Inside IT Automation: Applying Cognitive to Your Infrastructure

By: Wendy Croxford| - Leave a comment

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Cognitive infrastructure enhances the capabilities of IT automation and empowers businesses to build an automation strategy that maximizes value. Applying cognitive capabilities and automation to your infrastructure allows it to think and run itself, ensures always-on availability and turns performance data into new insights that allow companies to make better strategic decisions.

For enterprises to truly leverage the power of cognitive computing, they must combine it with automation. This strategy allows companies to:

  • Maintain an always-on IT environment. Cognitive computing can predict issues and prevent disasters before they happen. When unexpected incidents do occur, it directs the environment to heal itself.
  • Design superior IT solutions. Because it learns from experience, cognitive computing can offer insights that help C-suite leaders shape business and IT strategy. This capability empowers CIOs to design service offerings that achieve optimal infrastructure.
  • Optimize IT performance. Cognitive computing can continuously identify ways to improve performance and automatically adjust itself. It helps architects identify and implement systemic changes that improve the environment.

Combining Cognitive Delivery and IT Automation

Imagine cognitive as the digital brain that turns data into insight, continuously learning and giving direction to automation. Automation is the muscle that consistently and flawlessly executes tasks on infrastructure. When cognitive infrastructure runs itself, it can dramatically reduce practitioner error, uncover new ways to improve service quality and deliver unmatched, automated flexibility. These capabilities empower companies to focus more on new market innovations and use cognitive advice to rapidly design solutions that turn new ideas into reality.

Information about the systems is constantly fed back into the brain to enable further learning and produce better outcomes. Thus, the systems begin to understand, reason, learn and become self-healing and self-optimizing autonomic systems. Continuous service improvement significantly improves business impact with service automation.

Cognitive delivery and advanced automation improve service quality with consistent and predictable outcomes, reduce human error rates and enhance response and remediation times. They also provide the scalability companies need to meet peak or atypical workloads and enhance security and compliance posture. This increases customer satisfaction and empowers businesses with the confidence to do more, innovate and grow with increased velocity.

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About The Author

Wendy Croxford

GTS TI&A Manager Enterprise Consulting

Wendy has more than 31 years of experience with IBM in the IT industry. She has gained a considerable wealth of knowledge and experience of services, product development, application development, agile development, test life cycle methodologies, project management methodologies and people management. During this time Wendy has spent nineteen years in management roles with five years in up-line management roles, with responsibility for the development and maintenance of products, assets, tools and services, together with all related people management/HR aspects.