The One Common Thread (And Biggest Risk) Running All The Way Through the Top Enterprise IT Trends For 2023
Technology has become an even more essential component of enterprise strategies to stay competitive and frugal during a period of great uncertainty fueled by a slow recovery from the COVID-19 pandemic, a devastating war in Europe, and a looming recession all over the world.
In 2023, Gartner predicts that IT spending is expected to total over $4.5 trillion worldwide despite the threats of a recession looming in major economies. Yet again, this proves that despite the cost, IT is now a strategic growth pillar that no enterprise can ignore in their endeavours to stay ahead in consumer-centric digital markets.
If you look at the IT trends that are poised to influence the differentiation strageies of organizations, the key names at the forefront would be mainstream AI, hyper-scale cloud computing, virtual workspaces, and the API economy. Given the prevailing buzz around them, nearly all business leaders would be familiar with how each of these trends can drive impactful change in their business.
But the real question here is – do they know about the one common thread that runs underneath all these trends that, if ignored, can block them from achieving their full potential?
The entity in focus here is none other than the enterprise IT infrastructure. This is the beating heart that powers the digital aspirations of any business. That, then, suggests that ensuring its availability, optimal performance, reliability, and scalability are of critical importance.
So, the focus must now shift to getting the best out of your IT infrastructure to build a highly efficient and reliable digital ecosystem on top of it.
Let us examine how your IT infra needs to adapt to handle the top enterprise IT trends for 2023:
Over the next few years, the AI market is expected to grow by over $125.3 billion worldwide. The reason is that AI has moved from its initial days of being a supportive or experimental technology within enterprises into a mainstream tool that is consumed by both internal and consumer-facing digital channels. But the underlying fact here is that enterprises need to have a mature and automated IT infrastructure that helps in supplying AI systems with the right data in real-time by linking them to the right business systems when needed.
Manual-intensive traditional approaches to monitoring, managing, and optimizing IT infra will just not be able to deliver the high-precision and continuous availability needed to support powerful AI processing.
Hyper-Scale Cloud Computing
95% of all new digital workloads are expected to be on the cloud by 2026, according to Gartner. However, the problem arises when enterprises bring on board multiple SaaS solutions to deliver a better experience across different facets of the business. At a given time, a business may have its CRM, ERP, Finance, HR, Operations, and other departments leveraging multiple cloud systems simultaneously.
From an IT infrastructure perspective, this can descend into absolute chaos when manually engineered, configured, and optimized. It becomes impossible to serve applications to an extent where they can deliver their best performance. Let’s also not forget the costs associated. Businesses are spending atleast three to five times more than they expected to accommodate the increased cloud workloads.
Ever since the pandemic, remote working has become the default work option as both companies and employees find it to be a highly beneficial arrangement. However, empowering employees to work from anywhere requires the underlying IT infrastructure to seamlessly scale and securely handle digital workspaces. These workspaces would be constantly accessed by employees from a plethora of devices and networks.
Ensuring that work applications and digital resources are constantly available on demand would require the IT infrastructure to be top-notch. It needs to ooze resilience, be uber-scalable, and exhibit high levels of reliability at all times.
The benefit of modern digital solutions is that enterprises do not have to code and build every operational digital service on their own from scratch. They can easily leverage the necessary service from different SaaS providers or build a common list of features on the cloud that multiple applications can leverage on demand. This is made possible by APIs which function as the control tower as well as the digital highway.
However, architecting APIs to perform at their best would require deeper incorporation of best practices and approaches like containerization and microservices, systems like Kubernetes, etc. Ultimately, several moving parts in the IT infrastructure will support API operations, and managing them would cause problems.
AIOps to the Rescue
You can see that all of these major enterprise IT trends require a common agent to perform at its best – an optimized IT infrastructure that powers the fundamental digital pillars of the organization. Following traditional approaches to handling such a large ecosystem of devices, applications, data sources, and interfaces would be nearly impossible, resulting in excessive performance drops for the overall digital experience of the business.
This is where AIOps-driven automation of operations can help drive a huge change by ensuring that the underlying digital infrastructure automatically optimizes itself to suit the environmental needs of modern IT solutions. From enabling seamless availability and scalability to helping build a conducive environment that allows applications to run at it their most optimal capacity, automating operations can play a significantly high strategic role in the overall business picture.
In summation, the infrastructure problems an enterprise faces are likely to spiral out of control very soon as adoption of modern technology surges. Soon enough, the task will take on a magnitude that is too huge for simple operational automation to handle. A powerful AIOps solution is needed which leverages artificial intelligence to intelligently maximize the productivity of IT infrastructure and empower application performance optimization and reliability.
appNeura offers the perfect companion for modern enterprises to implement AIOps. appNeura SNIPER is a powerful solution that helps automate IT operations across IT stacks and heterogeneous environments. This AIOps Incident Management Platform ensures that a business’s digital investments produce the best ROI. Get in touch with us to know more.