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5 rules for building an incredible brand relationship with your customers!

Beyond Philosophy

Nevertheless, we treat them as if they’re an entity, almost human-like, and we form something close to a personal connection with them. Forming an attachment is vital, here, establishing an Emotional Bank account. You have these accounts with people in your lives, and they make deposits and withdrawals in them all the time.

Banking 363
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Unbelievable Violation By World Renowned Bank – Record Fines!

Beyond Philosophy

Q: What has two Million phony accounts, 5,300 fired employees, a fine of $185 million and a retiring leader enjoying $124 million in stock and options after retirement? However, getting to your goal by opening a fake account in one of your customer’s names is deplorable. She spoke up and both accounts were closed.

Banking 416
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. We present our solution through a fictional consulting company, OneCompany Consulting, using automatically generated personalized website content for accelerating business client onboarding for their consultancy service.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

APIs 129
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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning

Amazon Personalize allows you to add sophisticated personalization capabilities to your applications by using the same machine learning (ML) technology used on Amazon.com for over 20 years. You can also add data incrementally by importing records using the Amazon Personalize console or API. No ML expertise is required.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. The underlying principle of these approaches involves the construction of prompts that encapsulate the recommendation task, user profiles, item attributes, and user-item interactions.