As businesses produce more data than ever before, the timely spotting of anomalies becomes crucial in pre-empting business risks and can become a competitive advantage in the detection and prevention of fraudulent activities. It is imperative for businesses to explore AI driven contextual anomalies to help stay alert about hidden trends in data. Detecting anomalies and responding in a timely manner using cutting-edge machine learning techniques in conjunction with modern cloud data architectures is becoming a differentiating factor for business success.
Tune into this session as Sudharshana Bharathi will be sharing his experience in deploying supervised and unsupervised machine-learning techniques and data orchestration in the cloud to enable anomaly detection.
