Posted by As the year 2021 nears an end, ManageEngine has come up with the top five IT management predictions that are likely to shape up the year 2022. The top five predictions in the IT management space are contextual analytics, cybersecurity mesh, hybrid workforce, AIOps and IT automation and zero-touch service management.
Following the pandemic, hybrid work will be an expectation if not the norm at most organisations across the world, according to Rajesh Ganesan, VP – Products, ManageEngine.
“That means cybersecurity, AI, automation, and analytics will play increasingly significant roles in organisational efforts to support this way of working,” said Ganesan.
Here are ManageEngine’s top five IT management predictions for 2022.
1. Organisational insights will become immediately actionable with the rise of contextual analytics
When insights are presented directly within a business application. The chances of an organisation acting upon them are much higher compared to when presented in standalone business intelligence software.
For example, when insights on project efficiency are available within project management software, it’s easier for project managers to relate the findings to their daily work and implement measures to fix inefficiencies.
The way AI models are trained and deployed is expected to change significantly in 2022. With more sustainable techniques like meta-learning, transfer learning, and causal AI expected to complement deep learning, AI and ML will eventually become full-fledged, embedded elements of contextual analytics workflows.
2. The cybersecurity mesh model will offer better protection in the hybrid workforce era
As employees continue to access organisational resources from different locations, traditional network-based security is becoming obsolete. The security landscape has evolved in part due to the accelerated shift to the cloud and usage of unvetted personal devices, resulting in many organisations becoming highly susceptible to cyber threats and insider attacks.
In this scenario, a cybersecurity mesh model, with its central principle of Zero Trust, will gain more traction. The cybersecurity mesh model is a distributed approach. Here smaller, individual security perimeters are built around people or objects acting as access points. Thereby offering IT teams better security control.
3. IT operating models will continue to evolve to support the hybrid workforce
Organisations had to stumble their way through implementing their business continuity plans in response to the first lockdown. But with employees preferring hybrid work long term, further changes will have to be made in operating models to ensure hybrid work is streamlined and sustainable.
Despite self-service portals, the productivity of remote employees is still disrupted when an incident occurs. In the era of hybrid work, aspects like zero-touch service management that can handle machine-solvable incidents, digital experience monitoring to ensure high availability and constant improvements to end-users, and increased adoption of desktop as a service and VDIs will be more important than ever.
4. AIOps and IT automation will be critical building blocks of enterprise technology architectures
The increasing pervasiveness of AI, backed by the operational improvements of IT leads means AI will continue to further cement itself as a cornerstone in the technology architecture of organisations.
IT leaders will depend more on AIOps and intelligent automation to detect issues using algorithms and resolve them automatically before they disrupt productivity or network operations. AIOps-driven monitoring will play a significant role in forecasting, capacity planning, combating alert fatigue, and maintaining the security posture of an organisation.
5. The cybersecurity skill crunch might force organizations to turn to service providers
There is likely to be an imbalance in the supply and demand of skilled employees in the cybersecurity space. To address their evolving needs, organisations will increasingly use the services of MSSPs and managed detection and response providers.
For instance, the increase in remote employees, cloud adoption, and the need to meet compliance regulations make IAM a tedious process for most organizations. Since many organisations lack the necessary skills and resources to implement an IAM solution, more organisations will turn to identity-as-a-service providers to fill this role.