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Resiliency with Autonomous Operations and AIOps

Digital Transformation Journey towards

Enterprise resiliency via autonomous operations and AIOps
Transformation from people-centric to autonomous operations.

Learn Context

Today, enterprise systems lack a comprehensive and unified view of their IT estate. Absence of this contextual awareness often impacts decision making in all aspects of IT operations. Also, the effectiveness of IT operations inherently relies on intuition and tacit knowledge, making them costly, time consuming, of variable quality, and extremely difficult to scale to today’s volumes.
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The Toolbelt Tasked with Empowering I&O leaders

We are in uncharted territory as individuals, communities and businesses. For most organizations the priorities during this time are pretty simple: community, workforce, customers and navigating this onslaught of exceptional business circumstances. Organizations can effectively operate and thrive in the current scenario – if IT ensures resiliency, stability and availability of services for business continuity.
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An Introduction to AIOps

An enterprise’s business health is governed by the health of its IT. IT organizations of all enterprises have a common objective: drive continuous and significant improvements in the quality, cost, stability, and agility of IT-enabled business functions.Find out why organizations today are struggling to meet this objective, while learning the key pain points and discovering what makes Digitate different.
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CIO Quick Pulse: Accelerate Digital Transformation with Cognitive Automation

As enterprises move toward digital transformation, incoming demands and clashing priorities are shifting focus away from strategic initiatives. Furthermore, unexpected outages redirect attention toward routine firefighting tactics, slowing the pace of IT innovation.
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Intelligent Alerts Management

The problem of receiving too many alerts has been the bane of enterprise IT operations for decades with increasingly complex systems comprising hardware devices, virtual machines, middleware, and applications sending out a flood of alert notifications. So many alerts that the helpdesk/operations teams cannot possibly analyze all of them. A great deal of time is spent in sifting through the noise to uncover legitimate alerts. More importantly, the high alert volume carries the risk of drowning out critical alerts that need urgent attention.
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Intelligent Incident Management

Despite the increasing focus on ensuring agile and robust IT systems, the fact is that IT-related outages exist—and they are expensive. Given the impact on business, it is extremely critical to move IT away from a constant fire-fighting operation into a simpler, faster and proactive entity. But what makes IT reactive and inadequate to avoid or deal with outages in the first place?
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The Role of AI in IT

In our hyper-connected society, IT is key to major facets of businesses. There is little that IT does not touch. This year alone, Fortune 1000 companies are expected to lose over $1.25 billion due to unplanned outages. With outages averaging losses of $750,000 per hour*, The Last Jedi could cost unprepared businesses over $2,000,000 while IT teams are watching the movie.
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