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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. You can use the solution to evaluate videos against content compliance policies.

Policies 135
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The Power of Atomic Change to Unlock Quantum Growth in Any Business

C3Centricity

A Gartner survey found that employees’ willingness to support enterprise change fell from 74% in 2016 to just 43% in 2022. Amazon, known for its agile approach, continuously makes atomic changes to its e-commerce platform. So clearly atomic changes are the way to go.

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Evolution of Customer Experience in E-Commerce 2023

Lumoa

The evolution of customer experience in e-commerce has grown exponentially since the pandemic making customer experience more important than ever. E-commerce sales are now projected to reach $7.4 Here are the CX trends you can expect to see in 2023 and how to keep your e-commerce business on track with the evolution of CX.

e-support 195
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Building Customer Loyalty Through Strategic Distribution

ECXO

This involves not only traditional sales methods but also leveraging e-commerce platforms, social media, and partnerships with third-party distributors. 8. Provide Exceptional Customer Service · Responsive Support: Ensure that your customer support team is responsive and attentive.

Loyalty 325
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The Big-E’s: E-commerce and Customer Experience

Kustomer

The nature of the customer experience within e-commerce has never been more vital to the life of a brand than it is at this moment. While e-commerce (buying over the internet) has been growing in leaps and bounds before the pandemic, online shopping quite simply exploded in 2020.

e-support 114
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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning

Have an AWS Identity and Access Management (IAM) role for batch inference with a trust policy and Amazon S3 access (read access to the folder containing input data and write access to the folder storing output data). Refer to Supported Regions and models for batch inference for a complete list of supported models.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Personalized and context-aware retrieval – Vector databases can support personalized and context-aware retrieval in RAG systems. Knowledge bases are essential for various use cases, such as customer support, product documentation, internal knowledge sharing, and decision-making systems.