As marketing leaders, we know the drill when it comes to planning. The first step is to always understand the business goals and objectives for our organization’s upcoming year, quarter or season—depending on the type of business you lead. From there, we typically look at historical performance so we can forecast results and revenue. We do this to set marketing targets and drive budget conversations. And finally—with our data in hand—we sit with executives who ask us lots of questions to get at
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The Rise of Data Science as a Service
After a few AI winters, we may have finally entered the golden age for Machine Learning (ML) and Artificial Intelligence (AI). The environment for the expansion of ML for marketing has never been better, with exponential growth in data volume now meeting sophisticated algorithms and AI procedures to solve all kinds of business challenges. Couple this capability with the incredible efficiency of cloud storage and compute services, and the world is well
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