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AI-Enabled WFM Promotes Efficiency and Flexibility

DMG Consulting

Artificial intelligence (AI), automation, and the need for new capabilities to address asynchronous and digital interactions are driving a welcome transformation of these solutions. Machine learning (ML) helps evaluate algorithms to identify the most effective one to apply to each dataset.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

Real-Time Analytics Use advanced analytics tools to process and interpret data in real time, enabling dynamic personalization during customer interactions. Artificial Intelligence and Machine Learning Leverage A L and ML algorithms to uncover patterns, predict customer behavior, and offer personalized recommendations.

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

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A beginner’s guide to generative AI for business

Zendesk

Generative artificial intelligence (GenAI) is an AI-powered technology that uses extensive libraries of information to generate new things, like stories, pictures, videos, music, and software code. Generative AI uses machine learning (ML) algorithms to analyze large data sets. How does generative AI work?

AI 52