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10 Tried and Tested Generative AI Prompts for Customer Service Agents

This article presents 10 Generative AI prompts tested and refined to improve customer service effectiveness excerpted from our eBook, 51 Tried and Tested Generative AI Prompts for Customer Service Agents. With Generative AI, agents can rapidly generate personalized, context-aware responses across...

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Opening the Black Box: How to Create AI Transparency and Explainability to Build Trust

Can we really trust Artificial Intelligence? Let’s face it. AI has trust issues. AI is rapidly permeating our lives. But perhaps even more rapidly permeating, are fears about AI. Fears that are largely due to a lack of transparency as to how AI works. These concerns are evident in questions people...

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AI Bias, What It Is and How to Fix It

What Is Bias in AI? In the realm of artificial intelligence (AI), bias is an anomaly that skews outcomes, often reflecting societal inequities. AI bias can originate from various sources, including the data used to train AI models, the design of algorithms themselves, and the way results are...

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Generative AI and Data Preparation in an Integrated AI Strategy

Identifying how Generative AI and data preparation fits into your business case is a complex endeavor. If you are feeling overwhelmed trying to keep up with emerging AI technologies and applications — and it’s almost 100% likely that you are—you are not alone. Because “almost 100%” by definition...

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Continuous Improvement and Machine Learning Ops (MLOps)

The effectiveness of AI implementations, such as generative AI, is intrinsically linked to the quality and structure of the underlying data. However, maintaining the relevance and quality of this data is not a one-time task. It requires a continuous improvement approach, where machine learning...

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