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Mastering ‘Mental Accounting’: The Key to Persuasive Buying Decisions

Beyond Philosophy

I mention it here, not to rub it in your face (much), but because in the booking of this cruise, I saw an excellent example of how my wife and I leverage mental accounting regarding our splurges. It was our version of Mental Accounting. Mental Accounting ruins all that. People have various rules regarding found money.

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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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Discover the Actual Number of People You Can Effectively Manage

Beyond Philosophy

Let’s imagine that you’re an account manager with 200 customers. If you know that 80 percent of your revenue comes from 20 percent of those customers, what do you think happens to the other 80 percent that only accounts for 20 percent of the revenue? We were a tight-knit group. Yep, you guessed right, not much.

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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning

After you set up the connector, you can create one or multiple data sources within Amazon Q Business and configure them to start indexing emails from your Gmail account. The connector supports authentication using a Google service account. We describe the process of creating an account later in this post.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Security best practices to consider while fine-tuning models in Amazon Bedrock

AWS Machine Learning

The workflow steps are as follows: The user submits an Amazon Bedrock fine-tuning job within their AWS account, using IAM for resource access. The fine-tuning job initiates a training job in the model deployment accounts. Choose Create security group. You use this security group later during model customization job creation.

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The Remarkable Power of Tribes for Your Brand

Beyond Philosophy

Tribes are groups of people that are similar or connected in some way. . Sometimes tribes are based on the nationality, race, or ethnicity of a group of people, which is what I mean by a “formal” tribe. People can form relationships with brands and groups of employees. Moreover, out-of-group threats produces in-group cohesion.

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