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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Compliance tags – These may be needed to adhere to regulatory requirements, such as tagging with classification levels or whether data is encrypted or not.

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VoIP Phone Security: Best Practices for Protecting Customer Data

VirtualPBX

However, this convenience comes with a significant responsibility: safeguarding sensitive customer data. In this blog, we’ll explore the significance of securing your business’s customer data and share valuable tips and best practices to ensure privacy and protect against potential threats.

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How to hold customers accountable, and other outcomes based customer success best practices

ChurnZero

That’s especially true when it comes to aligning everyone on outcomes and gathering the data to track and measure them, which requires a set of outcomes based customer success best practices. What outcomes based customer success best practices do Keishla and Stephanie recommend? What are the milestones?

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Outbound Call Center Tips & Best Practices

Callminer

Download the report, The Insider’s Guide to Outbound Contact Centers , to leant more about the outbound calling marketplace, as well as best practices for outbound contact centers. Leverage best practices from your top performing agents to get other team members up to their level. Challenges Outbound Call Centers Face.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Some customers entrust Amazon Transcribe with data that is confidential and proprietary to their business. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. For more information about data privacy, see the Data Privacy FAQ.

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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. Part 2 discusses architectural considerations and development lifecycle practices. Ground your data in real customer interactions that reflect actual use cases but be sure to de-identify and anonymize the data.

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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.