AI-Based Anomaly Detection for Proactive Business Monitoring - ERP Spain.com - España y América Latina

Businesses are inundated with countless bytes of data in databases, data lakes, business platforms, devices, and more. Discovering negative trends and problems are an issue for every organization because every organization lacks the human resources to monitor data in real time, report on changes, and investigate the root cause relationships between business and performance. Indeed, with so many moving parts in data-driven businesses, it is practically impossible to track all the data and events manually using traditional BI tools like dashboards... you always miss something crucial, which turns into revenue loss, angry customers or brand damage... Are you ready to move into the future of BI and AI-driven business monitoring? Join our speakers: Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research, Greg Kurzhals, Product Analyst at Pandora and Dr. Ira Cohen, Chief Data Scientist at Anodot for a discussion on: •An overview of best practices for AI analytics and anomaly detection •Real-world examples of how Pandora is using anomaly detection to track millions of events per day and investigate potential pitfalls •Use cases like churn, data quality and missing data, real-time data deviations, bug fixes, pricing opportunities, and more •Approaches and techniques to apply AI to anomaly detection to proactively focus where the business needs your focus