The startup uses artificial intelligence to improve data collection and analysis for gaming companies and others
A startup technology company, Databricks, with origins in both academia and open-source community, is using artificial intelligence (AI) in order to simplify data collection. The world of gaming, as well as many other industries, are taking data analytics to the next level by improving the user experience through the company’s data engineering and science and analytics on an open and unified platform, so data teams can have faster interactions with systems and promote a quicker response.
There are many aspects of a gaming operation that can be improved with the use of AI-based analytics tools. Through data collection and analysis of the player’s purchase and behavior, gaming operators can have a better idea of what will make a successful player conversion; therefore, aiming at increasing revenue. Additionally, this software not only offers data analytics, but it can deliver it in real-time; meaning that abusive behaviors and potential fraudulent actions can be alerted in a timely manner. Besides fast data delivery, AI can predict which content is preferred by each individualized player through modeling the player based on sessions played and social data at scale. This feature can deliver a better gaming experience to customers and engage them for longer periods.
This San Francisco-based company – dedicated to artificial intelligence (AI) and machine learning (ML) – has great world-known partners such as Microsoft, Amazon, Tableau, Informatica, just to name a few. The integration of Databricks services can be taken to other parts of the operation; for instance, machine learning models can streamline workflows across teams by optimizing machine learning a bigger scale through the use of the Databricks Unified Data Analytics Platform. In addition, it can reduce the complexity of the infrastructure as well as reduce operational costs by gradually automating repetitive processes.
