Natural language processing, or NLP, is a type of artificial intelligence that allows computers to understand and generate human language. By applying NLP to customer data, businesses can gain valuable insights into how customers feel about their products and services,
If you knew which of your prospects would buy and when, what would you do differently? What if you also knew what each prospect would buy, for how much, and why? An amazing world of managing future revenue and results
You’ve probably heard the phrase used before, in technical meetings. But what does it mean, really? What’s an “AI Pipeline?” An AI Pipeline is an end-to-end construct that orchestrates data flow into, and output from, a machine learning model (or
Data-Centric AI focuses on improving the data used to answer a business question or solve a problem versus changing the algorithm or writing new code. The idea of “data centricity” implies multiple techniques beyond “human in the loop” machine learning
Squark can apply generative techniques to improve the data that goes into your AI models. Instead of creating bad art 😂, we actually create good data. Here are a couple of methods we like: Enhancing missing data. When data is
On YouTube, you might learn that finding outliers is as simple as determining which data was above 2-times standard deviation. At Squark we wish that were true, but that isn’t a really accurate guideline, however helpful. It’s a dull data
Is your business ready for the metaverse? Is your marketing team prepared to serve those customers? How do segments differ and overlap from your customers in the physical world? If you’re asking yourself those questions, that’s a good start. If
Time series forecasting is one of the easier business use cases of machine learning and AI for people to understand. Just think about your 401k. Time series forecasting can take the historical performance of your 401k and predict the values
In our last post about machine learning, we went over what MLOps is and touched on the benefits. In this post, we go deeper into the benefits of automated machine learning (AutoML). A Go-To Tool for the Technology Stack: AutoML 1.
Direct-to-Consumer (DTC) brands have been on the rise for the past several years, their adoption accelerating with the pandemic. With their plethora of customer data and an inclination toward adopting the latest technologies, some have been earlier adopters and beneficiaries
Squark’s no-code AI SaaS platform and API is for Revenue Operations and serves industries like media & entertainment and SaaS, gaming and casinos, and healthcare marketing, delivering unmatched flexibility, speed, and ease-of-use for AI automation. Uncover AI-driven insights from your existing tabular and textual data using clicks instead of code. Prioritize decisions and take action based on data from any system, driving growth and expansion through customer outcome forecasting, attribution and media mix understanding, lifetime value prediction, and enhanced retention. Squark’s no-code AI boasts the simplicity of a spreadsheet while providing award-winning, powerful, accurate, scalable, and feature-rich capabilities including a powerful API surpassing many contemporary AI systems in business today.