Contextual Automation Within Modern Workplace

Contextual Automation Within Modern Workplace

We live in a world where the concept of a workplace in terms of automation is changing in a short time. To manage this change, the organizations must have a vision. Earlier, people would go to work and spend 8-9 hours hunched at their desks. However, during the pandemic year, we have seen a paradigm switch in the modern workplace.

The advancement in automation has played an essential role in enhancing working practices. For example, while collaboration tools like emails and phone calls are still important, online tools have made it very convenient to share information and collaborate with internal or external stakeholders across time zones.

Automation tools enhance efficiency by removing repetitive tasks. The objective is that the performance issue for end-user will never be a complication if the user has access to the right tools at the right time.

Automation within digital platforms has become a fundamental element of the enterprise as this provides a better user experience. In this remote working pandemic period, AI-enabled self-healing and self-service platforms will prove to be strategic disruptors.

Self-Heal

As the name suggests, Self-Heal is the platform’s intelligence to discover anomalies. The ability to govern with the best action based on rules derived from prior experiences is the key intelligence in self-heal platforms.

Monitoring few activities like log files for errors, hardware latency, or security process incidents, automation can be triggered if something goes wrong and automatically resolves the issue exactly when it occurs. This way, the user’s work goes uninterrupted and the issue is resolved using real-time automation remediation.

Standard Build of a self-heal solution

Self-heal solutions can resolve the anomalies in multiple ways based on the type of incidents. Some characteristics are as follows:

  • All mediums send proactive alerts to connected stakeholders
  • Detect failures based on degrading performance and initiating remedial actions based on pre-defined rules
  • Pattern identification of coordinated events can help take preemptive actions
  • Upcoming actions are based on prognostic intelligence, time to failure, or chances of failure
  • Begin standard maintenance to avoid future degradations

Self-Service

Self-service is a set of solutions that allows web users to access information or even perform some simple tasks independently, without requiring the assistance of an IT help-desk technician.

We can reduce IT costs and avoid multiple service desk incidents by allowing users to resolve issues for themselves. Self-service with a real-time response or on-demand service provides the user with actual end-point control, intuitive UI, and real-time monitoring.

Gartner predicts through 2024, enhancements 
in analytics and automatic remediation 
capabilities will refocus 30% of IT 
operations efforts, from support to continuous engineering.  

Here’s Why Self-Service is so Important

"IT key metrics data show that each year, IT service desks are dealing with increased
numbers of interactions but provided with 
fewer resources, making it difficult to 
keep pace with the requirements of digital business." 

-Gartner, 3 Simple Ways IT Service Desks Should Handle Incidents and Requests 

IT personnel should cut back the time spent performing labored, repetitive tasks for IT to keep up SLAs whereas supporting digital transformation goals. Self-service technology will play a key role in achieving this by reducing the number of routine business requests requiring a reply from IT.

Self-service automation benefits include:

Automation in Modern Workplace: Artificial intelligence

Artificial Intelligence in the modern workplace is well received by employees, as it reduces human labor.

“Gartner Predicts By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements.”

Organizations across industries — from financial services to retail, health care to 
education — are investing in new tools and technologies to produce new,
virtual services. The race is currently on to enhance the client experience 
by making new digital processes that optimize those services. 
Artificial Intelligence and cloud service can provide a 
foundation for rising digital technology organizations 
to maintain a competitive advantage.

 - Gartner's IT Automation Predictions for 2021 

Companies across the world are already embracing artificial intelligence to run day-to-day activities smoothly.When we perform a detailed evaluation of artificial intelligence in the modern workplace, it is ‘augmentation’ that surpasses all the other automation attributes. Augmentation will help employees perform tasks more constructively.

Augmentation in the modern workplace is salvation over the day-to-day tasks, leaving the employees free to work on more intellectual tasks that involve human-to-human correspondence. In addition, Robotic Process Automation (RPA) can be used to monitor workflows and processes, make intelligent suggestions on how the overall tasks can be done more efficiently, and take advantage of the benefit of performing repetitive tasks.

“Gartner predicts by 2024, more than 70% of the large global enterprises will have over 70 concurrent hyper-automation initiatives mandating governance or facing significant instability.”

Organizations are investing in AI and machine learning to modify the
maximum amount as feasibly doable. By automating, organizations can cut
back human error and build processes a lot more economically by removing
human interventions and delays. Overall, automating processes end-to-end
suggests that fewer resources are required to complete the process
successfully, a boon for organizations that require to scale back operative
prices while providing quicker services.

 Gartner’s IT Automation Predictions for 2021 

Machine learning and artificial intelligence (AI) allow new ways of “smart” automation. The software becomes more adaptable as it learns. These technologies open the door for the next level of automation of labored tasks. Automating processes saves time and allows resources to be utilized somewhere else. It means companies can remain smaller and more productive.

To sum it up, automation solutions in the modern workplace will be essential for the next generation of maturity of platforms. In addition, AI will play an important role in platform engineering, taking away the need for service desk engineers to spend time on a scheduled effort to resolve issues and helping the enterprise in crucial dollar savings that can be leveraged to improve digital transformations.

Digital automation is aligned to lessen IT’s workload by giving enterprise teams the tools they need to work faster, smarter, and more efficiently. It appears we are headed towards a future of more automation but, we are just at the doorstep of adopting intelligent automation. We have a long way to go.

Reference:
https://www.gartner.com/en/doc/infrastructure-operations-and-cloud-management
https://www.advsyscon.com/blog/gartner-it-automation/

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