Defining Artificial Intelligence (AI) Artificial Intelligence (AI) is a general computer science term that refers to Hardware or Software...

Most organizations should have mastered by now the first two pillars of data protection – securing data-at-rest and data-in-transit –...

The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than...

Understanding how to build AI models is one thing. Understanding why AI models provide the results they provide is another. Even more so,...

Future technologies are resetting everything as current technologies are being stressed to their limits, and conventional computing is...

Robots and self-driving cars will need completely reengineered networks that have less than one millisecond of lag. For communications...

For many companies, the third quarter of 2020 was characterized as “shifting back to the (new) normal”. While in Q2, companies were busy...

Why use one machine learning algorithm when you could use all of them? Superlearning is a technique for prediction that involves...

Humans have now had a continuous presence in space for 20 years thanks to the International Space Station (ISS), but the facility is...

The Information Technology (IT) industry has become incredibly dynamic and complex and it now draws more curiosity than ever before, from...

Netflix invests heavily in their data infrastructure which is composed of dozens of data platforms, hundreds of data producers and...

What comes to mind when you think of Google Cloud? First Kubernetes and then AI - two technologies that are strongly associated with...

While Robotic Process Automation (RPA) is geared more toward backend automation, conversational AI lends itself to automating...

Banks can meet rising customer expectations by applying AI to offer intelligent propositions and smart servicing that can seamlessly...

It’s easy to see DevOps as something relevant only within IT. But DevOps can be a key aspect of supporting GRC (governance, risk,...

AI-enabled Electronic Health Record (EHR) solutions are solving operational issues and streamlining care coordination in ways that...

Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical...

DevOps and security teams need to leave one-time gating inspections in the past and pursue a more collaborative real-time framework to...

Moving at digital speed and at scale will not be possible without an autonomous network. While IT leaders are applying SD-WAN, secure...

Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it thousands of images of...