June 25, 2018, 1:21 pm
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1 Philippine Peso = 0.06901 UAE Dirham
1 Philippine Peso = 2.02912 Albanian Lek
1 Philippine Peso = 0.03401 Neth Antilles Guilder
1 Philippine Peso = 0.5072 Argentine Peso
1 Philippine Peso = 0.02524 Australian Dollar
1 Philippine Peso = 0.03345 Aruba Florin
1 Philippine Peso = 0.03758 Barbados Dollar
1 Philippine Peso = 1.57159 Bangladesh Taka
1 Philippine Peso = 0.03155 Bulgarian Lev
1 Philippine Peso = 0.00712 Bahraini Dinar
1 Philippine Peso = 32.90079 Burundi Franc
1 Philippine Peso = 0.01879 Bermuda Dollar
1 Philippine Peso = 0.02526 Brunei Dollar
1 Philippine Peso = 0.1289 Bolivian Boliviano
1 Philippine Peso = 0.07111 Brazilian Real
1 Philippine Peso = 0.01879 Bahamian Dollar
1 Philippine Peso = 1.28053 Bhutan Ngultrum
1 Philippine Peso = 0.19402 Botswana Pula
1 Philippine Peso = 376.17437 Belarus Ruble
1 Philippine Peso = 0.03754 Belize Dollar
1 Philippine Peso = 0.02493 Canadian Dollar
1 Philippine Peso = 0.01856 Swiss Franc
1 Philippine Peso = 11.99061 Chilean Peso
1 Philippine Peso = 0.12218 Chinese Yuan
1 Philippine Peso = 54.75385 Colombian Peso
1 Philippine Peso = 10.57591 Costa Rica Colon
1 Philippine Peso = 0.01879 Cuban Peso
1 Philippine Peso = 1.77772 Cape Verde Escudo
1 Philippine Peso = 0.41526 Czech Koruna
1 Philippine Peso = 3.33615 Djibouti Franc
1 Philippine Peso = 0.12016 Danish Krone
1 Philippine Peso = 0.92728 Dominican Peso
1 Philippine Peso = 2.1963 Algerian Dinar
1 Philippine Peso = 0.25225 Estonian Kroon
1 Philippine Peso = 0.33484 Egyptian Pound
1 Philippine Peso = 0.51146 Ethiopian Birr
1 Philippine Peso = 0.01612 Euro
1 Philippine Peso = 0.03918 Fiji Dollar
1 Philippine Peso = 0.01416 Falkland Islands Pound
1 Philippine Peso = 0.01417 British Pound
1 Philippine Peso = 0.08979 Ghanaian Cedi
1 Philippine Peso = 0.87956 Gambian Dalasi
1 Philippine Peso = 169.07178 Guinea Franc
1 Philippine Peso = 0.14072 Guatemala Quetzal
1 Philippine Peso = 3.87599 Guyana Dollar
1 Philippine Peso = 0.14741 Hong Kong Dollar
1 Philippine Peso = 0.44878 Honduras Lempira
1 Philippine Peso = 0.11882 Croatian Kuna
1 Philippine Peso = 1.24803 Haiti Gourde
1 Philippine Peso = 5.23224 Hungarian Forint
1 Philippine Peso = 264.43067 Indonesian Rupiah
1 Philippine Peso = 0.06764 Israeli Shekel
1 Philippine Peso = 1.27568 Indian Rupee
1 Philippine Peso = 22.24728 Iraqi Dinar
1 Philippine Peso = 798.38407 Iran Rial
1 Philippine Peso = 2.03119 Iceland Krona
1 Philippine Peso = 2.45509 Jamaican Dollar
1 Philippine Peso = 0.01333 Jordanian Dinar
1 Philippine Peso = 2.06417 Japanese Yen
1 Philippine Peso = 1.89121 Kenyan Shilling
1 Philippine Peso = 1.28183 Kyrgyzstan Som
1 Philippine Peso = 76.00526 Cambodia Riel
1 Philippine Peso = 7.92522 Comoros Franc
1 Philippine Peso = 16.91094 North Korean Won
1 Philippine Peso = 20.86622 Korean Won
1 Philippine Peso = 0.00568 Kuwaiti Dinar
1 Philippine Peso = 0.01541 Cayman Islands Dollar
1 Philippine Peso = 6.38595 Kazakhstan Tenge
1 Philippine Peso = 158.00451 Lao Kip
1 Philippine Peso = 28.292 Lebanese Pound
1 Philippine Peso = 2.98572 Sri Lanka Rupee
1 Philippine Peso = 2.74709 Liberian Dollar
1 Philippine Peso = 0.25254 Lesotho Loti
