October 18, 2019 - 566 views|
By adding AI-powered IT automation across the enterprise, organizations can realize not only operational efficiency but also unprecedented business change.
Artificial intelligence (AI) offers an unprecedented opportunity to reconstruct business models and re-engineer business processes. By adding AI-powered automation to their strategic mix – across the front, middle and back office – IT organizations can simultaneously deliver superior user experiences, increased efficiency, optimized cost and improved agility.
The full potential of AI and automation can only be achieved by integrating these technologies into the workstream, with the goal of enabling enterprise-wide business improvement. To quantify progress, tangible and measurable business outcomes need to be defined. For example, an insurance company embarking on an intelligent automation initiative could measure the percent reduction in cost per claim; a retailer could measure percent improvement in on-time shipping, etc.
Focus on Business Change
In addition to operational efficiency, enterprises should prioritize how AI and automation can facilitate business change. We worked with a large U.S.-based agricultural company that had incurred penalties due to failed transactions caused by software application issues. We supported this critical application with Cognizant HiveCenterTM, our AI-enabled intelligent automation platform. By focusing on the outcome (eliminating the penality rather than application uptime), we helped the business realize dramatic cost savings.
Intelligent automation is applicable across IT operational processes in enterprise application support, cloud, infrastructure and security. For a retailer with stores across North America, whenever store application performance is slow, AI-based automation kicks in as the first line of diagnosis across server, network, database and application stacks. Automation is also prevalent in digital engineering when applications are developed with cloud-native technologies across the design, test and release cycle.
Moving From Thought to Action
To accelerate automation-led initiatives, enterprises should look to partners that invest in advanced capabilities, including integrated AI/ML-powered platforms. Such platforms accelerate automation programs with minimal impact on existing processes.