Squark AI Tips Archive

“We must use time as a tool, not as a couch.” – President John F. Kennedy While this quote came from a speech made to the National Association of Manufacturers in 1961 and wasn’t talking about using timestamps but rather

In the world of AI and predictive analytics, BERT isn’t a person but a machine learning, open source framework for Natural Language Processing (NLP). BERT, which stands for Bidirectional Encoder Representations from Transformers, is designed to help computers understand the

Yes, software services cost money, and there are some expensive options, but hear us out because we’re confident that the right tool predictive analytics tool can create room in your budget.  First, a refresher for those who need it, predictive

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