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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

These documents are internally called account plans (APs). In 2024, this activity took an account manager (AM) up to 40 hours per customer. In this post, we showcase how the AWS Sales product team built the generative AI account plans draft assistant. Its a game-changer for serving my full portfolio of accounts.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. With Amazon Titan Multimodal Embeddings , you can power more accurate and contextually relevant multimodal search, recommendation, and personalization experiences for users.

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Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

AWS Machine Learning

These models transform text and image inputs into custom visuals, opening up creative opportunities for both professional and personal projects. This post dives deep into prompt engineering for both Nova Canvas and Nova Reel. Yanyan graduated from Texas A&M University with a PhD in Electrical Engineering.

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25 Indicators of Fraud on Inbound Calls

Callminer

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. Some fraudsters build a rapport with a particular agent or retail associate over time before requesting that they send a financial sum to their bank account.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

The diagram shows several accounts and personas as part of the overall infrastructure. Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The following diagram gives a high-level illustration of the use case.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

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How to Achieve Personalized Customer Service with AI Tools

TechSee

Personalization as a driver in customer service. Delivering personalized customer service is more than just addressing a customer by name in an automated email, or segmenting by interest; it is a way to capture the customer’s attention and create a level of engagement that is authentic and relevant at every stage of the customer journey.