In 2018, business analyst firm Gartner estimated that the actual business value of artificial intelligence (AI) will reach $4 trillion by 2022. And, by their estimations, the primary source of business value for AI will likely be in customer service applications like virtual agents to improve support interactions; however, many businesses are also already finding success in using artificial intelligence to generate new revenue sources and reduce their overall cost of doing business. As one of the most disruptive modern technologies, it is no surprise that AI is also affecting digital infrastructure and operations.
Data centers and the actual services they provide are constantly expanding and many technical professionals are struggling to scale their business to deal with complex operational problems. In response to this growing problem, the availability of new AI for IT operations platforms (AIOps) continues to grow. With AIOps support, I&O teams can leverage artificial intelligence to enable machine learning that helps solve problems and improve mean time to services (MTTS). In most cases, the applications that AI can be used for continuing to expand daily and new and exciting ways to leverage these systems are being found.
In its current incarnation, AIOps combines machine learning and big data to create statistical pattern detections. For many different I&O providers, this provides a variety of monitoring use cases for forecasting, detecting anomalies in time and series data or determining adaptive thresholds. Although current uses cases are small and contained, AI continues to offer opportunities to compete differently by augmenting and supporting existing processes while also creating compelling customer experiences or enabling faster decision-making to outpace competitors. Artificial intelligence could be the differentiator that puts an I&O organization ahead of another to win business.
While many advancements have already been made in AI, it is not too late for businesses to begin planning to ensure their infrastructure allows for scalability and can support the demands AI creates. Using artificial intelligence for even a single business process often requires the use of multiple systems that span a variety of languages and companies. I&O leaders are in a powerful position to expand the availability of AI by meeting these performance expectations and ensuring that the technology is consistent worldwide whenever it may be used or needed. This is particularly important since the cooling and power demands AI would place on an organization’s self-contained data centers would be extreme.
For both established and emerging leaders in digital infrastructure and operations, it is important to start exploring the variety of uses that AI may be able to provide for your organization. If you find that artificial intelligence could have a positive impact on the services you can provide to customers or meet other internal needs for the organization, it is important to prepare now since the expectations of AI the business has could change rapidly. Constant research on new trends in AI and a completed audit of existing infrastructure can help determine what changes need to be made to accommodate artificial intelligence and begin making a positive impact.