1 Philippine Peso = 0.05728 Lithuanian Lita
1 Philippine Peso = 0.01166 Latvian Lat
1 Philippine Peso = 0.02548 Libyan Dinar
1 Philippine Peso = 0.1786 Moroccan Dirham
1 Philippine Peso = 0.3177 Moldovan Leu
1 Philippine Peso = 0.98891 Macedonian Denar
1 Philippine Peso = 25.98647 Myanmar Kyat
1 Philippine Peso = 45.97896 Mongolian Tugrik
1 Philippine Peso = 0.15183 Macau Pataca
1 Philippine Peso = 6.67042 Mauritania Ougulya
1 Philippine Peso = 0.65295 Mauritius Rupee
1 Philippine Peso = 0.29256 Maldives Rufiyaa
1 Philippine Peso = 13.4053 Malawi Kwacha
1 Philippine Peso = 0.37584 Mexican Peso
1 Philippine Peso = 0.07518 Malaysian Ringgit
1 Philippine Peso = 0.25239 Namibian Dollar
1 Philippine Peso = 6.72679 Nigerian Naira
1 Philippine Peso = 0.59207 Nicaragua Cordoba
1 Philippine Peso = 0.15205 Norwegian Krone
1 Philippine Peso = 2.03401 Nepalese Rupee
1 Philippine Peso = 0.02719 New Zealand Dollar
1 Philippine Peso = 0.00723 Omani Rial
1 Philippine Peso = 0.01879 Panama Balboa
1 Philippine Peso = 0.06134 Peruvian Nuevo Sol
1 Philippine Peso = 0.0609 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.28222 Pakistani Rupee
1 Philippine Peso = 0.06966 Polish Zloty
1 Philippine Peso = 106.55769 Paraguayan Guarani
1 Philippine Peso = 0.06839 Qatar Rial
1 Philippine Peso = 0.07509 Romanian New Leu
1 Philippine Peso = 1.18236 Russian Rouble
1 Philippine Peso = 15.96073 Rwanda Franc
1 Philippine Peso = 0.07046 Saudi Arabian Riyal
1 Philippine Peso = 0.1479 Solomon Islands Dollar
1 Philippine Peso = 0.25235 Seychelles Rupee
1 Philippine Peso = 0.33738 Sudanese Pound
1 Philippine Peso = 0.16635 Swedish Krona
1 Philippine Peso = 0.02551 Singapore Dollar
1 Philippine Peso = 0.01417 St Helena Pound
1 Philippine Peso = 0.41725 Slovak Koruna
1 Philippine Peso = 149.94363 Sierra Leone Leone
1 Philippine Peso = 10.72905 Somali Shilling
1 Philippine Peso = 394.98309 Sao Tome Dobra
1 Philippine Peso = 0.16441 El Salvador Colon
1 Philippine Peso = 9.67644 Syrian Pound
1 Philippine Peso = 0.25202 Swaziland Lilageni
1 Philippine Peso = 0.61856 Thai Baht
1 Philippine Peso = 0.04882 Tunisian Dinar
1 Philippine Peso = 0.04333 Tongan paʻanga
1 Philippine Peso = 0.08786 Turkish Lira
1 Philippine Peso = 0.12682 Trinidad Tobago Dollar
1 Philippine Peso = 0.56924 Taiwan Dollar
1 Philippine Peso = 42.63435 Tanzanian Shilling
1 Philippine Peso = 0.49267 Ukraine Hryvnia
1 Philippine Peso = 72.51597 Ugandan Shilling
1 Philippine Peso = 0.01879 United States Dollar
1 Philippine Peso = 0.59451 Uruguayan New Peso
1 Philippine Peso = 147.50094 Uzbekistan Sum
1 Philippine Peso = 1499.4363 Venezuelan Bolivar
1 Philippine Peso = 430.10147 Vietnam Dong
1 Philippine Peso = 2.07159 Vanuatu Vatu
1 Philippine Peso = 0.0488 Samoa Tala
1 Philippine Peso = 10.56614 CFA Franc (BEAC)
1 Philippine Peso = 0.05073 East Caribbean Dollar
1 Philippine Peso = 10.56614 CFA Franc (BCEAO)
1 Philippine Peso = 1.92165 Pacific Franc
1 Philippine Peso = 4.69466 Yemen Riyal
1 Philippine Peso = 0.25241 South African Rand
1 Philippine Peso = 97.51033 Zambian Kwacha
1 Philippine Peso = 6.80008 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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