Your AI agents are generating data you can’t afford to monitor (www.techradar.com)

Enterprise IT is facing a significant challenge with the rise of agentic AI, as many organizations are unprepared for the vast amounts of telemetry data these AI systems are generating. Recent research by Omdia reveals that over half of surveyed enterprises experienced a more than threefold increase in telemetry data within the last year, with projections estimating a staggering 9.5x growth due to agentic AI workloads in the next two years. Alarmingly, two-thirds of organizations feel ill-equipped to handle this surge, leading to potential delays or cancellations of crucial AI deployments, particularly in areas like cybersecurity and fraud detection. The implications for the AI/ML community are profound, as the traditional observability infrastructure is failing to keep pace with data growth. 69% of organizations reported that observability costs now overshadow their compute expenses, with many having to pause critical AI projects due to unsustainable monitoring costs. To address this, industry leaders are recognizing the need for intelligent telemetry pipelines that efficiently manage and filter data before it reaches costly observability platforms. As enterprises increasingly look to adopt such solutions, those who act swiftly will be better positioned to scale their AI initiatives without being burdened by rising costs and operational inefficiencies. This shift underscores a pivotal moment for businesses to rethink their data handling strategies in order to leverage the full potential of AI technologies.