The future of AI continues to evolve. Generative AI is wildly successful but is limited by its training models and data analysis. It analyzes patterns and creates new information in a way that simulates human behavior. GenAI doesn’t understand what it creates; rather it reacts to input to develop a probable outcome.
However, as IT infrastructure becomes increasingly complex, saturated with data, and vulnerable to attack, technology that can proactively manage and automate systems and actions will have an even greater impact. Agentic AI has the ability to do this. Acting as an extension of the IT department itself, agentic AI can improve data management and free IT directors from operating reactively and quelling fires.
The Shift to Autonomous Decision-making
Agentic AI can transform data management. Agentic AI can autonomously categorize, tag, and organize data in real time, ensuring consistency and expediting retrieval. It can identify and encrypt personally identifiable information (PII) and other sensitive information to ensure compliance and reduce risk to the business.
It can monitor storage use, predict and prepare for changing capacity demands, adjust workloads, and allocate resources on the fly. The ability to optimize and tier data storage without human input can save companies time and money and improve network response times for humans, workflows, and devices.
This capability is particularly important for data governance and compliance. Agentic AI can create and enforce retention policies, identify potential compliance risks, and maintain appropriate security, encryption, and protection practices. This will be enormously beneficial for the healthcare and financial services sectors.
In addition, agentic AI can enhance security, identifying and mitigating ransomware and other cybersecurity threats in real time. Agentic AI can independently isolate data volumes or systems and create immutable snapshots to prevent or reduce the impact of a security breach.
The Next Iteration of AI: Opening the Door to Ideate and Create
Agentic AI will build on AI’s current capabilities. Predictive maintenance processes can be automated and scheduled, and system or part failures can be identified before a full-scale shutdown. But agentic AI also can autonomously order replacement parts and schedule necessary maintenance, so humans won’t have to.
That’s one of the key benefits of agentic AI. It affords IT staff the time to collaborate with other teams to create value and develop technology solutions to further business goals. IT departments are plagued by mundane operational tasks and unexpected problems, which sap their time. Agentic AI will free staff from many of these constraints, allowing them to focus on innovation, ideation, and profit generation.
Learn more about agentic AI from Jason Hardy, VP & CTO for AI at Hitachi Vantara, in his recent article, 5 Major Ways Agentic AI Will Change IT & Data Management.