I have Googled “Digital Transformation” and I got more than 40,000,000 results … pretty packed. In case it wasn’t already, it makes clear that most companies are still trying to figure out how to best use emerging technologies. IDC envisions that 55% of organizations will be digitally determined by 2020, pushing transformation initiatives and spending up to nearly $6T. In fact, as disruption threatens every market, the so-called digital transformation appears to be unavoidable for any organization.

So, I am sure, you perfectly know about the digital transformation story: it is all about a greater level of business pressure. The pressure that drives technological, and organizational changes. In fact, why are you transforming? Simply because you need to innovate fast and stay ahead of the competition, constantly delight your customers and avoid churn. All that, dealing with speed and volumes that you never reached before. So, there are a few key areas to focus on when tackling digital transformation initiatives, to increase agility in an organization.

Key areas to focus on when tackling digital transformation

The first area is about managing and controlling business processes end-to-end. It didn’t used to be a challenge when all functions were centralized and integrated. But introducing multi-cloud and SaaS into your application infrastructure comes with a new set of challenges as you still need to stay in control of the whole business process execution.

Another area is delivering an innovative digital experience to the market. With constant pressure to transform at scale, DevOps organizations need to create a robust framework of tools and processes to enable continuous delivery. However, coordinating tools and teams is often done manually or through ad-hoc scripting, which causes errors and delays that put business at risk.

The last area can be seen as a consequence of the other two. Managing service delivery is becoming difficult for the operations teams with siloed tools and applications spread across mobile, the cloud and the mainframe. As digital technologies are dramatically increasing volume and velocity, it is now imperative to include AI and machine learning to keep increasingly complex infrastructures and processes under control.

Automation finds its place as an indispensable tool

For improving enterprise agility, automation finds its place as an indispensable tool. And if there was a time when automation was seen as just a tool to cut costs, modern automation technology has the potential to put you a step ahead of the competition. For that, many organizations are putting an Automation Center of Excellence (CoE) in place. As a matter of fact, automation that is developed without proper controls can have hazardous consequences for the business. With a CoE, automation efforts do not belong to individuals, the CoE enables sharing of best practices and thus enhance adoption while increasing speed and ROI. Of course, the CoE is not just a matter of technology. But it is important to understand that automation at scale requires organizations to consider a platform approach for effective centralized governance.

Empowering the Automation CoE

Empowering the Automation CoE is an inherent objective of the new Automic 12.3 release. The new Automic release provides a solid platform powered by AI and machine learning capabilities for driving agility across both digital processes and continuous delivery pipelines. Automic 12.3 helps meeting business expectations by increasing the speed and scale of application deployment while ensuring stability and high-quality customer experience. The new Automic release bridges across silos of automation and provide the single control point for all automation. Automic is the backbone IT organizations need to support their CoE initiatives:

  • Continuous Delivery – you construct easily intelligent pipelines for hybrid and multi-cloud, automate toolchains and testing processes driven by ML and AI
  • Digital Business Automation – you automate complex workloads, integrate business processes across platforms, control flows for big data and analytics, give control back to business users with self-service
  • AIOps – you automate detection and remediation of issues, implement self-healing operations, leverage intelligent insights to improve service levels

By bringing greater intelligence into automated processes and tightening the alignment between teams and tools, Automic 12.3 is more than ever the right platform to empower your Automation CoE initiatives. Ultimately, by overcoming complex environments, bridging islands of automation and preventing from constantly reinventing the wheel, this will bring an unprecedented level of consistency to drive your digital initiatives. Probably this is the best asset for accelerating your transformation, isn’t it?

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