The Non-Boring, Expert’s 5-Step Guide to Preparing Your Data For AI/ML
Across the board, enterprise organizations are struggling to implement AI. Be the firm that gets it right.
Financial services media are abuzz with AI and Machine Learning for a reason. We’re a data-driven industry, and these technologies represent the ability to unlock a ton of potential insights.
This focused attention, along with the frothy consumer media, is driving a lot of unconstrained FOMO. The result? Financial services firms are implementing AI without a solid understanding of what they actually want AI to solve for them. This is a problem.
Rand estimates that more than 80% of AI projects will fail, which is double the rate of failure of non-AI IT projects.
If implementing AI is on your firm’s roadmap, then not making a plan is like planning to fail. To succeed with your AI initiatives, it’s critical to first define the problem you want to solve and prepare your data accordingly.
In this eBook, we break down the three crucial drivers of AI success, and walk through the step-by-step process for leveraging the benefits of AI at your firm.
This guide discusses how to:
- Define the problem you want to solve
- Prepare, gather, and clean your data
- Process data and extract insights
- Train and develop your AI model
- Achieve greater adoption across your organization
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