Demystifying Software-Defined Data and Networking: Moving Towards the Future

whitePaper | July 28, 2022

Many businesses have recently evolved to support large remote or hybrid workforces. This initial transition was imagined to be temporary, relying on home networks to provide the connectivity needed for work. Now, two years later, companies are contemplating technology improvements to address a more permanent remote workforce.

whitePaper | October 18, 2022

We first published this index five years ago. The world was different then. Governments were dealing with a landscape defined by benign growth, relative global stability, the optimism of an emergent technology. In 2022, it feels like everything has changed. It looks like we are entering a global recession, war has returned to Europe and AI breaks new ground every week. Just the last month has brought advances in art (Stable Diffusion), chat (ChatGPT) and negotiation (CICERO).

whitePaper | October 18, 2022

The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.

whitePaper | December 23, 2022

The transformative potential of artificial intelligence (AI) is a kind of truism. Seeking to capture the benefits of the “Fourth Industrial Revolution” or “third wave of the digital revolution,” countries are prioritizing efforts to reorganize their public and private sectors, fund research and development (R&D), and establish structures and policies that unleash AI innovation.

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

whitePaper | February 17, 2022

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.