Whether or not you agree with Elon Musk’s view that we ought to tread carefully with AI to avoid unwittingly facilitating a precursor to Skynet, it’s impossible to ignore the impact of AI and ML.
While the media hype may be focused on a future populated with self-driving cars our new paper (https://ecs.co.uk/services/enterprise-cloud-adoption/service-integration-and-management/transform-it-operations/) tackles a far more prosaic yet urgent problem facing enterprises: how to use AI and ML to drive efficiencies in the increasing complex world of IT operations and service delivery.
Our new paper is a must read for anyone keen to replace today’s reactive, manual, resource-heavy activities focused around event management with the new generation of AI-led IT operations (or AIOps) – automated, self-healing systems powered by AI and ML.
According to a podcast on EM360, only 30% of IT budgets are typically allocated to innovation with 70% still being spent on fixing systems or applications. To turn these numbers on their head and free up budget for innovation, organisations need to be able to predict and respond before things happen, because reacting after is far more expensive and time consuming.
ML can use historical data to identify and model the leading component-level event indicators that cause critical outages or degraded services. Aggregating this allows us to effectively create the brains of an automated, self-healing system that can ultimately predict and avoid such faults.
Operations with benefits
Don’t just take our word for it. Organisations have reported some amazing results:
- An ECS customer – one of the UK’s largest banks – benefited from ML and reduced call volumes by 80%, dramatically cutting costs
- A top tier web-scale company with hundreds of millions of active users detected incidents more than 24 hours before corresponding tickets were created
- A Fortune 100 manufacturer slashed its raw events from a huge 115 million to just 250 actionable situations/incidents a day.
If this has whetted your appetite for AI and ML in IT operations please download our paper (https://ecs.co.uk/services/enterprise-cloud-adoption/service-integration-and-management/transform-it-operations/).