Organizations are rapidly adopting AI to enhance productivity and gain competitive advantages, investing $252.3 billion in 2024. While there are notable financial benefits, cost savings and revenue increases remain below 10% and 5%, respectively. To transform AI from potential to real-world application, companies must focus on developing resilient, efficient AI-enabled systems throughout the software development lifecycle (SDLC). Key use cases include incident remediation, predictive monitoring, and automated responses, effectively improving mean time to detect (MTTD) and mean time to resolution (MTTR). The successful integration of AI in IT operations can yield quick ROI and encourage broader enterprise adoption. Establishing a robust framework for agentic AI initiatives is crucial, addressing IT operations, cybersecurity, and data-driven recommendations. Proving AI’s value in IT can win over skeptics and promote organizational trust. Starting with small, manageable projects allows organizations to scale responsibly, leveraging solutions like IBM’s Observability and Automation to simplify complexity and enhance resilience.
Source link
