February 22, 2018, 3:28 pm
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1 Philippine Peso = 0.07045 UAE Dirham
1 Philippine Peso = 2.04297 Albanian Lek
1 Philippine Peso = 0.03415 Neth Antilles Guilder
1 Philippine Peso = 0.38059 Argentine Peso
1 Philippine Peso = 0.02443 Australian Dollar
1 Philippine Peso = 0.03415 Aruba Florin
1 Philippine Peso = 0.03837 Barbados Dollar
1 Philippine Peso = 1.59409 Bangladesh Taka
1 Philippine Peso = 0.0304 Bulgarian Lev
1 Philippine Peso = 0.00723 Bahraini Dinar
1 Philippine Peso = 33.58872 Burundi Franc
1 Philippine Peso = 0.01918 Bermuda Dollar
1 Philippine Peso = 0.02533 Brunei Dollar
1 Philippine Peso = 0.13159 Bolivian Boliviano
1 Philippine Peso = 0.06235 Brazilian Real
1 Philippine Peso = 0.01918 Bahamian Dollar
1 Philippine Peso = 1.2325 Bhutan Ngultrum
1 Philippine Peso = 0.18295 Botswana Pula
1 Philippine Peso = 384.03989 Belarus Ruble
1 Philippine Peso = 0.03832 Belize Dollar
1 Philippine Peso = 0.02429 Canadian Dollar
1 Philippine Peso = 0.018 Swiss Franc
1 Philippine Peso = 11.42605 Chilean Peso
1 Philippine Peso = 0.12152 Chinese Yuan
1 Philippine Peso = 54.88202 Colombian Peso
1 Philippine Peso = 10.87186 Costa Rica Colon
1 Philippine Peso = 0.01918 Cuban Peso
1 Philippine Peso = 1.71801 Cape Verde Escudo
1 Philippine Peso = 0.39493 Czech Koruna
1 Philippine Peso = 3.3921 Djibouti Franc
1 Philippine Peso = 0.11601 Danish Krone
1 Philippine Peso = 0.94226 Dominican Peso
1 Philippine Peso = 2.17652 Algerian Dinar
1 Philippine Peso = 0.24369 Estonian Kroon
1 Philippine Peso = 0.33858 Egyptian Pound
1 Philippine Peso = 0.52177 Ethiopian Birr
1 Philippine Peso = 0.01557 Euro
1 Philippine Peso = 0.03825 Fiji Dollar
1 Philippine Peso = 0.01371 Falkland Islands Pound
1 Philippine Peso = 0.01377 British Pound
1 Philippine Peso = 0.08533 Ghanaian Cedi
1 Philippine Peso = 0.89967 Gambian Dalasi
1 Philippine Peso = 172.74122 Guinea Franc
1 Philippine Peso = 0.14073 Guatemala Quetzal
1 Philippine Peso = 3.9296 Guyana Dollar
1 Philippine Peso = 0.15011 Hong Kong Dollar
1 Philippine Peso = 0.45024 Honduras Lempira
1 Philippine Peso = 0.11584 Croatian Kuna
1 Philippine Peso = 1.216 Haiti Gourde
1 Philippine Peso = 4.85824 Hungarian Forint
1 Philippine Peso = 261.23153 Indonesian Rupiah
1 Philippine Peso = 0.06714 Israeli Shekel
1 Philippine Peso = 1.24329 Indian Rupee
1 Philippine Peso = 22.71245 Iraqi Dinar
1 Philippine Peso = 713.12103 Iran Rial
1 Philippine Peso = 1.9248 Iceland Krona
1 Philippine Peso = 2.40936 Jamaican Dollar
1 Philippine Peso = 0.01359 Jordanian Dinar
1 Philippine Peso = 2.0619 Japanese Yen
1 Philippine Peso = 1.9413 Kenyan Shilling
1 Philippine Peso = 1.3061 Kyrgyzstan Som
1 Philippine Peso = 77.09572 Cambodia Riel
1 Philippine Peso = 7.62709 Comoros Franc
1 Philippine Peso = 17.26453 North Korean Won
1 Philippine Peso = 20.55496 Korean Won
1 Philippine Peso = 0.00575 Kuwaiti Dinar
1 Philippine Peso = 0.01573 Cayman Islands Dollar
1 Philippine Peso = 6.12565 Kazakhstan Tenge
1 Philippine Peso = 158.52676 Lao Kip
1 Philippine Peso = 28.96605 Lebanese Pound
1 Philippine Peso = 2.97621 Sri Lanka Rupee
1 Philippine Peso = 2.45904 Liberian Dollar
1 Philippine Peso = 0.22463 Lesotho Loti
1 Philippine Peso = 0.05848 Lithuanian Lita
1 Philippine Peso = 0.0119 Latvian Lat
1 Philippine Peso = 0.02544 Libyan Dinar
1 Philippine Peso = 0.17647 Moroccan Dirham
1 Philippine Peso = 0.31853 Moldovan Leu
1 Philippine Peso = 0.95396 Macedonian Denar
1 Philippine Peso = 25.47477 Myanmar Kyat
1 Philippine Peso = 45.90946 Mongolian Tugrik
1 Philippine Peso = 0.15451 Macau Pataca
1 Philippine Peso = 6.71398 Mauritania Ougulya
1 Philippine Peso = 0.62536 Mauritius Rupee
1 Philippine Peso = 0.29868 Maldives Rufiyaa
1 Philippine Peso = 13.76098 Malawi Kwacha
1 Philippine Peso = 0.35911 Mexican Peso
1 Philippine Peso = 0.07494 Malaysian Ringgit
1 Philippine Peso = 0.22327 Namibian Dollar
1 Philippine Peso = 6.88663 Nigerian Naira
1 Philippine Peso = 0.59477 Nicaragua Cordoba
1 Philippine Peso = 0.15035 Norwegian Krone
1 Philippine Peso = 1.98703 Nepalese Rupee
1 Philippine Peso = 0.02611 New Zealand Dollar
1 Philippine Peso = 0.00738 Omani Rial
1 Philippine Peso = 0.01918 Panama Balboa
1 Philippine Peso = 0.06229 Peruvian Nuevo Sol
1 Philippine Peso = 0.0629 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.11989 Pakistani Rupee
1 Philippine Peso = 0.06472 Polish Zloty
1 Philippine Peso = 106.82716 Paraguayan Guarani
1 Philippine Peso = 0.06982 Qatar Rial
1 Philippine Peso = 0.07256 Romanian New Leu
1 Philippine Peso = 1.0862 Russian Rouble
1 Philippine Peso = 16.12737 Rwanda Franc
1 Philippine Peso = 0.07193 Saudi Arabian Riyal
1 Philippine Peso = 0.14866 Solomon Islands Dollar
1 Philippine Peso = 0.2582 Seychelles Rupee
1 Philippine Peso = 0.34501 Sudanese Pound
1 Philippine Peso = 0.15536 Swedish Krona
1 Philippine Peso = 0.02534 Singapore Dollar
1 Philippine Peso = 0.01372 St Helena Pound
1 Philippine Peso = 0.42597 Slovak Koruna
1 Philippine Peso = 146.36485 Sierra Leone Leone
1 Philippine Peso = 10.78074 Somali Shilling
1 Philippine Peso = 381.75523 Sao Tome Dobra
1 Philippine Peso = 0.16785 El Salvador Colon
1 Philippine Peso = 9.87876 Syrian Pound
1 Philippine Peso = 0.22325 Swaziland Lilageni
1 Philippine Peso = 0.60368 Thai Baht
1 Philippine Peso = 0.04586 Tunisian Dinar
1 Philippine Peso = 0.0428 Tongan paʻanga
1 Philippine Peso = 0.07262 Turkish Lira
1 Philippine Peso = 0.12717 Trinidad Tobago Dollar
1 Philippine Peso = 0.55966 Taiwan Dollar
1 Philippine Peso = 43.06541 Tanzanian Shilling
1 Philippine Peso = 0.51746 Ukraine Hryvnia
1 Philippine Peso = 69.67197 Ugandan Shilling
1 Philippine Peso = 0.01918 United States Dollar
1 Philippine Peso = 0.54556 Uruguayan New Peso
1 Philippine Peso = 156.62766 Uzbekistan Sum
1 Philippine Peso = 478.3426 Venezuelan Bolivar
1 Philippine Peso = 435.71839 Vietnam Dong
1 Philippine Peso = 1.98465 Vanuatu Vatu
1 Philippine Peso = 0.04817 Samoa Tala
1 Philippine Peso = 10.20986 CFA Franc (BEAC)
1 Philippine Peso = 0.05179 East Caribbean Dollar
1 Philippine Peso = 10.20986 CFA Franc (BCEAO)
1 Philippine Peso = 1.85248 Pacific Franc
1 Philippine Peso = 4.79474 Yemen Riyal
1 Philippine Peso = 0.22325 South African Rand
1 Philippine Peso = 99.5492 Zambian Kwacha
1 Philippine Peso = 6.94226 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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