Introduction
The proliferation of artificial intelligence (AI) tools enabling data-backed decision-making and recommendation encourages teams to work more efficiently, increase productivity, and quickly adapt to new situations and challenges. As data scientists and engineers better design the automation of analyzing and resolving complex cases or events, the requirement for human intervention in repetitive day-to-day operations is becoming less necessary.
Due to the unprecedented digitization, many teams fear that this is the beginning of the end – raising concerns about potentially eliminating human jobs – where AI machines will take over workspaces and eventually replace team members. In reality, AI aims to help the teams in their daily tasks, intelligently processing vast amounts of data at optimum speed, simplifying the complexity that comes with the inevitable digital transformation. Modern-day companies are incorporating so much big data that AI is quickly becoming a necessary component to interpret that data and ensure that vital workers do not spend their days lost in the noise of big data alerts.
As AI keeps expanding across different industries and introducing itself in many departments, leaders will need specialists that can understand and manage multiple silos to work together with systems.
The bottom line is that with AI, technology will actively enhance, optimize team collaboration, and create multiple new jobs, just that these roles will involve a whole new set of skills.
A more hands-off approach in daily tasks
A hands-off approach translates to less time-consuming day-to-day tasks. AI tools allow orchestration in place for different processes, allowing departments to automate events in real-time.
What this means for the future of AIOps is that root cause analysis will be greatly simplified and event-driven automation will begin to automate recurring tasks, leading to huge time savings for I&O teams. This new focus on an autonomous infrastructure provides IT teams with an overview of the health of their domains along with specific alert events and how to solve them, leveraging automation.
Utilizing these developing technologies to automate daily mundane tasks, IT Teams will be able to specialize in more business value functions and reduce workload and long hours or outside schedules. To remain competitive in their respective markets and industries, leaders will have the time and resources to further their careers and work on advanced and high business-level processes.
AI’s dependency on data
One of the primary differences between AI and humans is that AI solely depends on the data IT teams feed the systems. IT’s original commands will dictate how machines achieve certain goals, reach a certain speed, and optimize resources.
Computers lack improvisational logic, such as quick adaptation to changes, which they must make up for with massive computational power and speed. The main advantage machines bring to IT teams is the ability to rapidly and efficiently recognize patterns from the algorithms fed by computer scientists and draw accurate and intelligent conclusions to automate processes.
As you can see, machines are an aid at the end of the day, much like a teammate, as opposed to a replacement for several roles.
The future of Intelligent Automation
So what does the increasing adaptation of AI in IT teams mean for the future of new roles and talent acquisition? There’s a need for re-engineering of business processes and training to develop new skills for employees adopting AI in their daily tasks. This means that team leaders should learn to delegate tasks to technology-based solutions, fully trusting the AI-enhanced processes.
Company roles are now redesigned to cater to these reimagined business processes, and corporations will work with the talent that has a specific set of skills instead of rigid job titles. Businesses that leverage both human and artificial intelligence are destined to reach higher operational levels and agility. As businesses embark on the path toward becoming an autonomous infrastructure, the businesses will begin to utilize their IT infrastructure as a salient feature, differentiating themselves from competitors.
Takeaway
Tomorrow’s business leaders, embracing collaborative intelligence, are one step closer to conquering the complexity of digital transformation and achieving their digital aspirations. To learn more about the different tools to help make your company’s processes as seamless as possible, read more about Orchestral and our solutions.