Enterprise Bulletin – 4Q 2020
A Perfect time to invest in automation
A global pandemic, contentious national elections, and constant economic pressure are the current economic realities for American enterprises. This economic phenomenon is reminiscent of conditions expounded by Robert Solow, a Nobel Prize winner for his contributions to economic growth. His concept relates growth in a model economy to productivity, capital accumulation, population growth, and a process for technology to accumulate. In very simplistic terms once economies hit the steady state, the only way they can grow is through increased efficiency. The implication of this is that economies should focus on growing through increasing their innovation and efficiency gains.
What is true of developed economies is true for complex, global enterprises who are seeking both top line and bottom-line growth during difficult economic conditions. Most of these enterprises are embracing automation to help acquire new customers and reduce business operating costs.
Automated technologies and artificial intelligence provide a great deal of potential to re-engineer and improve core business processes for these enterprises and in turn the potential to unlock trillions of dollars in savings. In many cases, these improved processes will operate in a completely different way, fully automated and autonomous, freeing up time previously taken by humans to perform redundant and repetitive activities. But the key to gaining an advantage from automation is turning that free time into time for innovation.
Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) stacks have been gaining significant popularity and researchers & data scientists are finding new ways to improve operational efficiency in IT organizations.
Gartner predicts that smart machines including cognitive computing, artificial intelligence, intelligent automation will enter mainstream adoption by as early as 2021.
According to Ayehu, an IT automation platform powered by AI, the first step to achieving enterprise-wide automation is identifying strengths, weaknesses, and opportunities within your organization.
With the advancements in AI & ML, other operational processes recommended for automation can be automated. These include, but are not limited, to cloud platform management and operations; event management and alerting; incident response and handling; complex communication workflows; backup and restoration, disaster recovery, service fulfillment, data movement, and business processes – such as change management, configuration management, provisioning, routine maintenance, and identity & access management.
Automating operational and business processes will help companies save costs with increased productivity, reliability, availability, and serviceability. Automation provides bandwidth to focus on core business processes leading to improvisation and innovation in the products and services of the businesses.
Identifying target areas for automation and intelligent operations can be rapidly determined through analysis of incident, problem and resulting change ticket actions to understand where current effort is spent managing various degrees of business impact. Organization would be well advised in starting with the shortlisting activities which are high volume and relatively simple as well as activities requiring many different touchpoints and multiparty involvement.
Scicom Infrastructure Services, Inc., a leader in IT Operations Management has partnered with the world’s foremost organizations in the areas of IT automation, observability and incident management. Please contact us to see how we can help you get onboarded with enterprise automation tools and related expertise.