Remove Analytics Remove Big data Remove Exercises Remove Metrics
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Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data

Jon Arnold

What began as an exploration of contact center reporting, soon became a bigger exercise in the ever-expanding world of Big Data, and that has inevitably taken me into the adjacent galaxy of BI – business intelligence. The cloud has changed everything, and that brings us to Big Data. The mind boggles.

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How to Choose the Best Data Visualization Tools

Callminer

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Data Preparation.

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The Future of Customer Experience in Banking in 2023

Lumoa

The fact that consumers have a wider range of alternatives (and are willing to exercise them) means that the relationship between banks and their customers has become more vulnerable than ever before. Improving Products and Services Through Big Data. Adapting Customer Service in Real-Time.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Some risks may be acceptable to your business, and a threat modeling exercise can help your company identify what your acceptable risk appetite is. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

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Optimizing Call Center Customer Support for Increased Revenue

Tenfold - Contact Center Blog

Switch your agents tasks on occasion, encourage collaboration, and create team-building exercises. Businesses are getting deeper into predictive analytics, using artificial intelligence (AI) applications to help streamline call center experiences for customers and agents. This is where big data and predictive analytics come into play.

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The Critical Role Played by CEOs in Creating a Data-Driven Culture

SmartKarrot

This data goes unused cause the company does not have the tools and technology to understand, capture, or make sense of it. The Role of the Modern CEO in creating a data-driven culture. Data has been recognized as a need. As per HBR, “The CEO relies on data for decision making and enhancing the business to the whole company.”

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Image augmentation pipeline for Amazon Lookout for Vision

AWS Machine Learning

Model performance metrics. To avoid incurring unnecessary charges, use the Console to delete the endpoints and resources that you created while running the exercises in the post. Yuxin earned her MS from Stanford University, where she focused on deep learning and big data analytics. Model training result.