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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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6 Reasons Why Data Governance Services Are Essential for Fraud Prevention in Finance

CSM Magazine

In this high-stakes environment, data governance services stand out as a vital pillar of protection. By ensuring data accuracy, integrity, and proper stewardship, data governance frameworks enable organizations to detect and prevent fraudulent activities before they spiral out of control.

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Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

AWS Machine Learning

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable.

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Guest Post: 6 Customer Service Trends That You’ll Want to Adopt in 2022

ShepHyken

Confidentiality is a growing concern of governments and businesses. Companies and government entities have been seen protecting their customers’ contact information by hiding their phone numbers. Today, banks face stiff competition from leading privatization-based technology companies.

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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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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer.

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Are banks building trust through customer service excellence?

Eptica

Date: Wednesday, May 6, 2020 Author: Pauline Ashenden - Demand Generation Manager Are banks building trust through customer service excellence? Author: Pauline Ashenden - Demand Generation Manager The coronavirus pandemic is actually accelerating digital transformation in many verticals, and banking is a prime example.

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