May 27, 2018, 5:40 pm
Facebook iconTwitter iconYouTube iconGoogle+ icon
1 Philippine Peso = 0.06987 UAE Dirham
1 Philippine Peso = 2.04394 Albanian Lek
1 Philippine Peso = 0.03405 Neth Antilles Guilder
1 Philippine Peso = 0.46707 Argentine Peso
1 Philippine Peso = 0.02507 Australian Dollar
1 Philippine Peso = 0.03386 Aruba Florin
1 Philippine Peso = 0.03804 Barbados Dollar
1 Philippine Peso = 1.58684 Bangladesh Taka
1 Philippine Peso = 0.03178 Bulgarian Lev
1 Philippine Peso = 0.00718 Bahraini Dinar
1 Philippine Peso = 33.30759 Burundi Franc
1 Philippine Peso = 0.01902 Bermuda Dollar
1 Philippine Peso = 0.02521 Brunei Dollar
1 Philippine Peso = 0.13049 Bolivian Boliviano
1 Philippine Peso = 0.06941 Brazilian Real
1 Philippine Peso = 0.01902 Bahamian Dollar
1 Philippine Peso = 1.2997 Bhutan Ngultrum
1 Philippine Peso = 0.18862 Botswana Pula
1 Philippine Peso = 380.82557 Belarus Ruble
1 Philippine Peso = 0.038 Belize Dollar
1 Philippine Peso = 0.02456 Canadian Dollar
1 Philippine Peso = 0.01888 Swiss Franc
1 Philippine Peso = 11.92087 Chilean Peso
1 Philippine Peso = 0.1215 Chinese Yuan
1 Philippine Peso = 54.23245 Colombian Peso
1 Philippine Peso = 10.69241 Costa Rica Colon
1 Philippine Peso = 0.01902 Cuban Peso
1 Philippine Peso = 1.79018 Cape Verde Escudo
1 Philippine Peso = 0.41871 Czech Koruna
1 Philippine Peso = 3.37645 Djibouti Franc
1 Philippine Peso = 0.12092 Danish Krone
1 Philippine Peso = 0.9416 Dominican Peso
1 Philippine Peso = 2.20987 Algerian Dinar
1 Philippine Peso = 0.25394 Estonian Kroon
1 Philippine Peso = 0.33993 Egyptian Pound
1 Philippine Peso = 0.51779 Ethiopian Birr
1 Philippine Peso = 0.01623 Euro
1 Philippine Peso = 0.03907 Fiji Dollar
1 Philippine Peso = 0.01422 Falkland Islands Pound
1 Philippine Peso = 0.01425 British Pound
1 Philippine Peso = 0.08823 Ghanaian Cedi
1 Philippine Peso = 0.89024 Gambian Dalasi
1 Philippine Peso = 171.23835 Guinea Franc
1 Philippine Peso = 0.13955 Guatemala Quetzal
1 Philippine Peso = 3.93875 Guyana Dollar
1 Philippine Peso = 0.14924 Hong Kong Dollar
1 Philippine Peso = 0.45305 Honduras Lempira
1 Philippine Peso = 0.11993 Croatian Kuna
1 Philippine Peso = 1.23264 Haiti Gourde
1 Philippine Peso = 5.18261 Hungarian Forint
1 Philippine Peso = 268.49914 Indonesian Rupiah
1 Philippine Peso = 0.06761 Israeli Shekel
1 Philippine Peso = 1.28921 Indian Rupee
1 Philippine Peso = 22.52235 Iraqi Dinar
1 Philippine Peso = 800.64676 Iran Rial
1 Philippine Peso = 2.00476 Iceland Krona
1 Philippine Peso = 2.38368 Jamaican Dollar
1 Philippine Peso = 0.01348 Jordanian Dinar
1 Philippine Peso = 2.08195 Japanese Yen
1 Philippine Peso = 1.91839 Kenyan Shilling
1 Philippine Peso = 1.2975 Kyrgyzstan Som
1 Philippine Peso = 77.23036 Cambodia Riel
1 Philippine Peso = 7.96595 Comoros Franc
1 Philippine Peso = 17.12003 North Korean Won
1 Philippine Peso = 20.46376 Korean Won
1 Philippine Peso = 0.00575 Kuwaiti Dinar
1 Philippine Peso = 0.0156 Cayman Islands Dollar
1 Philippine Peso = 6.24805 Kazakhstan Tenge
1 Philippine Peso = 158.41735 Lao Kip
1 Philippine Peso = 28.6285 Lebanese Pound
1 Philippine Peso = 3.00552 Sri Lanka Rupee
1 Philippine Peso = 2.59102 Liberian Dollar
