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J.D. Power and Tethr collaborate to fuel customer experience insights

Tethr

Power is a global leader in consumer insights, advisory services, and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power site, or request a demo and just mention J.D. The post J.D.

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Build a custom UI for Amazon Q Business

AWS Machine Learning

For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. Provide the following parameters for the stack: Stack name – The name of the CloudFormation stack (for example, AmazonQ-UI-Demo ). VPCId – The ID of the existing VPC that can be used to deploy the demo.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Boost productivity – Empowers knowledge workers with the ability to automatically and reliably summarize reports and articles, quickly find answers, and extract valuable insights from unstructured data. The following demo shows Agent Creator in action. He currently is working on Generative AI for data integration.

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Large-scale feature engineering with sensitive data protection using AWS Glue interactive sessions and Amazon SageMaker Studio

AWS Machine Learning

To achieve that, AWS offers a unified modern data platform that is powered by Amazon Simple Storage Service (Amazon S3) as the data lake with purpose-built tools and processing engines to support analytics and ML workloads. For GlueDatabaseName , enter demo. Choose Launch Stack : Choose Next. print(classified_map).

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Revuze Launches a New Product Listing Optimization Tool For Marketplace Rankings

CSM Magazine

They have applied in-depth cx analytics to create a product listing optimization feature. A free demo is available here. You can get a free demo of Revuze here. The Revuze leadership team brings broad and multidisciplinary experience in big data, machine learning, NLP (natural language processing), and sentiment analysis.

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AI-based call center: How do they work?

NobelBiz

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Providing Real-Time Customer Insights AI tools process and analyze vast amounts of data in real-time, providing call centers with immediate insights into customer behaviors and trends.

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Add conversational AI to any contact center with Amazon Lex and the Amazon Chime SDK

AWS Machine Learning

In this demo, we use an Asterisk server (a free contact center framework) deployed on an Amazon EC2 server to emulate a contact center connected to the PSTN through an Amazon Chime Voice Connector. As part of this demo, a phone number is acquired via the Amazon Chime SDK and associated with the Asterisk PBX.