Remove platform integration-layer
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AI in Customer Service: Chatbots and ChatGPT are just the Start

TechSee

Practical service automation requires a management layer that oversees and optimizes the LLM and integrates with the broader ecosystem of backend platforms and customer interfaces. Service requires making decisions and taking action across multiple platforms and environments.

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A secure approach to generative AI with AWS

AWS Machine Learning

The security of model weights—the parameters that a model learns during training that are critical for its ability to make predictions—is paramount to protecting your data and maintaining model integrity. To do this, we believe that you must have security and confidentiality built in across each layer of the generative AI stack.

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The Game-Changer: Why Omnichannel Comms is Critical for Gaming

Comm100

The Necessity of Multi-Layered Support During peak periods or major events, such as the return of the NFL, gaming platforms experience unprecedented traffic. Without a multi-layered online support model, companies risk not only frustrating their players, but also potentially losing millions of dollars.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Inbenta étend sa plateforme d'expérience client, permettant aux entreprises d'intégrer la solution d'IA générative de leur choix.

Inbenta

As a part of the integration, companies will be able to seamlessly add Open AI, Google, or other leading Generative AI platforms into their customer experience workflows and control how, where, and when these platforms are used. Today’s news represents a massive leap forward for Inbenta’s AI platform approach.

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Inbenta amplía su plataforma de experiencia del cliente, permitiendo a las empresas integrar la solución de IA generativa de su elección

Inbenta

As a part of the integration, companies will be able to seamlessly add Open AI, Google, or other leading Generative AI platforms into their customer experience workflows and control how, where, and when these platforms are used. Today’s news represents a massive leap forward for Inbenta’s AI platform approach.

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Getting Data from your WFM System

Call Design

A webservice can minimise this risk by allowing an additional business layer that can handle multiple users and accounts and limit access to only what the webservice requires. The business layer however allows for load balancing options to help with distribution and the ability to have different versions and languages of the same service.