Over the past few months, businesses around the world have undergone significant changes. In particular, they had to set up teleworking for all of their employees, make every effort to ensure business continuity, and demonstrate resilience and innovation to overcome general uncertainty. These changes have greatly accelerated the transformation of companies: their networks, the use of data, as well as the use of new technologies to support the workforce.
Technology is moving from being a catalyst to being a success factor. It has become a necessity, allowing companies to become digitally autonomous (Autonomous Digital Enterprise, ADE).
What is an autonomous digital business?
One of the key principles for becoming digitally self-sufficient is to implement intelligent automation across data, workflows, applications, and systems. This enables data-driven decisions to be made and optimizes IT resources as well as manpower.
This is because automation takes on tedious and labor-intensive tasks, and enables workers to move into more valued roles that rely on human intelligence. Companies are then able to optimize value and develop intelligent, unified and technology-based systems that improve performance, efficiency and innovation.
The transition requires time and the involvement of teams at all levels. These should strive to use increased automation, artificial intelligence (AI) and machine learning (ML) capabilities to ensure business continuity during the transition. In addition, thanks to AI-based IT operations (AIOps), teams can now improve existing operations to increase uptime, performance and customer experience.
Laying the foundations for automation
Automation not only enables faster execution and better time management, but also reduces costs, risks of errors and, ultimately, will lead to a better customer experience.
Some of the key factors companies should consider when investing in automation:
– Hyper-automation Enables machines to perform tasks automatically, using AI, enhanced connectivity and digitization. By automating all business processes, companies can reduce both potential errors and human involvement in menial tasks.
– Automation of operations Aligns application performance management (APM) and traditional IT infrastructure monitoring (ITIM) solutions to create an application and infrastructure performance management (AIPM) solution. This solution is at the heart of automated processes, as it offers both preventive and reactive remediation capabilities, and relies on knowledge to perform self-repair operations.
– Enterprise Service Management (ESM) uses a structured service management framework, with dedicated automated components, to drive operations beyond traditional IT procedures.
The role of AIOps
The capabilities of the AIOps will be particularly useful for IT operations teams to approach the transition. AIOps essentially integrates AI, ML and big data analysis to improve IT operations (ITOps) within organizations.
It then uses the advanced knowledge gained through AI / ML to automatically detect problems within IT systems, alert relevant teams and, in some cases, resolve issues in real time. The AIOps indeed has a capacity for action, that is to say a capacity to evaluate how to react to a failure and to take preventive measures to avoid it.
Often the challenges facing ITOps teams relate to the ever-increasing volume of corporate data, and increasingly complex IT systems – all the more so in times of heavy telecommuting. These challenges will only increase.
Thanks to AIOps, ITOps teams can achieve greater speed, agility and efficiency, while refocusing their attention on value-generating tasks.
A future built on automation
Over the next five years, businesses will also see business analytics and data come to the fore. By using AI to analyze customer data, teams can deliver a better customer experience while improving their bottom line.
In an increasingly competitive and uncertain global market, companies must strive to be both resilient and innovative.
Companies that become digitally self-sufficient, adopting new technologies, analytical vision and automation, will be in the best position to excel.