False Positives Are Complicating Cybersecurity. AIOps Can Cut Through The Noise
Journey to Autonomous Operations
Traditional Operations
- Total human dependency to
- perform tasks
- Prone to risk of human errors
- Output depends on human
- judgment and tacit knowledge
- Lacks consistency
- Less efficient
Automated Operations
Machine operated tasks with limitedhuman input
- Mimics human actions
- Suitable for environments with similar
tasks to be performed - Actions taken based on pre-defined
heuristics - Functions only within a defined set of
parameters - Improved consistency and less prone
to errors - Improved efficiency and resilience
Autonomous Operations
- Autonomous Enterprise Operations
includes IT and Business operations - Learns and adapts to changing
environments, workloads, technologies
and policies - Mimics human thinking
- Has the ability to reason and take actions
thus providing a closed loop system - Capable of more reliable and
sophisticated decision-making - Leverages AI/ML to understand
behavioral patterns and
recommend actions - Continuous Learning
Intelligent and consistent
Delivering
Autonomous Operations
Don’t get left behind.
Why enterprises consider Autonomous Operations?
Autonomous Operations, powered by AI and Machine Learning helps eliminate the challenges; such as: Sluggish Operations due to the increase in scale and complexity of operations, Silos between IT and business, Lack of context-awareness within domains and across domains, Heavy reliance on human tacit knowledge and operational risks of human error and time spent on the repetitive leaving little time left for innovation.
Gain the benefits of:
- Improved efficiency and productivity
- Improved agility and resiliency
- Improved business assurance and continuity
In today’s constantly evolving business environment, businesses need to adapt to the changes, evolve and unleash innovation to sustain and grow. Autonomous enterprise operations is a key vehicle towards that goal.
Interested in what the analysts are saying about AI-driven automation?
Download these insights from industry leaders to learn how organizations are leveraging automation to achieve their digital transformation goals.
Delivering faultless IT operations with complete, closed-loop automation
Imagine your key applications or microservices go down on a critical business day. Could your organization survive? In the world of IT operations and service management, identifying potential issues is not enough—organizations now must resolve issues seamlessly before they even become a business risk.
Digitate ignio AIOps provides full-stack observability* combined with a closed-loop automation for IT incident management by identifying file patterns, raising problem events, and using auto-remediation to solve them. With this dynamic combination, organizations can achieve their ultimate business goals with reduced costs, enhanced efficiency and productivity, and improved customer experience.
*Full-stack observability is defined by the MELT capabilities – Metrics, Events, Logs, and Traces.
How do Autonomous Operations function?
Every Autonomous product/solution in the marketplace functions around these
three principles or its derivative based on its design and desired value output.
Understand the IT and Business environment that influences its operations
Analyzing the IT and Business landscape data to determine actionable insights
Reactive and Proactive Actions for Closed Loop autonomous operations
Reactive Actions to respond to issues once they have happened and Proactive Actions to mine historical data, identify data patterns and proactively detect, analyze and remediate issues even before they occur.
Save time and money with Digitate
In a study, Forrester concluded that Digitate ignio had the following payback period and three-year financial impact for a typical company size of 5,000 employees.
Summary of benefits
$6.1M
Improved uptime and performance
$2.2M
Revenue
assurance
$1.4M
Reduced
IT costs
$0.46M
Improved security and compliance