December 14, 2017, 6:27 am
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1 Philippine Peso = 0.07286 UAE Dirham
1 Philippine Peso = 2.2371 Albanian Lek
1 Philippine Peso = 0.03532 Neth Antilles Guilder
1 Philippine Peso = 0.34185 Argentine Peso
1 Philippine Peso = 0.02619 Australian Dollar
1 Philippine Peso = 0.03532 Aruba Florin
1 Philippine Peso = 0.03968 Barbados Dollar
1 Philippine Peso = 1.64127 Bangladesh Taka
1 Philippine Peso = 0.0329 Bulgarian Lev
1 Philippine Peso = 0.00748 Bahraini Dinar
1 Philippine Peso = 34.73174 Burundi Franc
1 Philippine Peso = 0.01984 Bermuda Dollar
1 Philippine Peso = 0.0268 Brunei Dollar
1 Philippine Peso = 0.13611 Bolivian Boliviano
1 Philippine Peso = 0.06556 Brazilian Real
1 Philippine Peso = 0.01984 Bahamian Dollar
1 Philippine Peso = 1.27679 Bhutan Ngultrum
1 Philippine Peso = 0.20509 Botswana Pula
1 Philippine Peso = 397.22221 Belarus Ruble
1 Philippine Peso = 0.03964 Belize Dollar
1 Philippine Peso = 0.02545 Canadian Dollar
1 Philippine Peso = 0.01965 Swiss Franc
1 Philippine Peso = 13.01091 Chilean Peso
1 Philippine Peso = 0.13129 Chinese Yuan
1 Philippine Peso = 59.76786 Colombian Peso
1 Philippine Peso = 11.15079 Costa Rica Colon
1 Philippine Peso = 0.01984 Cuban Peso
1 Philippine Peso = 1.85774 Cape Verde Escudo
1 Philippine Peso = 0.43159 Czech Koruna
1 Philippine Peso = 3.50853 Djibouti Franc
1 Philippine Peso = 0.12539 Danish Krone
1 Philippine Peso = 0.95833 Dominican Peso
1 Philippine Peso = 2.2829 Algerian Dinar
1 Philippine Peso = 0.26354 Estonian Kroon
1 Philippine Peso = 0.35337 Egyptian Pound
1 Philippine Peso = 0.53936 Ethiopian Birr
1 Philippine Peso = 0.01684 Euro
1 Philippine Peso = 0.04169 Fiji Dollar
1 Philippine Peso = 0.01486 Falkland Islands Pound
1 Philippine Peso = 0.01487 British Pound
1 Philippine Peso = 0.08926 Ghanaian Cedi
1 Philippine Peso = 0.93552 Gambian Dalasi
1 Philippine Peso = 178.63095 Guinea Franc
1 Philippine Peso = 0.14558 Guatemala Quetzal
1 Philippine Peso = 4.02202 Guyana Dollar
1 Philippine Peso = 0.1549 Hong Kong Dollar
1 Philippine Peso = 0.46552 Honduras Lempira
1 Philippine Peso = 0.12694 Croatian Kuna
1 Philippine Peso = 1.24167 Haiti Gourde
1 Philippine Peso = 5.29563 Hungarian Forint
1 Philippine Peso = 269.1865 Indonesian Rupiah
1 Philippine Peso = 0.07009 Israeli Shekel
1 Philippine Peso = 1.27806 Indian Rupee
1 Philippine Peso = 23.49306 Iraqi Dinar
1 Philippine Peso = 705.13886 Iran Rial
1 Philippine Peso = 2.06944 Iceland Krona
1 Philippine Peso = 2.47282 Jamaican Dollar
1 Philippine Peso = 0.01405 Jordanian Dinar
1 Philippine Peso = 2.25091 Japanese Yen
1 Philippine Peso = 2.04067 Kenyan Shilling
1 Philippine Peso = 1.38333 Kyrgyzstan Som
1 Philippine Peso = 79.98016 Cambodia Riel
1 Philippine Peso = 8.15476 Comoros Franc
1 Philippine Peso = 17.85714 North Korean Won
1 Philippine Peso = 21.5879 Korean Won
1 Philippine Peso = 0.00599 Kuwaiti Dinar
1 Philippine Peso = 0.01627 Cayman Islands Dollar
1 Philippine Peso = 6.64028 Kazakhstan Tenge
1 Philippine Peso = 164.68253 Lao Kip
1 Philippine Peso = 29.98016 Lebanese Pound
1 Philippine Peso = 3.0371 Sri Lanka Rupee
1 Philippine Peso = 2.48373 Liberian Dollar
