Resource Library
Access the latest white papers, research, webcasts, case studies and more covering a wide range of topics like IT, enterprise integration and open source.
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Preparing for the Future
Conversations around IT tended to focus on transactional technology, frameworks or the bones of a solution.
2018 State of Embedded Analytics Report
Why do some embedded analytics projects succeed while others fail? Many application teams don't realize that the features they embed and how they develop them have a lasting impact on revenue, customer retention, and competitive differentiation. We surveyed 500 application teams embedding analytics to find out what separates successful projects from failed ones.
Digitizing the Global Supply Chain
Implementing the most efficient and effective digital supply chain has become a critical part of being a successful digital business. Without this capability, it is impossible to be a true digital business. Moving to a digital solution is essential to transforming your global supply chain. The benefits of completing this transformation are substantial and may give some organizations a competitive advantage.
Network Automation: Build vs. Buy
Before implementing network automation, decision makers must decide whether to build an automation solution from scratch or buy an integrated automation solution. Learn more about the benefits and challenges DIY automation, integrated automation, and a solution that offers the best of both worlds.
The Smart Guide to Intelligent Automation
The age of digital transformation is here – research shows that 50% of Global 2000 companies will be going through a digital transformation by 2020. Download this eBook to learn how your organization can take the leap into the golden age of automation.
Understanding the Machine Learning in AIOps
Download this white paper by Moogsoft Chief Scientist Dr. Robert Harper to learn the difference between them, and how they related to each other, then dive deeper and explore the differences between supervised and unsupervised machine learning, and how they drive algorithmic logic and decision making.