As organizations in all sectors have rapidly emptied their offices and sent their employees home to comply with ever more expansive shelter-in-place and quarantine mandates, replicating the full breadth of services remotely has been IT’s singular priority.
As global enterprises grow, they must also transform their IT operations. That’s because two of the major drivers for growth require enterprise data centers to migrate their on-premises delivery and deployment platforms to a hybrid public/private cloud model and evolve from a reactive operational model to a proactive and, eventually, autonomous approach.
A digitized data center future begins with dimming the lights. That means less people on-site, thanks to connected critical infrastructure, data center expertise, and powerful analytics. One day, robots, sensors, and self-healing systems may enable a total lights-out environment. Until then, humans will use innovative technology to reduce risk and improve efficiency in all areas.
AIOps is described by Gartner as having two main components at its heart — big data and machine learning — which are supported by monitoring, service desk, and automation capabilities to give continuous insight into hybrid IT infrastructure.
What do we ask of a site when we are faced with designing something that has never before been designed and that has no precedent? What would CSI's Gil Grissom do?
Forward-thinking leaders in the state of Utah successfully embraced digital transformation to deliver services faster and more cost-effectively in addition to saving taxpayers $15 million.
A multi-level framework for achieving advanced machine data intelligence at scale
April 6, 2020
Every aspect of our lives and our world is becoming rapidly digitized and computerized. We’ve deployed machines to do things for us but what can they now tell us as a result? As it turns out, quite a lot.