Part 6/11:
AI-based observability and anomaly detection
Natural language interfaces like text-to-SQL queries
Proactive incident management predicting issues before they escalate
Malik illustrates this journey with a compelling story, contrasting traditional support workflows with a future where AI agents detect, resolve, and even preempt issues seamlessly, significantly reducing downtime and SLA breaches.
Deep Dive into AI Agents: Structure and Capabilities
At the core of this transformation are AI agents, which consist of tools (reusable functions), memory, planning, and actions. Malik emphasizes that these agents differ from conventional automation by their ability to make autonomous decisions, understand language, and invoke appropriate functions adaptively.