AIOps

AIOps Strategy: Investing in AIOps

AIOps is an long-term stategy for increasing performance, predicting outages, automating mundane tasks, making reporting actionable, and improving risk management.

With Windward as your partner, you can turn your AIOps vision into reality by using a strategic investment plan to guide your way through the AIOPs Maturity Model.

Windward has over 20 years of proven experience across IT service management and IT operations management for hundreds of global clients and we are ready to take you to the next level.

Digital transformation and movement to DevOps and cloud have decentralized IT Operations
This shift has driven the need to improve efficiency and enable frictionless operations that can scale to meet the demands of business. AIOps, or Artificial Intelligence for IT Operations, is a multi-tiered technology approach utilizing Big Data Analytics, Machine Learning, and Automation to simplify the way IT Operations teams support and manage modern IT environments to meet these needs.

With every operations management vendor claiming AIOps support, the path to achieving business value and transformation in this multi-tiered reality can be challenging. From over investment into one technology to not aligning the AIOps journey to specific and obtainable use cases, poor planning will stall an organization’s journey to realized value. Windward’s AIOPs Investment Plan will set the stage to obtain that value in measurable steps.

Your AIOps Investment Plan should increase performance, predict outages, automate mundane tasks, make reporting actionable, and improve risk management. Organizations already using AI are performing an average of 11.5% better. [1] The IT industry is buzzing about the role artificial intelligence will play in our future, but as much as there is buzz, the conversation is also wrought with confusion.

According to recent EMA Radar Report statistics, uses for Machine Learning are increasing rapidly

• 1/3 of IT leaders are planning to use ML for business analytics.
• 25% of IT leaders plan to use ML for security purposes.
• 16% of IT leaders want to use ML in sales and marketing.

The EMA Radar Report also lists the top 3 use cases of Machine Learning and AIOps.

• Incident, performance, and availability management.
• Change impact and capacity optimization.
• Business impact and IT-to-business alignment.

AIOps is artificial intelligence for IT Operations
This movement to AI has been coined ‘AIOps’ by Gartner and it refers to the use of artificial intelligence for IT Operations. However, research from Statista shows that machine learning is driving the majority of today’s investments.

Top uses for Machine Learning
Machine learning is playing a large role in risk management, performance analysis, reporting, trading, and automation. But wait, what does automation mean? That feels like a big bucket! Automation refers to the automation of mundane tasks that require human intervention. This includes the use of virtual assistants and chat bots. But it also includes the use of pattern recognition algorithms and distilling alerts into actionable intelligence.

AIOps Requires a Thoughtful Investment Strategy Combined with an Executable Plan

At Windward we believe AIOps is a strategy, not a tool, not an algorithm. This requires deep thinking and understanding of the role that machine learning can play in your organization, a prioritization of initiatives that add early business value, focused investment over time, and an emphasis on hiring talent with machine learning skills. Every great strategy requires a plan so teams know what to execute when. Machine learning can turn into “shiny objects syndrome” if there is no plan in place.

Are you ready to get started mapping out your AIOps Investment Plan?

Please click here to set a call with Doug Reece

Doug Reece | Client Executive
WINDWARD CONSULTING | Strategic thinking. Real-world results.™