Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems to generate accurate predictions of asset failure.
Our Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver services-based differentiation, and reduce maintenance costs.
Reduce energy costs and improve building operations through real-time tracking, analytics, and optimization.
Our Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, building optimization, demand response, and anomaly detection to lower costs, improve operations, and meet energy-efficiency goals.
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning.
Our Sensor Health uses advanced AI/machine learning to predict sensor failures and identify sensor and network health issues with a high degree of precision.
Improve patient experience while reducing operational costs with AI-enabled nurse and staff scheduling.
Identify highest-risk patients for life-threatening diseases.
Enhance medication adherence and lifestyle changes with customized treatment and messaging.
Leading U.S. health plan decided to migrate its Human Capital Management capabilities to an Oracle Cloud HCM solution.
WakeMed Children's, a leading pediatric health system, develops a five-year strategy for expansion.
Accenture helps leading pediatric hospitals optimize its revenue cycle and case acceleration.
Accenture helps Northside Hospital drive down energy and telecom costs.