Software development gets a boost from the inclusion of artificial intelligence

DevOps provides continuous delivery of value to end users and adds automation and consistency to operations. However, it still requires manual processes, which can be replaced by artificial intelligence (AI) technologies to improve that efficiency. DevOps is of paramount importance in the iGaming market, which is why operators are relying on AI as the next technology capable of improving those practices and getting better results.

Since humans are not meant to handle large volumes of data and computation in day-to-day operations, AI is becoming a vital tool to compute, analyze and transform the way teams develop and manage applications. With AI, DevOps teams within the iGaming industry can test, code, release and monitor software more effectively, as well as improve automation, identify and fix problems faster, and improve team collaboration and communication.

By using AI data mapping techniques, online casinos can accelerate data transformation processes. Similarly, machine learning (ML) used in data mapping will also automate data integrations, which can enable iGaming operators to make decisions faster. With AI- and ML-driven DevOps, these organizations will be able to avoid scripted outages and breakage, as well as write more efficient and resilient code, which would be based on analysis of previous builds and application performance.

The use of AI will improve application security. In fact, it will more accurately detect and highlight any suspicious activity and then help track and learn the hacker’s motive for breaching the system. Ultimately, this capability will help DevOps teams better prevent threats and lessen the impact. This is something that is undoubtedly of utmost importance within the iGaming market.

Finally, with AI and ML technologies, DevOps can deliver better player experiences by improving performance through instant development and operation cycles. By inspecting user behavior, DevOps teams can focus on the areas essential to the user experience.