If your company builds or uses machine learning models, you need to be paying attention to Mobilewalla. The company helps brands get more out of their AI investments by enriching their predictive models with third-party consumer data. The result? Machine learning models that help companies better understand, acquire and retain customers. We sat down with Laurie Hood, SVP of Marketing at , to learn more about the company and its solutions.
Content marketers share a few common problems. They don’t know how their content performance compares to competitors or their industry. They often don’t have a complete picture of the content they have available. And they need help figuring out what content their audience truly desires.
Modern marketers rely heavily on data to make informed decisions and predictions. Behind dozens of dashboards, however, could be blind spots that prevent you from seeing additional business and time-savings potential.
This post is part of our AI Experts Series, which profiles leaders whose insights can help expand your understanding of artificial intelligence and how to apply it. Today's spotlight features Katie Robbert, CEO of Trust Insights.
Any good marketer knows one thing for certain: Good data is gold. It helps you make informed decisions, pivot campaigns, predict audience behavior, and compound marketing success. But there's one huge, often insurmountable problem with marketing data.
When we talk about artificial intelligence in marketing, we're usually talking about digital solutions that automate tasks like email sends or analytics reporting. Those who are more familiar with AI don't necessarily imagine robots out of a sci-fi movie coexisting in the workplace. But what if that's exactly what AI means?
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