Building OT Resilience: Artificial Intelligence for OT

As manufacturers navigate rising costs, supply chain disruption and ambitious climate targets, resilience has become a core requirement for long-term competitiveness. Building operational resilience means leveraging real-time data, automation and AI to maintain agility and performance under pressure. Splunk's digital resilience approach unifies IT and OT data into a single platform, enabling predictive insights, intelligent alerting and scalable automation. By focusing on critical metrics such as downtime, mean time to resolution and process efficiency, organisations can transition from reactive problem-solving to proactive risk mitigation and continuous improvement.

Across the industry, manufacturers are already realising the value of this approach. Bosch Rexroth reduced energy costs by up to 30% and emissions by 25% using Splunk-powered insights and machine learning. Zeppelin enhanced market awareness and pricing accuracy through external LLM integration, while Audi partnered with Cisco to implement virtual PLCs and AI-ready networks for real-time production control. From root cause analysis and anomaly detection to predictive maintenance and carbon optimisation, Splunk enables smart, data-driven decision-making at every level of the manufacturing process - laying the foundation for sustainable, next-generation industrial operations.