Predictive analytics uses past data to find patterns and uses those patterns to predict what will likely happen in the future.
A person can create predictive analysis models in Pega Prediction Studio.
There are three options for creating predictive models:
1. Using Pega Machine
Basically, Pega adaptive model is a self-learning AI technic which doesn`t need any historical data. In a Pega strategy, business rules can be used to choose Next-Best-Action, but it doesn`t give appropriate offers all the time. Pega`s adaptive model fix it. Before getting any historical data, it works randomly and collects data. After
Merhaba, bu yazımda Pega’da otomatik hesaplamalar yapmak için kullanılan ‘Declare Expression’ı ve bu hesaplamaları yaparken hangi yöntemlerin izlenebileceğini anlatacağım.
Declare Expression, expressions’lara dayalı olarak property değerlerinin otomatik olarak hesaplanması için kullanılmaktadır. Ancak basit expressions’lardan ziyade; sabit içeren
Hello,
We will examine that what data page is and how we configure data page definition (structure,object type,mode,scope) and sources.
Firstly let’s start data page definition to our blog. Basically,we are able to say that datapages are used to access data with some data sources and to
Hello,
In our first Pega post, we will introduce to Pega Web Mashup, which will increase the accessibility of our Pega applications. Of course, we need a Pega application and case type as a prerequisite.
Therefore, first, we will create a simple Pega application on App Studio,
