This is why you need to prepare your data infrastructure for AI by unifying your data. Combining all your data on one platform gives your AI the most complete picture of your customers to work off. Simply put, you need this data to be clean (no errors or duplications) and complete (no missing info), so AI can interpret it and deliver useful feedback.
The good news is that your marketing team has a great opportunity to set the tone for how AI is used across your organization. You’re closer to the customers than most other departments, and can show how adopting AI helps you be more efficient.
“Marketing ops professionals in particular have a very usa whatsapp lead comprehensive view of the customer journey, they have access to a wealth of data, and they have the analytical skills to leverage it,” López said.
But marketing can’t do this alone. The entire organization needs to read from the same playbook. This starts by ensuring your organization has clearly documented AI policies and boundaries, and that those policies align with your wider business objectives. Making these training resources accessible to all departments – not just marketing – is critical to ensure everyone is using AI ethically and safely.
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