According to a 2021 Gartner study, 65% of decisions made are more complex (involving more stakeholders or choices) than they were two years ago. The challenge is, the growing rate of complexity is unsustainable without a way to process the ever
What is NLP? NLP stands for Natural Language Processing. NLP is used to understand the impact of the text, words, and phrases in your business data. It is a branch of Artificial Intelligence (AI) where computers learn to understand words
As the famous marketing statement supposedly said by the Philadelphia retailer John Wanamaker goes, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Had predictive AI been around, he wouldn’t have been
“I’ll never find enough data scientists or have enough budget to hire enough people to quell the demand that we have and so thinking more and more about opportunities to create, through technology augmentation, that would allow other folks in
Eliminate guessing about what your customer is likely to do next and refine your next action to focus on the items that will drive the business. Knowing what your customer is likely to do next – and why – helps
How many times have you asked yourself and your team, “which of my data is most important to each of my KPIs?” Aligning Your KPIs and Data Take, for example, the concept of customer lifetime value (CLTV) – an important
What is the difference between supervised vs. deep learning? The type of data you have will determine what AI/machine learning algorithms will best work for you – unless you have a tool that automatically adjusts to the best model for
‘AI is not going to replace managers, but managers who use AI are going to replace those who don’t.’ – Deborah Leff, former CTO for data science and AI at IBM. That quote probably sounded intimidating when it was said
Most marketers don’t manage with prediction, even the data-driven ones. That is changing with automated data science that leverages no-code AI technology. The technology puts the power of cutting-edge machine learning algorithms in the hands of marketers with just a
Hospitals spend over 2.9 billion dollars on healthcare marketing in a given year. If you include pharmacies, health insurance, physical therapy, and other forms of healthcare, that number gets bigger. It’s safe to say that healthcare marketing is big business.