Blog Categories

Digital Signup, a division of Softura, announced today that its cloud-based registration software of the same name is now available with Microsoft Teams integrated directly into the platform to provide capabilities for conducting classes remotely and assist with registration communication.

Recruiting resources from the market is time-consuming and not cost effective. And ultimately the talent pool is often limited by geography.

Born out of the necessity to help companies embark on multiple long-term projects, Softura’s Dedicated IT Teams Model allows organizations to maximize their ROI without having to worry about building a team from the ground up. In this post, we’ve outlined the top 5 reasons why our maximizer, the Dedicated IT Services Team, is the best fit for those who need resources for long term software development projects with varying priorities and scope.

A global survey of IT leaders found that investing in an application modernization strategy or digital transformation is set to increase by 46% in 2022-23. The survey also found that 79% of enterprises have significantly improved end-user experiences through legacy system modernization approaches.

Geofencing is a feature with which you can set up automatic actions for moments when a device or product enters or leaves a pre-established geographical zone. Traditionally used for security purposes, these virtual boundaries are also proving valuable in businesses and manufacturing.

The advantages of migrating to the cloud are hard to ignore. It offers enhanced security, reduced maintenance costs, and provides companies with greater agility and flexibility. However, research shows that one in three cloud migration strategies fail and only 25% of companies meet their migration deadlines.

The term Artificial Intelligence (AI) was coined at the Dartmouth Summer Research Project in 1956 for a branch of study dedicated to finding out how to make computers perform intelligent tasks. The shared vision of the authors was to enable computers to solve real-world problems unassisted.

Ever since Arthur Samuel popularized the term Machine Learning in 1959, ‘routine tasks’ have been codified and automated. Recent advancements in Artificial Intelligence (AI), Computer Vision, and Machine Learning have vastly increased the number of workflows and tasks that can be easily automated. Combined, these technologies facilitate advanced data processing, which makes it possible to computerize tasks that require high-level reasoning.