POWER-UP TIP: Think of partnering with a technology vendor as you would hiring a plumber. They do all of the hard work so all you need to do is turn the tap on to get water running (put your model live) as efficiently as possible. Automated Decisioning What’s the point of using AI to make predictions if you don’t use those predictions to make decisions? To truly maximize the potential of AI it needs to work hand-in-hand with your decisioning solution. With automated decisioning putting those predictions into action you can improve performance anywhere decisions are made across the customer lifecycle. Think as AI as fuel that feeds your decisioning. Removing silos and achieving this kind of relationship between your decisioning and AI technologies is imperative for the success of your project, and this integration should be high on your shopping/build list. In many organizations, data, AI, and decisioning are rarely one solution within an organization. You'll find them siloed. And bringing these three components together is often the source of delays and failures for AI projects. POWER-UP TIP: Whether you shop for or build your AI Decisioning Solution, make sure the decisioning, data, and AI capabilities are either prewired or can be integrated into one cohesive unit. It’ll save you time and money!
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