1 Philippine Peso = 0.26984 Lesotho Loti
1 Philippine Peso = 0.06049 Lithuanian Lita
1 Philippine Peso = 0.01231 Latvian Lat
1 Philippine Peso = 0.02708 Libyan Dinar
1 Philippine Peso = 0.18758 Moroccan Dirham
1 Philippine Peso = 0.34038 Moldovan Leu
1 Philippine Peso = 1.03175 Macedonian Denar
1 Philippine Peso = 27.00397 Myanmar Kyat
1 Philippine Peso = 48.25754 Mongolian Tugrik
1 Philippine Peso = 0.15954 Macau Pataca
1 Philippine Peso = 6.97619 Mauritania Ougulya
1 Philippine Peso = 0.67083 Mauritius Rupee
1 Philippine Peso = 0.30893 Maldives Rufiyaa
1 Philippine Peso = 14.20853 Malawi Kwacha
1 Philippine Peso = 0.37825 Mexican Peso
1 Philippine Peso = 0.08082 Malaysian Ringgit
1 Philippine Peso = 0.26978 Namibian Dollar
1 Philippine Peso = 7.06349 Nigerian Naira
1 Philippine Peso = 0.60937 Nicaragua Cordoba
1 Philippine Peso = 0.16524 Norwegian Krone
1 Philippine Peso = 2.0454 Nepalese Rupee
1 Philippine Peso = 0.02854 New Zealand Dollar
1 Philippine Peso = 0.00763 Omani Rial
1 Philippine Peso = 0.01984 Panama Balboa
1 Philippine Peso = 0.06416 Peruvian Nuevo Sol
1 Philippine Peso = 0.06375 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.16171 Pakistani Rupee
1 Philippine Peso = 0.07086 Polish Zloty
1 Philippine Peso = 111.49603 Paraguayan Guarani
1 Philippine Peso = 0.07223 Qatar Rial
1 Philippine Peso = 0.07805 Romanian New Leu
1 Philippine Peso = 1.16704 Russian Rouble
1 Philippine Peso = 16.57698 Rwanda Franc
1 Philippine Peso = 0.0744 Saudi Arabian Riyal
1 Philippine Peso = 0.15376 Solomon Islands Dollar
1 Philippine Peso = 0.26488 Seychelles Rupee
1 Philippine Peso = 0.13228 Sudanese Pound
1 Philippine Peso = 0.16689 Swedish Krona
1 Philippine Peso = 0.02681 Singapore Dollar
1 Philippine Peso = 0.01487 St Helena Pound
1 Philippine Peso = 0.4406 Slovak Koruna
1 Philippine Peso = 151.38888 Sierra Leone Leone
1 Philippine Peso = 11.05159 Somali Shilling
1 Philippine Peso = 412.7976 Sao Tome Dobra
1 Philippine Peso = 0.17361 El Salvador Colon
1 Philippine Peso = 10.21786 Syrian Pound
1 Philippine Peso = 0.26978 Swaziland Lilageni
1 Philippine Peso = 0.64663 Thai Baht
1 Philippine Peso = 0.0499 Tunisian Dinar
1 Philippine Peso = 0.04555 Tongan paʻanga
1 Philippine Peso = 0.07593 Turkish Lira
1 Philippine Peso = 0.13154 Trinidad Tobago Dollar
1 Philippine Peso = 0.59567 Taiwan Dollar
1 Philippine Peso = 44.30555 Tanzanian Shilling
1 Philippine Peso = 0.53914 Ukraine Hryvnia
1 Philippine Peso = 71.66666 Ugandan Shilling
1 Philippine Peso = 0.01984 United States Dollar
1 Philippine Peso = 0.57401 Uruguayan New Peso
1 Philippine Peso = 160.53571 Uzbekistan Sum
1 Philippine Peso = 0.19792 Venezuelan Bolivar
1 Philippine Peso = 450.57538 Vietnam Dong
1 Philippine Peso = 2.11786 Vanuatu Vatu
1 Philippine Peso = 0.05142 Samoa Tala
1 Philippine Peso = 11.04186 CFA Franc (BEAC)
1 Philippine Peso = 0.05357 East Caribbean Dollar
1 Philippine Peso = 11.51528 CFA Franc (BCEAO)
1 Philippine Peso = 1.99881 Pacific Franc
1 Philippine Peso = 4.95933 Yemen Riyal
1 Philippine Peso = 0.26986 South African Rand
1 Philippine Peso = 102.96627 Zambian Kwacha
1 Philippine Peso = 7.18056 Zimbabwe dollar

