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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. The following screenshot shows the results.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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5 mistakes companies make with customer support metrics – Tethr

Tethr

To transform your contact center to a business intelligence engine, first make sure you aren't making these common mistakes with your customer support metrics.

Metrics 62
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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. Users may have to manually filter out unsuitable image results when dealing with complex searches.

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5 Best Experience Management Metrics

ClearAction

5 Best Experience Management Metrics Lynn Hunsaker. Why are experience management metrics the #1 challenge year after year? This means current experience management metrics are insufficient! Understand how experience management metrics build upon one another, to see where you should focus. So, what’s the solution?

Metrics 62
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Contact Center Metrics That Matter

Speaker: Nate Brown, Co-Founder, CX Accelerator

Do you have the right metrics in place to assess your true impact? Learn how to round out your CX dashboard with metrics related to the employee experience, the customer journey, and business results. How to move beyond effort using Customer Engagement Score, Customer Growth Engine and more to develop a CX dashboard.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.