The success of many organizations today relies heavily on the uptime of their critical applications. However, maintaining optimal uptime can be challenging, especially for organizations with large, complex IT environments. This case study outlines how a big data approach leveraging machine learning algorithms was used to improve the uptime of critical applications and generate significant cost savings for a customer.
The client, a leading Public Sector Bidding Marketplace based in Seattle, needed a digital makeover.
