AI for organisations will next focus on what can be done autonomously, independently, and without human intervention, according to Gil Pekelman of IT management software provider Atera.
Atera’s founder and chief executive was commenting for software focused website The New Stack (TNS). In the post, Pekelman said generative AI was just the beginning for businesses and IT admins in particular.
“Now, with autonomous AI, you can use an AI agent to install updates based on predefined criteria automatically instead of manually installing them one by one,” he wrote.
Despite pressure to deliver instant solutions, IT teams are bogged down by repetitive tasks.
Embracing autonomous AI can improve efficiency and accuracy. Potential exists from predictive maintenance to resource optimisation, according to Pekelman.
“In contrast, generative AI systems focus on content creation based on existing data. What sets autonomous AI apart is its ability to self-manage,” he wrote.
Most organisations aren’t yet adopting emerging autonomous AI solutions for IT management, Pekelman explained.
“We surveyed over 7,000 Atera users. In 2023, IT specialists reported using AI for data analysis and reporting (18%) and optimising support or ticketing (30%).”
In the survey, 31% of respondents said technicians expect to use AI for automated issue diagnostics and resolution in 2025.
Warnings and challenges of autonomous agents
At the same time, Pekelman warned that autonomous AI models – AI agents – must be programmed to flag any need for human intervention or encounter issues beyond their capabilities.
Parameters must be set that restrict access where needed, and limit actions to predefined tasks.
“Autonomous AI must escalate such incidents and generate a ticket for a human agent to review,” Pekelman added, noting that quality data, “robust” monitoring and alerts systems are needed.
“There are concerns about integrating autonomous AI with legacy systems and regulatory and legal compliance.”
Additionally, even genAI won’t work well unless you nail four fundamentals. Organisations deploying genAI need a clear, specific roadmap, clean data, robust governance and a culture ready to embrace change, according to a TNS post by Henry Bassey.
“Inefficiencies, unpredictable outputs and costly experiments will fail to deliver results for most organisations,” Bassey wrote.
Autonomous AI for IT management optimisation
Website AI TechPark interviewed Atera’s Gil Pekelman in January about their push into AI.
“We integrated [AI] into our platform, automating routine tasks and optimising IT operations, revolutionising how IT teams work and providing them with the AI-powered tools they need,” Pekelman said.
Consequently, AI has opened the door to automating IT operations in a way that addressed IT admin tasks securely and with control, he wrote.
Atera bills its solution as an all-in-one AI-powered IT management solution to manage, patch, and secure endpoints. The platform offers remote monitoring and management (RMM), remote access, helpdesk and ticketing, network discovery and patch management.
( Photo by Aidin Geranrekab on Unsplash )
