Altenar’s use of Artificial Intelligence empowers the sportsbook software provider to reduce overall operational costs and increase satisfaction levels for both operators and players—culminating in one of the world’s leading sports betting solutions.
To gain deeper insight into the world of AI algorithms at Altenar, it was fitting to interview one of the dedicated data analysts employed by the sportsbook provider—someone who has witnessed multiple iterations of Altenar’s solutions and has played a crucial role in the development of SB2 as it operates today.
Altenar’s data analyst walks us through how AI and machine learning algorithms are applied to global data, and how these processes have helped Altenar meet business goals and milestones, while increasing the overall trustworthiness of the product from a security perspective.
What Are the Goals of Altenar’s Artificial Intelligence Algorithms?
“The field of artificial intelligence is constantly evolving, and businesses are seeking ways to leverage this technology to gain a competitive edge. Altenar is no exception—we aim to use machine learning algorithms to better understand customer behavior and forecast key operational metrics.”
“One major way we're using AI is through predictive modeling. For example, we use models to anticipate customer churn so we can proactively retain users. We also use classification models to segment customers or markets based on behavior and performance. This helps us identify our most profitable segments and tailor promotions and marketing accordingly.”
“We’re also applying clustering techniques to identify hidden patterns and correlations in our data. For instance, we’re developing a system to detect unusual market performance—cases where player win rates differ significantly from norms. We’re also working on player segmentation to better understand audience preferences and optimize the content and features offered to them.”
What Is the Pipeline for AI/ML Algorithms: From Proof of Concept to Backend Integration
“At Altenar, we follow a structured pipeline to ensure our AI/ML models are effective. It begins with identifying business needs, validating data consistency, building an MVP model with sample data, testing the model across datasets, refining it as needed, getting internal approval, deploying to production, and finally monitoring and maintaining the model to ensure long-term performance.”
“We use a variety of tools to assist with data processing and analytics, including Jupyter Notebook, Apache Kafka, and Spark. With these tools, we can handle big data and perform complex calculations quickly and efficiently. Additionally, using Apache Kafka enables us to access data from multiple sources without relying on APIs, which allows Altenar to perform necessary data updates more rapidly.”
You can learn more about Altenar, its solutions, and the people behind its globally recognized and award-winning sportsbook solution by contacting the team today for in-depth insight and a demo of your next business venture!