1 Philippine Peso = 0.23569 Lesotho Loti
1 Philippine Peso = 0.05799 Lithuanian Lita
1 Philippine Peso = 0.0118 Latvian Lat
1 Philippine Peso = 0.02586 Libyan Dinar
1 Philippine Peso = 0.18008 Moroccan Dirham
1 Philippine Peso = 0.31929 Moldovan Leu
1 Philippine Peso = 0.99391 Macedonian Denar
1 Philippine Peso = 25.77516 Myanmar Kyat
1 Philippine Peso = 45.76412 Mongolian Tugrik
1 Philippine Peso = 0.15373 Macau Pataca
1 Philippine Peso = 6.73388 Mauritania Ougulya
1 Philippine Peso = 0.65627 Mauritius Rupee
1 Philippine Peso = 0.29618 Maldives Rufiyaa
1 Philippine Peso = 13.63553 Malawi Kwacha
1 Philippine Peso = 0.37196 Mexican Peso
1 Philippine Peso = 0.07566 Malaysian Ringgit
1 Philippine Peso = 0.23683 Namibian Dollar
1 Philippine Peso = 6.82899 Nigerian Naira
1 Philippine Peso = 0.59717 Nicaragua Cordoba
1 Philippine Peso = 0.15404 Norwegian Krone
1 Philippine Peso = 2.06962 Nepalese Rupee
1 Philippine Peso = 0.02745 New Zealand Dollar
1 Philippine Peso = 0.00732 Omani Rial
1 Philippine Peso = 0.01902 Panama Balboa
1 Philippine Peso = 0.0621 Peruvian Nuevo Sol
1 Philippine Peso = 0.06201 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.19897 Pakistani Rupee
1 Philippine Peso = 0.06975 Polish Zloty
1 Philippine Peso = 108.10348 Paraguayan Guarani
1 Philippine Peso = 0.06924 Qatar Rial
1 Philippine Peso = 0.0751 Romanian New Leu
1 Philippine Peso = 1.17631 Russian Rouble
1 Philippine Peso = 16.13468 Rwanda Franc
1 Philippine Peso = 0.07134 Saudi Arabian Riyal
1 Philippine Peso = 0.15092 Solomon Islands Dollar
1 Philippine Peso = 0.25547 Seychelles Rupee
1 Philippine Peso = 0.34155 Sudanese Pound
1 Philippine Peso = 0.16566 Swedish Krona
1 Philippine Peso = 0.02546 Singapore Dollar
1 Philippine Peso = 0.01422 St Helena Pound
1 Philippine Peso = 0.42241 Slovak Koruna
1 Philippine Peso = 149.32471 Sierra Leone Leone
1 Philippine Peso = 10.69051 Somali Shilling
1 Philippine Peso = 397.78391 Sao Tome Dobra
1 Philippine Peso = 0.16644 El Salvador Colon
1 Philippine Peso = 9.79608 Syrian Pound
1 Philippine Peso = 0.23678 Swaziland Lilageni
1 Philippine Peso = 0.60662 Thai Baht
1 Philippine Peso = 0.0483 Tunisian Dinar
1 Philippine Peso = 0.04363 Tongan paʻanga
1 Philippine Peso = 0.08961 Turkish Lira
1 Philippine Peso = 0.1286 Trinidad Tobago Dollar
1 Philippine Peso = 0.56886 Taiwan Dollar
1 Philippine Peso = 43.27563 Tanzanian Shilling
1 Philippine Peso = 0.49705 Ukraine Hryvnia
1 Philippine Peso = 71.0291 Ugandan Shilling
1 Philippine Peso = 0.01902 United States Dollar
1 Philippine Peso = 0.5933 Uruguayan New Peso
1 Philippine Peso = 151.83565 Uzbekistan Sum
1 Philippine Peso = 1494.25528 Venezuelan Bolivar
1 Philippine Peso = 433.30797 Vietnam Dong
1 Philippine Peso = 2.03595 Vanuatu Vatu
1 Philippine Peso = 0.04914 Samoa Tala
1 Philippine Peso = 10.63667 CFA Franc (BEAC)
1 Philippine Peso = 0.05136 East Caribbean Dollar
1 Philippine Peso = 10.63667 CFA Franc (BCEAO)
1 Philippine Peso = 1.926 Pacific Franc
1 Philippine Peso = 4.75366 Yemen Riyal
1 Philippine Peso = 0.23681 South African Rand
1 Philippine Peso = 98.716 Zambian Kwacha
1 Philippine Peso = 6.88415 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.”
Rating: 
No votes yet