Track your data over time with data analytics and AI
Unexpected anomalies in your data can pose serious risks to your business, from faults in manufacturing to cybersecurity threats. The ability to detect and respond to unusual patterns is vital for maintaining quality assurance, mitigating risks, and ensuring operational efficiency. Our Detect Anomalies in Your Data with ML service, delivered by the Insight SFI Research Centre for Data Analytics, empowers organisations to identify and address anomalies using cutting-edge machine learning (ML) and data analytics. Tailored to your unique business needs, this service provides expert guidance to design a robust anomaly detection strategy that protects your operations and enhances decision-making.
What to Expect
This service offers a structured approach to building an effective anomaly detection system:
2-Hour One-on-One Discussion Session
Collaborate with an expert to explore your business needs, data availability, infrastructure, and workflows.
Identify specific risks or rare events relevant to your organisation.
2-Hour Design Proposal Session
Develop a blueprint for detecting anomalies tailored specifically to your business requirements.
Gain insights into the tools and methodologies best suited for your anomaly detection goals.
Documented Roadmap
- Receive a detailed plan outlining the implementation of an anomaly detection system customised for your organisation’s data and objectives.
Protect your business from unexpected disruptions and enhance quality assurance with a tailored anomaly detection strategy. Book our Detect Anomalies in Your Data with ML service today and take control of the unexpected.
Detect Anomalies in Your Data with ML
Meet Ellen Rushe, Assistant Professor in the School of Computing at Dublin City University. Asst. Prof. Rushe specialises in machine learning for data streams, novelty detection, and anomaly detection, with a diverse academic background spanning music technology, computer science, and semi-supervised deep learning.
Connect on LinkedIn to explore Asst. Prof. Rushe's expertise further.