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

AWS Machine Learning

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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What is the CFPB Consumer Financial Protection Bureau? Definition, Tips, Best Practices, and Compliance Challenges of the CFPB

Callminer

The Consumer Financial Protection Bureau (CFPB) is an agency of the United States government set up after the financial crisis of 2008 in order to protect the rights of consumers in the financial services industry. CFPB Compliance Best Practices. Once again, speech analytics can be really helpful here.

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What is PCI Compliance Call Recording & Transcription: Definition, Expert Tips & Best Practices

Callminer

Perhaps the strongest reason companies record and/or transcribe calls is that it’s often required by government entities. Expert PCI Compliance Tips & Best Practices. Below, we’ve rounded up 17 tips and best practices for PCI compliance from industry and regulatory experts. Expand your call recording practices.

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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

This post outlines steps you can take to implement a comprehensive tagging governance strategy across accounts, using AWS tools and services that provide visibility and control. Tagging is an effective scaling mechanism for implementing cloud management and governance strategies.

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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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Call Center Agent Feedback: Tips & Best Practices for Providing Effective Agent Feedback

Callminer

Tools like interaction analytics can help call center managers identify relevant issues and deliver precise, targeted feedback to agents and have a more direct impact on metrics like call handling time. Check out some more information about agent performance from our vault here: Expert Tips & Best Practices for Effective Agent Feedback.

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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards.