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Scheduling Software for Call Centers: Buying Tips & Best Practices

Callminer

That’s why it’s important to make use of the best tools available for the job.” ” – 15 Best Practices For Effective Call Center Management , Sling. Best Practices for Leveraging Your Call Center’s Scheduling Software. Look for scheduling tools that come with free updates.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members.

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5 Top Customer Service Articles for the Week of July 1, 2019

ShepHyken

Digital disruption, IOT, AI, big data, sophisticated and mysterious algorithms, bots…and the list goes on. Forbes) Business-to-business (B2B) and business-to-consumer (B2C) sales have traditionally been two different beasts, relying on two distinct sets of fundamentals and best practices. But times are changing.

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How to Best Use Customer Feedback: 3 Ways to Act on Big Data

PeopleMetrics

For all its promise, and all its hype, big data has always had one inherent problem. You see, big data is. And when you're facing something big, you may find it overwhelming. But let’s get you off that cold linoleum floor and discuss how to best use customer feedback.

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

AWS Machine Learning

For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.

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In the World of Big Data, Old School Customer Service Never Goes Out of Date

Up Your Service

Yet despite all this new “big data” and the insights it can deliver, customers all over the world still appreciate “Old School Customer Service”. Old School Customer Service” is good practice and good business. Today we use sophisticated technologies to learn a great deal about our customers.