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Is Your Business Ready For AI?

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The pressure to adopt AI is immense, but before diving in, businesses need to assess their readiness. This article outlines the key steps involved in preparing for an AI implementation, emphasizing the importance of identifying specific business problems and evaluating data quality.

Promoted | Before you throw caution to the wind, it’s important to consider whether your business is actually ready for AI.

Common AI solutions include fraud detection, risk assessment, financial forecasting and regulatory compliance. In human resources, AI can assist with talent acquisition, while operations departments can benefit from supply chain optimisation and predictive maintenance. AI models fall into two main categories: preexisting models and custom models. Preexisting models are already trained and ready for use, such as ChatGPT or image recognition systems. Custom models, on the other hand, are built for specific, niche purposes and trained on your unique data. The type of model you choose depends on your use case.

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