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Best practices for mastering generative AI in financial services

Learn best practices for assessing and implementing generative AI in financial services.

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What is automated quality management? - And why is it integral to transforming contact center operations?

Learn about how leading companies are deploying automated quality management in their contact centers to drive transformation.

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Customer Experience
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3 key considerations for successfully deploying AI for customer care

Learn three key considerations any organization should reflect on before deploying AI for customer care in a successful way

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The intersection of generative AI and big data: A turning point for financial services

Learn how the relationship between generative AI and big data is poised to transform the way financial institutions operate, interact with customers, and drive growth

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Generative AI’s role in the rapid advancement of CX

To clarify the value of generative AI in improving customer experience, Metrigy Research explored Generative AI’s Role in Rapid Advancement of CX in a recent whitepaper. We’ll highlight some of the report’s key insights to support your CX journey.

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Build vs. Buy: Pros and cons of building your own generative AI solution

Is it better to build your own generative AI solution or to partner with an AI provider? Let's explore both sides of the debate to clarify the best path forward.

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AI predictions for 2024 and what it means for your business

To help cut through the AI hype, call out common misconceptions, and offer predictions for AI in 2024, Cresta recently co-hosted a discussion with Opus Research, bringing together perspectives from leading industry experts on what lies ahead.

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Unlocking personalization at scale with the power of AI

For revenue-generating and service-to-sales contact centers, personalization is no longer a nice-to-have. We'll explore 4 ways to scale personalization in the contact center.

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Security as a competitive advantage: Evolving with the threat environment

Your contact center’s security may be vulnerable, and that’s a bigger (and more costly) problem than ever before.

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How to gamify (not game) with Generative AI in the contact center

Value-add gamification is a compelling opportunity in the contact center. But how do you get a true reflection of your conversations without employees gaming the system?

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How custom summarization saves hours of after-call work

One of the most remarkable abilities in large language models (LLMs) is to distill extensive and complex information into concise, coherent, and meaningful summaries.

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How to maximize the value of your telco’s ServCo (and why it’s so urgent)

In light of lackluster financial performance, telcos are increasingly unbundling their operations, and dealing with complicated dilemmas that emerge in the fallout. We’ll explore what those challenges look like, and outline how telco leaders can drive greater value from their ServCos.

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How generative AI helps drive efficiency and effectiveness in care organizations

It’s impossible to overstate the value of positive customer experiences, but businesses are clearly struggling to crack the code on quality care. Fortunately, generative AI can demystify care and help contact centers deliver the experiences customers crave.

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Creating the super coach: How AI elevates contact center managers

For most managers, traditional coaching is time consuming, monotonous, and not all that effective. Let's explore where coaching goes wrong, the enterprise-wide impact of lackluster coaching, and what you can do about it.

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Cresta CTO & Co-Founder on Driving Contact Center Revenue with AI

Cresta’s CTO and co-founder, Tim Shi, recently discussed the impact if AI on revenue generating contact centers with analyst Jon Arnold. Here are highlights from that discussion.

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