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Nearly every department (Sales, Customer Success, Operations, Marketing, etc.) has become data-driven over the past couple of decades as new ways of collecting, processing, and visualizing data have emerged, but the marketing group is one of the standouts as they

Squark recently hosted a fireside chat with esteemed AI industry expert (and Squark advisor) Dr. Tom Davenport and Squark Co-CEO/Co-Founder Judah Phillips, “What Executives Need to Know About AI and ML in 2022 with Tom Davenport.” Among the many points

It is possible that you already have a citizen data scientist on your team, even if they aren’t formally recognized as such. This group of people has been slowly growing in numbers since the term was first coined in 2016,

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

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