Detect Anomalies in Your Data with ML
Learn to expect the unexpected with ML and data analytics
Service Description
FXC Reference Number: DINS65656 From faults in manufacturing to cyber security threats, anomalous behaviour can have a significant impact on your business. The ability to detect and react to unusual behaviour in your data can mitigate catastrophes and ensure greater quality assurance. Delivered by the Insight SFI Research Centre for Data Analytics, this service will devise a strategy to do exactly this using machine learning (ML) and data analytics. What to expect: In this service we will consider your business’ unique risk of anomalies or rare events, and provide you with a plan to detect them using ML and data analytics. Specifically this service will: • Enable you to discuss your unique needs, data and infrastructure with an expert on the topic. • Design a blueprint to detect anomalies tailored specifically to your business and provide you with a documented roadmap for an anomaly detection system What you takeaway: • A 2-hour one-on-one discussion session to understand your business needs, data availability, infrastructure and workflow (2hr online session linked to this booking). • A second 2-hour design proposal session to provide you with a roadmap for a solution to your anomaly detection needs. • Documented plan for anomaly detection system tailored to your business. Availability for initial 2hr online consultation: Tuesday and Thursday 10am – 3pm This service is designed for: • Enterprise (e.g. Manufacturers); & • Public Organisations (e.g. Education Bodies) This service can only be booked after: • Digital Maturity Assessment; or • Digital Maturity Assessment for Industry.