Guavus Blog

There is a reason airlines don’t make their own airplanes. It’s not their key value prop. Dive into the top reasons that the same logic holds true when digitizing your business…

Service providers are in the middle of the greatest transformation of our time: mergers, increased OTT competition, insatiable bandwidth demands, and subscriber growth stalling. Knowing precisely where and when to spend money is more critical than ever.

Build or buy?  This is a question that many IT departments within large organizations find themselves faced with time and time again. They have the know-how to build big data analytics solutions, but does it make business sense?

Address the new requirements and challenges of NFV Management and Orchestration (MANO) through AI-powered analytics, enabling end-to-end orchestration of hybrid networks that comprise both SDN/NFV-based components and traditional network technologies.

Virtualization accelerates the deployment of new services and removes the constraints of hardware-based appliances; however, these benefits comes with their own set of limitations. Operations Analytics overcomes these limitations to ensure successful deployments.

Small changes can lead to big results. Successful large enterprises in every industry are learning that they, too, need to be innovative in order to survive and succeed. See how Minimum Viable Improvements drive innovation.

Dear Santa, With 1.9 billion children in the world, keeping track of who is naughty or nice must be an extremely daunting task, even for a person with magical powers such as yourself. But no fear, we’ve got a solution for you!

With ever increasing deployments of SDN and NFV, service providers will find analytics even more critical to operating their businesses efficiently and effectively. Here’s how cable operators can apply AI to virtualized networks.

Advanced operations analytics help operators assure virtualized networks and services by driving automated, real-time systems that learn from data and autonomously adapt to new information.

Mobile Operators are looking for simplified, cost-efficient operational models.  Advanced analytics solutions utilizing machine intelligence and AI enable intelligent automation and simultaneously improve system availability.

Mobile Operators are looking for cost-efficient operational models.  Automation of existing static rules-based processes is not sufficient. Advanced architectures must be augmented with Closed Loop Control to enable transformed operations.

There is much confusion in the marketplace regarding what AI really means and how it can help us.  This week we tackle the difference between machine learning and AI and see how both can be applied to solve critical problems.

Supervised learning, unsupervised learning and reinforcement learning are 3 main categories of algorithms that can be used to model your data. Each of these has distinct advantages in different situations.

Artificial intelligence (AI), machine learning (ML) and data mining have been hot topics in today’s industry news with many companies and universities.