Automation as the Accelerator

A successful shift to a digital business model requires well planned and orchestrated implementation of existing and new services. Though the threat of disruption due to poor planning or orchestration is particularly strong for organizations that were neither early cloud adopters nor “born-in-the-cloud,” the challenges of integration, testing, training and change management are no less important to address just because time is of the essence. Many organizations lack the expertise and resources to execute complex applications migrations, updates and launches with the speed and consistency that are necessary for a sustainable and scalable digital services model.

Infusing AI-enhanced automation into integration and testing processes will be key to overcome implementation skill gaps and accelerate time to market for new products and services, while reducing undue reliance on experts. Instead of manual integration and testing services, where the quality of results can depend heavily upon access to skilled practitioners, these new integration methods and tools automate many of the more repetitive tasks, while ensuring ongoing consistency and governance across applications.

Figure 2: Intelligent Automation Services Value Chain

Source: IDC, Intelligent Automation Services Chain, #US44127518

According to IDC research, automation is already being employed across many aspects of implementation services, with more than half of organizations surveyed using automation for integration testing, deploying new instances or functions, data migration and data management. According to organizations IDC surveyed, the top reasons for consuming automated implementation services include higher quality, more standardization, more trustworthiness and more agility.

A cloud-based platform that integrates legacy application data with new cloud-native data sources and is infused with automation and microservices is critical in the digital economy. Such a platform enables developers and data scientists/analysts to build and test a variety of use cases quickly while ensuring high data quality and governance. FreedĀ from repetitive integration tasks, IT professionals can participate in more strategic activities that support the business, engaging services partners more for higher value services, such as change management and planning the next step in digital business innovation, rather than technical integration support.