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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

By the end of the consulting engagement, the team had implemented the following architecture that effectively addressed the core requirements of the customer team, including: Code Sharing – SageMaker notebooks enable data scientists to experiment and share code with other team members.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 101
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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

As an AWS Partner, Talkdesk is using AI capabilities like Amazon Transcribe , a speech-to-text service, with the Talkdesk Agent Assist and Talkdesk Customer Experience Analytics products across a number of languages and accents. The following diagram shows the basic components and events used to enable communications.

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Real-time analysis of customer sentiment using AWS

AWS Machine Learning

We also demonstrate how to understand the different sentiments associated with specific entities in the text (such as company, product, person, or brand) directly from the API. Companies streaming online movies (OTT platforms), live concerts, or sports events. Use cases for real-time sentiment analysis. Financial institutions.

APIs 71
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5 Must-Attend Customer Service Conferences in 2019

Fonolo

Mark your calendars for these educational and inspiring events, listed chronologically here (And: If you think we forgot a relevant event, feel free to reach out and let us know!). Follow this event on Twitter here. The event focuses on helping attendees move forward, better allocate limited resources, or simply get started.

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Use Amazon SageMaker Data Wrangler in Amazon SageMaker Studio with a default lifecycle configuration

AWS Machine Learning

LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Use the following API call to create a new user profile with an associated lifecycle configuration: aws sagemaker create-user-profile --domain-id d-vqc14vvvvvvv. Rahul Nabera is a Data Analytics Consultant in AWS Professional Services.

Scripts 83
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Join Us This Summer for WebinarStock!

Callminer

This virtual conference will cover a ranging of topics, expert speakers, partners and customers about better customer and agent experiences through speech analytics. This is a great opportunity to listen, watch, and learn the latest CX analytics information out there! Webinarstock Calendar of Events.