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Senior Sales Engineer

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The Package contains a set of 7 activities which are as follows:

**Google Maps Scope** - The scope handles the connection client and authentication for Google Maps Platform activities.

**Find Place** - The Find Place activity takes as input a text and returns a place. The text input can be any kind of places data, for example, a name, address, or phone number.

**Nearby Search** -  A Nearby Search lets you search for places within a specified area. You can refine your search request by supplying keywords or specifying the type of place you are searching for.

**Get Place Details** \- The Get Place Details activity returns more comprehensive information about the indicated place such as its complete address, phone number, user rating and reviews.

**Get Place Photo** - The Get Place Photo activity gives you access to the millions of photos stored in the Places database.

**Place Autocomplete** - The Place Autocomplete activity can match on full words as well as substrings. Applications can therefore send queries as the user types, to provide on-the-fly place predictions.

**Query Autocomplete** - The Query Autocomplete activity allows you to add on-the-fly geographic query predictions to your application.

**Note:** Current release contains activities to communicate with Google Places only.

A comprehensive set of activities to easily communicate with 'Google Maps Platform'.

A set of activities to interact with Amazon Translate, a neural machine translation service that delivers fast, high-quality, and affordable language translation

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Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships like people, places, sentiments, and topics in unstructured text. You can now use Amazon Comprehend ML capabilities to detect and redact personally identifiable information (PII) in customer emails, support tickets, product reviews, social media, and more. No ML experience is required. For example, you can analyze support tickets and knowledge articles to detect PII entities and redact the text before you index the documents in the search solution. After that, search solutions are free of PII entities in documents.

  

_**Note.**_ The use of the Amazon Comprehend services is subject to a separate subscription which needs to be acquired from Amazon. Different terms and conditions may apply, as indicated here: [https://aws.amazon.com/service-terms/](https://aws.amazon.com/service-terms/) and data will be processed by Amazon as per their privacy and data collection policies. Also, activity uses the Amazon service for data identification and redaction and we can not warrant as to the accuracy or completeness of these activities.

Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.

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The PII feature is part of NER in Azure Text Analytics and it can identify and redact sensitive entities in the text that are associated with an individual person such as phone number, email address, mailing address, passport number, etc

  

_**Note.**_ The Azure AI Text Analytics services are subject to a separate subscription which needs to be acquired from Microsoft. Different terms and conditions may apply, as indicated here: [Cognitive Services Terms | Microsoft Azure](https://azure.microsoft.com/en-us/support/legal/cognitive-services-terms/) and data will be processed by Microsoft as per their privacy and data collection policies. Also, activity uses the Azure service for data identification and redaction, we can not warrant as to the accuracy or completeness of these activities.

Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them using Azure Text Analytics service.

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