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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

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The Rise of Contact Center as a Service (CCaaS)

Noble Systems

For years, analyst firm Frost & Sullivan defined the cloud or hosted contact center as a “network-based service in which a service provider owns and operates a contact center technology platform” ( The Hosted Model: Why It’s Revolutionizing the Contact Center Industry ). Advanced Analytics. Robust APIs for integration.

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Call Centers Go Mobile to Satisfy Higher Customer Service Expectations

CSM Magazine

When technology was deployed, it was predominately committed to optimizing the BPO infrastructure and managing “bums in seats” BPO suppliers focused on solutions that could mitigate operational costs and driving process efficiency. The challenge for many providers is executing on this vision.

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How to Evaluate Call Center Software Vendors for Customer Data Platform Solutions

NobelBiz

In 2013, the CDP Institute was founded to help educate marketers about the technology and its benefits. If you want to learn more about the ins and outs of implementing technology, we encourage you to watch one of our latest webinars called: The Key Steps of Implementing New Contact Center Technology.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Innovation Talks – Learn about the latest cloud technology from AWS technology leaders and discover how these advancements can help you push your business forward. Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics.

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

AWS Machine Learning

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. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Contact Center Technologies 2017: find out what 23 experts say

RichCall

With the rise of technology that allows better customer service, customers are becoming more demanding – that’s why to satisfy and retain them, you need to develop your contact center in accordance with the worldwide trends. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016. Colin Taylor.