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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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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning

Data is one of the most critical assets of many organizations. At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. This post is co-written with Emrah Kaya and Xinyi Zhou from Omron Europe.

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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.

APIs 133
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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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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.

APIs 118
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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 Amazon Q Business for customer engagement

AWS Machine Learning

We discuss how our sales teams are using it today, compare the benefits of Amazon Q Business as a managed service to the do-it-yourself option, review the data sources available and high-level technical design, and talk about some of our future plans. The following screenshot shows an example of an interaction with Field Advisor.

Sales 103