Squark AI Tips Archive

Deploying the Power of LLMs and NLP in Squark: A Revolution in Automated AI Feature Engineering The world of AI and machine learning is constantly evolving, and Squark is at the forefront of this revolution. As the demand for personalized

Unlocking the Power of AI: 6 Ways to Drive Revenue in Gaming Artificial intelligence (AI) is transforming industries, and gaming is no exception. AI helps gaming businesses harness AI to enhance revenue operations (RevOps) and customer experience (CX), ultimately driving

Boosting Customer Lifetime Value with AI Customer Lifetime Value (CLV) represents the total revenue a company can expect from a customer throughout their relationship. A higher CLV leads to increased profitability and customer retention. In the world of Revenue Operations

Unlocking the Power of AI: 5 Ways to Enhance Customer Experience and Drive Revenue in Gaming Executive understanding of how AI enhances marketing, operations, and the player experience is necessary for competing in today’s rapidly changing gaming industry.  Whether you

What are AI-Personalized Conversion Paths? Personalized conversion paths provide a tailored and individualized experience for each customer.  Important to marketers, personalized paths help increase customer engagement, likelihood to buy, satisfaction, and ultimately lead to higher conversion rates. AI-personalized conversion paths

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