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.
In many ways, an organization is defined by it’s apps and systems. The ability to quickly deliver new apps or update existing ones may determine who wins and who loses. This puts tremendous pressure on the development resources, and older technologies are often a barrier to the fast development of these critical new apps.
CIOs and IT leaders have always struggled to balance strategic and tactical objectives. What if IT leaders could make routine tactical tasks deliver strategic benefits, such as better operational efficiency, improved security, increased customer retention, expanded market share, and increased revenues? It’s a viable approach—and it comes from a more sophisticated and extensive use of network monitoring and visibility. First, it’s important to understand how the entire IT landscape has changed in the last few years—and how it will continue evolving.
There is a trend in corporate software development where traditional projects - having a start and finish - are being superseded by product management techniques allowing for faster adoption and timely impact on the return on investment. Read how changing from a project to product mindset can get you to market faster and build better experiences for your customers.