// ROBOTICS AND SMART FACTORIES TERM
Prescriptive Analytics
A type of data analytics that not only predicts what will happen but also suggests actions to take and explains why. It provides recommendations for optimal outcomes.
TECHNICAL DEFINITION
Prescriptive analytics is an advanced analytical discipline that leverages predictive models, optimization algorithms, and business rules to recommend specific actions or decisions to achieve desired outcomes, often in real-time, by evaluating potential impacts and suggesting optimal strategies for industrial processes.
BACKGROUND
DevOps is the integration and automation of software development and information technology operations. DevOps encompasses the tasks necessary for software development and can lead to both shortening development time and improving the development life cycle. According to American software architect Neal Ford, DevOps, particularly through continuous delivery, employs the "bring the pain forward" principle by tackling challenging tasks early, fostering automation, and enabling swift issue detection.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Actionable Analytics
- Recommendation Engine
- Optimization Analytics
USAGE NOTE
Prescriptive analytics can advise operators on the best settings for a machine to maximize throughput and minimize energy consumption.
DEVELOPERS
Organizations developing technology related to Prescriptive Analytics.
A global industrial manufacturing company that provides prescriptive analytics through its Industrial IoT platform, MindSphere. The platform analyzes operational data from connected machinery to recommend specific actions for process optimization, energy management, and predictive maintenance.
Develops software for industrial companies, including its Asset Performance Management (APM) suite. This software uses data from industrial assets to move beyond prediction and prescribe specific maintenance and operational strategies to improve reliability and availability.
A provider of industrial automation and information technology. Their software offerings, such as the FactoryTalk suite and ThingWorx platform, integrate AI and machine learning to deliver prescriptive insights, suggesting optimal control parameters and corrective actions for manufacturing processes.
An enterprise AI software company that offers pre-built applications for various industries, including manufacturing. Their C3 AI Reliability application uses machine learning to predict equipment failure and prescribe specific, timely maintenance actions to prevent downtime.
A multinational software corporation that develops enterprise software to manage business operations. SAP's Digital Manufacturing Cloud solutions embed analytics to provide prescriptive guidance on quality management, production scheduling, and supply chain adjustments.
Specializes in advanced analytics software for process manufacturing data. Seeq enables engineers and data scientists to analyze time-series data to diagnose issues and identify opportunities, leading to prescribed changes in operations to improve production outcomes.
An industrial AI and IoT software company. Uptake's platform analyzes sensor data from industrial equipment to not only predict failures but also provide prescriptive recommendations on the root cause and the specific repair steps required, optimizing maintenance workflows.
Provides operational AI software designed for manufacturing and heavy industries. Their time-series AI platform, Falkonry Clue, analyzes operational data streams to discover patterns and provides actionable intelligence and prescriptions for improving yield, quality, and uptime.