Artificial intelligence makes it easier for iGaming operators to control their data and hardware

In recent times, the limelight has been on the strides made in artificial intelligence (AI), with tools such as ChatGPT or GitHub Copilot causing quite a stir as they can create a diverse range of things from code to songs. Nevertheless, apart from these functionalities, artificial intelligence is contributing to iGaming data centers in a significant way. One of the key areas where AI is of great benefit is physical security, as it enables data centers to protect their resources from unauthorized physical intrusion by unscrupulous individuals.

Regrettably, ensuring physical security is always a costly endeavor as it requires the presence of personnel who can detect and respond to breaches in the physical environment. However, AI has the potential to assist by scrutinizing data that can aid in assessing physical input. Through real-time analysis of video feeds, AI has the ability to detect potential risk factors, relieving humans from the mundane task of monitoring video streams to identify potential threats.

Determining the appropriate timing for data center transitions between energy sources or devising strategies to deal with potential energy crises. Because of the numerous complex factors implicated, a straightforward methodology for handling challenges within data centers cannot be established.

Despite the level of advancement in modern AI, it’s feasible for the technology to make certain decisions. Although data center managers may still have to inform humans to verify guidance from AI tools, the logical approach is for AI to spearhead energy management and anticipate humans to comply with its directives rather than resort to force or face challenges.

Data center capacity management involves scaling infrastructure and coordinating the growth of physical space to meet demand. Unfortunately, this process is often tedious and manual. However, AI has the potential to revolutionize capacity management in data centers.

AI can assist operators in determining capacity needs for various scenarios by taking into account multiple variables, enabling them to make informed decisions regarding capacity management. In the event of an issue in a data center, such as a power disruption, accidental power supply shut off, or cyberattack disrupting essential infrastructure, this approach may prove useful.

Although playbooks remain useful, modern AI offers managers an additional tool to aid incident response management. The capability of AI to analyze a situation and plan a response faster than humans is highly valuable, particularly in unforeseen scenarios where there is no response document.