaterhouseCoopers, Healthfirst, kahi hui mālama mālama waiwai ʻole, a me nā hui automation kaʻina hana robotic UiPath, Ripcord, a me Blue Prism. ʻO Candor, kahi hoʻomaka e manaʻo e lawe mai i ka ʻike maopopo i ka ʻoihana moraki, hoʻohana i ka Texttract e unuhi i ka ʻikepili mai nā palapala e like me nā ʻōlelo panakō, nā uku uku a me nā palapala ʻauhau like ʻole e wikiwiki i ke kaʻina hana ʻae no kāna mau mea kūʻai.
"ʻO ka mana o Amazon Textract ʻo ia ka unuhi pololei ʻana i ka ʻikepili a me ka ʻikepili i hoʻonohonoho ʻia mai kahi palapala me ka ʻole o ka pono o ke aʻo ʻana i ka mīkini ma mua," wahi a Swami Sivasubramanian, hope pelekikena o Amazon Machine Learning. "Ma waho aʻe o ka hoʻohui ʻana me nā lawelawe AWS ʻē aʻe, ʻo ke kaiāulu nui e ulu ana a puni Amazon Text hiki i kā mākou mea kūʻai ke loaʻa ka waiwai maoli mai kā lākou hōʻiliʻili faila, hana ʻoi aku ka maikaʻi, hoʻomaikaʻi i ka mālama palekana, hoʻokomo i ka ʻikepili, a wikiwiki i nā hoʻoholo ʻoihana."
Hiki iā ʻoe ke nānā i ka hōʻike ʻana o Texttract ma re:Invent 2018 ma ka ʻōlelo Pelekania.
Source: 3dnews.ru