Become a self-sustaining digital business


In recent months, industries around the world have experienced seismic changes. Entire workforces are now operating remotely, business continuity is more important than ever, and resilience and innovation are essential to overcome global uncertainty.

These changes have accelerated the transformation of the company. Our constantly evolving networks combine with data, new technologies and human knowledge to change the business world as we know it. As a result, all companies must reinvent their operations to be successful in the competitive marketplace by embracing the idea of ​​technology as a business partner that works with – not instead of – human workers.

Ultimately, technology is shifting from being a catalyst to being a success factor – a requirement as organizations move towards becoming self-sustaining digital enterprises (ADEs).

What is the Autonomous Digital Enterprise?

As the world continues to undergo seismic change, ADE is adopting smart and technological systems across all facets of business in order to thrive in an ever-changing disruptive world.

One of the key principles for becoming an ADE is to apply intelligent automation to data, workflows, applications and systems to enable data-driven business decisions, improve quality, reduce unnecessary manual labor, empower employees and optimize IT resources.

With automation taking time-consuming and labor-intensive tasks everywhere and minimizing human involvement, skilled workers can move into more valuable roles that rely on human intelligence. Companies can therefore optimize value and develop intelligent, unified and technology-driven systems that improve performance, efficiency and innovation.

The transition to ADE status will not be sudden and will require proactive company-wide contribution. To progress, teams must strive to use increased capabilities in automation, artificial intelligence (AI), and machine learning (ML) to ensure that the business continues to operate as the organization shifts. re-invent. Additionally, with AI Driven IT Operations (AIOps), teams can now enhance existing operations to improve uptime, performance and customer experience.

For companies embarking on reinvention, investing in automation and AIOps is a key first step.

Laying of automated foundations

Automation is the foundation of ADEs everywhere, and companies need to embrace automation in customer interactions and internal operations. Not only will this lead to faster execution and better time management, but it will also lower costs, minimize errors, and ultimately lead to a transcendent customer experience.

Here are a number of key factors companies should consider when investing in automation:

  • Hyper-automation enables machines to perform tasks automatically, thanks to AI, improved connectivity and digitization. By automating all business processes, companies can reduce both potential errors and human involvement in menial tasks.
  • Operations Automation aligns application performance management (APM) and traditional IT infrastructure monitoring (ITIM) solutions to create an application and infrastructure performance management (AIPM) solution. This is at the heart of automated processes, as it enables both preventive and reactive remediation capabilities, as well as relying on information to perform self-repair and automatic remediation.
  • 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 in ADE

AIOps capabilities will be particularly useful for IT management teams as they reinvent their position within ADE. Essentially, AIOps integrates AI, ML, and big data analytics to improve IT operations (ITOps) within organizations. It then uses advanced information gleaned from AI / ML to automatically detect problems within IT systems, alert affected teams, and in some cases, resolve issues in real time with the ability to act. Capability means that the AIOps system in place can assess how to react to a failure and take preventative measures to prevent it.

Often, the challenges faced by strained ITOps teams have transcended human capabilities. Corporate data volumes are constantly increasing, while IT systems become more and more complex, especially now that employees are all connecting remotely. These challenges will only increase, and therefore intelligent autonomy is the key to future success.

With the support of AIOps, ITOps teams can ensure increased speed, agility, and efficiency, while refocusing their attention on insightful, revenue-generating tasks, each of which is fundamental to achieving ADE capabilities.

A future based on automation

If ADEs are to succeed in moving IT operations beyond human actions, and instead deploy automation everywhere, existing IT tools must be reinvented. Businesses should aim to understand the need for AIOps across different processes, the current state of these offerings, and how best to harness the potential of automation. By proactively addressing business automation and IAOps gaps, business leaders can reform processes to enable growth, evolution and success.

Over the next five years, businesses will also see business analytics and data come to the fore. By using AI to leverage customer insights, teams can deliver seamless and enhanced experiences while developing valuable use cases across the enterprise.

In an increasingly competitive and uncertain global market, companies should strive both to be resilient and to innovate. Automation will allow operations to continue, as teams work on new, cutting-edge projects to set the company apart. Ultimately, those who embrace the transformation to ADE, embracing new technologies, analytical knowledge and automation, will be the ones who excel.

  • Jon Thomas, Senior Director of Product Management at BMC software.

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