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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Moreover, it does not offer handy out-of-the-box integrations to your CCaaS or CRM systems for example. Learning must be ongoing and fast As ChatGPTs FAQ notes , it was trained on vast amounts of data with extensive human oversight and supervision along the way. Its not as automated as people assume. Finally, its gotta get stuff done.

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Finally, the CRM agent was used to get additional information on the customer.

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When to Use Webhooks vs APIs for App Data Sync

Avoxi

When to Use Webhooks vs APIs for App Data Sync In the fast data-driven world we live in, it’s critical to provide your teams with a holistic view of cross-departmental data.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

In my decade working with customers data journeys, Ive seen that an organizations most valuable asset is its domain-specific data and expertise. The team deployed dozens of models on SageMaker AI endpoints, using Triton Inference Servers model concurrency capabilities to scale globally across AWS data centers.

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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

Business use cases The account plans draft assistant serves four primary use cases: Account plan draft generation: Using Amazon Bedrock, weve made internal and external data sources available to generate draft content for key sections of the APs. Lets explore how we built this AI assistant and some of our future plans.

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Lesson #25: Customer Sample Lists Are the Most Challenging Part of Any VoC Program—And AI Could Help (Eventually)

PeopleMetrics

To survey customers right after an interaction, you need a real-time, automated flow of transactional data from internal systems like: CRM systems (for tracking sales and support interactions) Point-of-sale systems (for in-store purchases) Customer service platforms (for tracking phone or chat support) The biggest problem?

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Beyond CRM Contact Center Integration: Why Data Unification Is the Key to Customer Service Success

UJET

The API integration linking your contact center and your customer relationship management (CRM) tool shouldn’t be holding you back. API integrations are lines of code that connect two or more applications, like your CRM and your contact center. What Exactly Is CRM Contact Center Unification?

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