Squark AI Tips Archive

Artificial Intelligence (AI) is not the future; it is already here. It is in your pocket, car, television, shopping experiences, and more and more in the automated workflows for businesses. But even as AI is becoming more prevalent, some people

Predictions give you future outcomes; data insights show you the roadmap to getting there. The right AI prediction tool, the one with layers of explainable AI, can provide you with both. From Your Historical Data to Future Outcomes & Insights

What Does No-Code AI Mean for Executives? Unlocked access, for business units, to the power of AI and machine learning. Teams and individuals are able to build their own projects in clicks. All features of data ingestion, data prep, feature

“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,