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Thank you to those that joined us for the Unlocking the Power of Continuous Monitoring with AI Integration session we held with Luca Garagnani from InWave!
A big thank you to today’s presenter Luca, for starting the discussion and providing useful perspectives and inspiration for our own AI integration journeys. And to our attendees, we appreciate you taking the time to be part of this session and contributing to the discussion. It was fantastic to see so much interest in how AI can be practically applied within existing monitoring environments.
During the session, we explored how organisations can enhance traditional monitoring systems by integrating custom AI models. Rather than replacing existing infrastructure, AI can be embedded to elevate system intelligence and responsiveness while improving detection accuracy.
Key takeaways from the session included:
- How custom AI models can strengthen monitoring capabilities by improving prediction and reducing false alarms
- The full integration journey: from scoping and designing a model through to deployment and optimisation
- Practical approaches for handling real-time data and tuning models for performance
- Real-world examples demonstrating how AI can create smarter, more proactive monitoring workflows without disrupting current systems
The session highlighted that successful AI adoption does not always require rebuilding systems from scratch; meaningful improvements can be achieved by thoughtfully layering AI into existing environments.