Xensam pioneers AI to power software recognition

Advanced SAM Technology Powered by AI

When data accuracy and trustworthy data are of the utmost importance, it’s critical that you select a SAM tool that doesn’t compromise on data quality. Software normalization is the heart of any SAM system. If you cannot recognize an application, you cannot allocate a license to it, optimize it, map its usage or users, or track installation locations. You also can’t uninstall apps you don’t see. 

Xensam has the most advanced software recognition technology in the industry, as it is the first SAM system to incorporate in-house Artificial Intelligence and Machine Learning into our technology for the purpose of  automating software normalizaiton and optimizing data. The results are stunning, but what does this mean for you as a customer? 

AI-Powered Out-of-the-Box Software Recognition

AI and Machine Learning accelerate the process of broad and accurate software recognition. Xensam currently has the most comprehensive software library for software recognition, with more than 495,000 apps total and 105,000 web applications recognized. Our advanced recognition engine automatically categorizes additional metadata attributes like license requirements, release date, EOL, up-and down-grade paths, and GDPR compliance.

Xensam’s incorporation of AI in the recognition process makes it faster and easier to automatically detect new applications, new editions, and new versions of applications. It also increases the robustness of our data quality control, to ensure that you can fully trust the accuracy of Xensam’s AI-powered and human-approved software recognition.

AI-Powered Trend Analysis 

Another strength of Xensam’s AI-powered platform is the AI-powered Multidimensional Trending functionality. Multidimensional Trending brings a deeper level of analysis that goes beyond traditional metrics to provide a holistic view of application utilization, focusing on two crucial dimensions: Application Usage Trends and User Usage Trends.

1. Application Usage Trends offer a global view of application usage across all users, identifying underutilized applications and paving the way for comprehensive optimization strategies.

2. User Usage Trends delve into individual user interactions with applications, revealing nuanced usage behaviours and identifying underutilized applications by specific segments of your user base.