By understanding the power of digital, enterprises need strategies that enable traditional IT to work in harmony with analytic-intense data streams located on-premises, in the cloud and at the edge. There is no doubt that the AI and automation will be crucial in driving hybrid clouds as we move further into 2021. Pressure to move information processing close to the data — due to high data volumes, data variety, and the need to minimize analytic latency — is forcing enterprises into public clouds at a remarkable rate. As the industry undergoes this dramatic transition, hybrid IT operations that span on-premises, data center, cloud and edge become essential.

As we move further into 2021, the need is to leverage AI to monitor, detect and contextualise dynamic behaviour and movement across hybrid cloud environments to verify the legitimacy or lack of a threat in an automated response. Hybrid IT embraces integrated teams that have development, deployment and operational experience and blend business, IT and partner expertise. These teams focus on business outcomes for accelerated performance while driving learning at scale. In a nutshell, hybrid IT takes modern approaches, including DevOps, automation, community sourcing, machine learning and artificial intelligence, and pulls the legacy environment forward to provide more business value.


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Bringing hybrid cloud, AI will accelerate innovation in the modern enterprises.