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

AWS Machine Learning

This is a joint blog with AWS and Philips. These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows. Users from several business units were trained and onboarded to the platform, and that number is expected to grow in 2024.

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Generative AI is Shaping The Future of Contact Centers in 2024

Balto

We’ve seen generative AI being applied in different industries with great results, specifically in the contact center domain. This blog aims to uncover the numerous use cases of generative AI in the modern contact center. The post Generative AI is Shaping The Future of Contact Centers in 2024 appeared first on Balto.

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

AWS Machine Learning

AIM342 (LVL 300) | Advancing responsible AI: Assessing and mitigating risk Wednesday November 29 | 4:30 PM – 5:30 PM (PST) Risk assessment is an essential part of developing AI solutions responsibly, especially with emerging industry standards and laws regarding AI risk, such as ISO 42001 and the EU AI Act.

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Three Red Flags Your Contact Center is Falling Behind and How to Get Back on Track

3CLogic

In this blog, we’ll explore three common red flags indicating your contact center is falling behind, and, more importantly, we share strategies to help you get back on track. Addressing the red flags discussed in this blog will help you set the stage for an efficient and secure contact center. The question is — where do you begin?