AI has increased the pace of CIOs reaching higher positions in their leadership boards
Enterprise leaders explain that analyzing and understanding the importance of IT through the views of stakeholders is critical in deciding how the IT department may need to update. For a long time, IT was considered to be a cost center.
The main emphasis was on cost and performance. In the past decade, the role of IT role has increased in many enterprises. CIOs prefer to be identified as transformation agents or business strategists in the current scenario, and consider revenue generation as part of their profile responsibilities.
CIOs are required to work smarter and more challenging to maintain or secure the right to be funded in the current digital transformation situation. CIOs can use AI to enhance IT operations and develop better methods for the organization to win and improve the organization’s perception in the capital markets.
The increasing adoption of AI has helped change the efficiency levels of the basic processes. It has blurred organizational perimeters and attached a business driver value to the role of the CIO. Clearly, it has increased the pace at which CIOs can reach higher levels in the leadership teams.
Reinventing the basics of AIOps
Enterprise leaders have moved on from being considered a service provider to a business partner when they get the business objectives aligned to IT capabilities. These include high-quality service with conventional IT Ops domains like help desk, infrastructure, and network.
The traditional strategies cannot keep up with the expansive demands of IoT, big data, and the cloud, hence CIOs need to reinvent basics to ensure that IT Ops is not considered a limiting factor in the digital transformation journey.
The combination of IT operations and AI, also known as AIOps, is the popular solution among prominent CIOs to tackle the above-said issue.
Initial adopters focused on detecting patterns in monitoring data so they could deploy patches to reduce unplanned downtime. More experienced enterprises may implement chatbots or virtual service agents capable of automating main IT service management services like password resets and ticket analysis.
AIOps is useful in saving time for the IT department by automating commoditized processes, reducing mean time for resolution, and restricting unplanned work. Businesses manage to ensure higher productivity by receiving better quality service enhanced and decreased manual reboots, thanks to AI.
The savings from these activities will behave as a self-funding process that extends the influence of IT and brand across the enterprise.
Conducting self-funded pilots and delivering surprising value
When the self-funding strategy is successfully established, consult your IT business partners to initiate a dialogue with business stakeholders. It’s important to understand the key metrics that they plan to target.
AI can help in deconstructing the metric related to basic processes for identifying the main steps.
CIOs should identify steps that can be easily automated. Such steps are traditionally dependent on repetitive manual data entry or need toggling across several applications that consider different information.
Once the automation areas are identified, CIOs need to ask queries to identify opportunities or segments that can make experiences and processes more intelligent. This can also be done by detecting where repeatable patterns occur.
The next step involves creating an inventory for the identified business opportunities and listing based on feasibility and impact. It helps to identify the areas where the management can invest further via the self-funding process.
Create a valid case for a formal AI program
Once the pilots are completed successfully, CIOs can help formalize the AI program. IT department should collaborate with the main beneficiaries of the IT-based business pilots. CIOs are required to create a favorable case for building a dedicated and specialized AI center of excellence.
The success of the pilot will help CIOs demonstrate the business benefits of AI to be delivered across processes, experiences, and products with full-time trained resources.