Ushering a company through a rebrand is a daunting enough task. Now try walking that tight-rope when your company is pivoting from a non-profit impact-driven organization to a for-profit company focused on making sure its clients receive accurate data to power their A.I. Sounds challenging, right? A.I. has become something of a buzzword in marketing circles, the technology has merits if you understand what it needs to make it successful.

“There is an idea that without that data artificial intelligence wouldn’t exist. There’s synthetic data creation, and there’s now models that can train off of very little data. But at the highest level, A.I. just doesn’t exist without training data. And quite honestly, trading data at this point, doesn’t exist without a massive human workforce. And that workforce is often overlooked.”

Those are the words of Heather Gadonniex, the VP of Marketing and Strategic Partnerships at Sama. She is a marketing and data expert with a mission to deliver actionable data to power marketers’ ambitious A.I. goals. On this episode of Marketing Trends, Heather discusses why marketers need to know where their data is coming from in order to know how to properly use their datasets. She also shares stories on how she helped Sama pivot from a non-profit organization into the world of for-profit business, the challenges of their rebrand and the importance of impact.

Main Takeaways:

• What Matters: There are a few core things that really matter in any business: personnel, culture, revenue and impact. Those four pillars all require different departments being in alignment with each other. Without any kind of alignment between your product teams, marketing teams, or sales stakeholders, you don’t have the ability to grow, scale or make the most impact that an organization can have in the marketplace because you’re not all focused on the same goals.
• Data 101: A.I. will continue to be one of the most important tools moving forward, but marketers must understand not just how to enable those insights to power your business, but where that third party data is coming from. Is the data set that the company is providing trained on your data or is it coming from another data set? The answer to those questions will impact the predictions you receive from your tech stack.
• How to Train Your Data: There’s this notion that A.I. and machine learning are going to replace marketing jobs in the future. However, that is simply not the case. What is often overlooked with new marketing technologies is the training data that goes into these tech stacks. At the highest levels, A.I. doesn’t exist without training data, which does not exist without a physical workforce behind it.

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