In a world driven by analytics, understanding the rapidly evolving trends in data is critical to successfully leveraging its employment within the enterprise.
Over the past few years, management has been completely transformed by artificial intelligence (AI) and machine learning (ML) technologies.
With a looming global recession and waning inflation, IT leaders will need to turn their attention to improving their data infrastructures to cut costs and generate more value from data.
As the digitalisation of data in the enterprise accelerates, 2023 is set to be the year of exponential innovation for cloud storage, migration, and other solutions.
Only successfully digitalised businesses will stand out
In 2023, the enterprise will need to innovate itself with investments in new technologies like artificial intelligence (AI), the internet of things (IoT), cloud computing, and more.
As Strategic business and technology advisor Bernard Marr tells Forbes, “these transformational digital technologies do not exist in isolation from each other, and we will see the boundaries between them blurring.”
“This brings us closer than ever to the point where we are able to create “intelligent enterprises” where systems and processes support each other to complete menial and mundane tasks in the most efficient way possible,” he added.
Only companies that digitalise their infrastructures will see success in the new year as manual data management is set to become more costly and inefficient.
Cloud data management tools will manage digital workloads
More than 70% of enterprises have migrated a portion of their workloads to the cloud, and the adaptation of cloud data infrastructures is set to get even higher in 2023 and beyond.
According to estimates by Gartner, 95% of new digital workloads will be deployed on cloud-native platforms by 2025.
As cloud-native technologies are the only data-management solution that constantly evolves to match accelerating demands, they have become the only viable solution for business and IT structures.
But due to their complexity and the persisting skills gaps surrounding IT teams, simpler cloud management tools will need to be implemented for them to be successfully integrated.
Cloud management tools automate key management processes, including monitoring, configurations, provisioning, policy execution, spending analysis, optimisation, and reporting.
In 2023, these tools are set to come more accessible to IT generalists, allowing more staff to run automatic assessments of their data, network, and infrastructure footprint with recommendations on which actions they must take.
Data as a Service (DaaS) to accelerate
This year, DaaS reached a point where it is no longer limited to large enterprises – but also smaller players, who can now enter the sector and generate revenue from it.
2023, it is estimated that the DaaS market will reach 11 billion in revenue by 2023 as its employment in the enterprise continues to grow exponentially in the North American and western Europe regions.
The way companies access DaaS solutions is changing, with IoT DaaS growing three times faster than non-IoT DaaS as more and more companies stream their data.
This will also lead to machine-sourced data growing twice as fast as non-machine data as more companies use IoT apps and services.
Meanwhile, Analytics as a Service is the largest opportunity and also one of the fastest-expanding segments as we enter 2023.
AI-based solutions will meet unstructured data management
As IT leaders change their strategies with threats of a recession looming, in 2023 many will focus on strategic AI/ML technologies with the highest potential for cutting costs.
Automating workflows to curate and deliver data to cloud-native tools will help IT organisations leverage stores of unstructured data while reducing the effort required by analysts and research.
Data workflow automation is also set to become a new requirement for unstructured data management platforms as the importance of adaptive, intelligent automation in the sector increases.
As Kumar Goswami, CEO and co-founder of Komprise writes “intelligence automation helps enterprises avoid the dreaded data swamps, compliance breaches, and outsized data storage costs, and shortens time to value from BI, AI/ML, and cloud services initiatives.”
IT managers will be able to make better decisions when it comes to protecting and leveraging data assets for the enterprise while ensuring data remains secure.
To read more bout AI-wired cloud solutions, visit our dedicated AI in the Enterprise Page.
Real-time analytics to gain traction post-pandemic
During the Covid-19 pandemic, data not only aided in the search for treatments and vaccines but also in managing crowds and maintaining social distancing.
Now we have moved beyond social distancing measures and seen the true potential of this technology, it is expected it will contribute to the development of new strategies in 2023 and beyond.
With new resources like data warehouses, data lakes, and analytics services in the cloud accelerating in popularity, real-time analytics will give companies a new competitive advantage, empowering employees and partners to make them more informed and productive.