AWS REINVENT 2017;

TRENDS in customer experiences have moved towards employing chatbots and roboadvisers, systems that require an interaction beyond the keyboard. Amazon Web Services (AWS) has just launched three language oriented services at the annual reInvent conference.

Amazon Translate, Transcribe and Comprehend are all aimed adding functionality to applications and well as integrate them with other AWS services such as the Amazon Lex, Polly and Rekognition. These new services are up on the company’s on-demand Cloud computing platform either as previews except for Comprehend which is already available.

Created for those developers who are not experts in machine learning, but are interested in using these technologies to build a new class of apps that exhibit human-like intelligence the new services provide high-quality, high-accuracy machine learning services that are scalable and cost-effective.

No less than AWS CEO Andy Jassy introduced the three services in his keynote which were highlighted by actual implementations of the services.  

“Today, customers are storing more data than ever before, using Amazon Simple Storage Service (Amazon S3) as their scalable, reliable, and secure data lake. These customers want to put this data to use for their organization and customers, and to do so they need easy-to-use tools and technologies to unlock the intelligence residing within this data,” Swami Sivasubramanian, VP of Machine Learning, AWS explained.

Amazon Translate, available in preview on the AWS platform, uses state of the art neural machine translation techniques to provide highly accurate translation of text from one language to another. Amazon Translate can translate short or long-form text and supports translation between English and six other languages (Arabic, French, German, Portuguese, Simplified Chinese, and Spanish), with many more to come in 2018.

Amazon Transcribe converts speech to text, allowing developers to turn audio files stored in Amazon S3 into accurate, fully punctuated text. Amazon Transcribe has been trained to handle even low fidelity audio, such as contact center recordings, with a high degree of accuracy. Amazon Transcribe can generate a time stamp for every word so that developers can precisely align the text with the source file. Today, Amazon Transcribe supports English and Spanish with more languages to follow. In the coming months, AmazonTranscribe will have the ability to recognize multiple speakers in an audio file, and will also allow developers to upload custom vocabulary for more accurate transcription for those words. It is available only in preview mode to developers.

Amazon Comprehend, released during the reInvent conference last November 28, can understand natural language text from documents, social network posts, articles, or any other textual data stored in AWS. Amazon Comprehend uses deep learning techniques to identify text entities (e.g. people, places, dates, organizations), the language the text is written in, the sentiment expressed in the text, and key phrases with concepts and adjectives, such as ‘beautiful,’ ‘warm,’ or ‘sunny.’ Amazon Comprehend has been trained on a wide range of datasets, including product descriptions and customer reviews from Amazon.com, to build best-in-class language models that extract key insights from text. It also has a topic modeling capability that helps applications extract common topics from a corpus of documents. Amazon Comprehend integrates with AWS Glue to enable end-to-end analytics of text data stored in Amazon S3, Amazon Redshift, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, or other popular Amazon data sources.

In addition to the text and speech recognition and translation service, AWS also launed a new video platform that upgrades from Rekognition, which is an image recognition service.

Amazon Rekognition Video can track people, detect activities, and recognize objects, faces, celebrities, and inappropriate content in millions of videos stored in Amazon S3. It also provides real-time facial recognition across millions of faces for live stream videos. Amazon Rekognition Video’s easy-to-use API is powered by computer vision models that are trained to accurately detect thousands of objects and activities, and extract motion-based context from both live video streams and video content stored in Amazon S3. Amazon Rekognition Video can automatically tag specific sections of video with labels and locations (e.g. beach, sun, child), detect activities (e.g. running, jumping, swimming), detect, recognize, and analyze faces, and track multiple people, even if they are partially hidden from view in the video.

“We’re excited to deliver four new machine learning application services that will help developers immediately start creating a new generation of intelligent apps that can see, hear, speak, and interact with the world around them.”
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