Remove regression work
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A Curious and Terrified Marketer’s Start to AI and Predictive Analytics – Pt 2

Heinz Marketing

Their business case examples were useful; it helped to work through modeling a set of data with a real-life goal in mind that was, in this case, to predict the likelihood of a patient being readmitted. I’m not sure why this process isn’t generally the same, or if it was a user error on my part.

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Skill Up on AI with Trailhead

Salesforce Marketing Cloud

AI is the future of work Learn AI skills on Trailhead Discover generative AI innovation at Salesforce Be a Trailblazer with AI Skills Quest Artificial intelligence (AI) news is everywhere! AI is the future of work A new Salesforce study on digital skills in the workplace concluded, “The path forward is upskilling.

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How Machine Learning Can Help With Sales Forecasting

Hubspot

Since sales forecasting is a rather complex and time-consuming process, organizations seek ways to improve it, with many turning to machine learning. Machines are taught to recognize their mistakes in previously produced work fully autonomously, without any human verification. What’s more, AI has excellent reporting capabilities.

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Preparing for marketing mix modeling: What you need to know

Martech

They won’t accurately show which channels are working. A marketing mix model is a large regression model. A regression model is trying to understand the relationship between variables. How to approach marketing mix modeling today To avoid errors, organize your analysis before working with these complex models.

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Predictive Models – Future Insights from Past Data

Engagio

How predictive analytics modeling works in practice Data. Start this process with a small sample of the data. To recap (or TL; DR), here is the 7-step modeling process: Data collection Data cleansing Feature selection Model training Testing and validation Deployment Monitoring, updating, iterating There is no one-size-fits-all model.

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6 ways to use generative AI for your marketing

Martech

When using generative AI for new content, enter the process with strong ideas, specific examples and a unique perspective. Dig deeper: Working with text generators: A marketer’s guide to AI 2. Generative AI can assist in extracting insights using techniques like sentiment analysis, trend identification and regression analysis.

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How Technology Places CMOs at Risk of Losing Their Strategic Role

Vision Edge Marketing

How has this worked out for the CMO? Technology is not a replacement for good frameworks, processes and skills. The idea of turning on the robot and poof the work is done is quite appealing. What’s troubling to me is the sense that the role of Marketing is regressing.