Prescriptive Analytics
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- Prescriptive Analytics | SAS
- Prescriptive Analytics | IBM
- Prescriptive Analytics | StitchData
- Prescriptive Analytics | Spiceworks
- Prescriptive Analytics | Forbes
- Advanced AI: from predictive to prescriptive analytics | Wizata
- A Look at Prescriptive Analytics and The Value They Can Deliver | A Look at Prescriptive Analytics and The Value They Can Deliver - CMSwire
- What Is Prescriptive Analytics? How It Works and Examples | Troy Segal - Investopedia
Prescriptive analytics is a type of analytics that uses machine learning and other AI techniques to recommend actions that optimize a specific business objective. AI can support prescriptive analytics in several ways:
- Data analysis: analyze large amounts of data to identify patterns and relationships that are not immediately apparent to humans. This analysis can help identify the key drivers of a particular business outcome and inform the development of prescriptive models.
- Predictive modeling: develop predictive models that forecast future outcomes based on historical data. These models can be used to identify the most likely outcomes of different actions and inform prescriptive recommendations.
- Optimization: optimize complex systems that have many interdependent variables. This optimization can help identify the best course of action to achieve a specific business objective.
- Real-time decision-making: make real-time decisions based on changing conditions. This can help organizations respond quickly to changing circumstances and make decisions that are more likely to achieve their desired outcome.
