Identify three ways AI enables Pega Platform™ applications to achieve better outcomes. (Choose Three)

Pega Platform™ leverages Artificial Intelligence (AI) to drive significant business outcomes. Natural Language Processing (NLP) is used to analyze unstructured text from sources like emails and chats, extracting intent and data to automate case processing. The Customer Decision Hub™ uses AI to power Next-Best-Action, which personalizes customer interactions in real-time to increase engagement and value. Furthermore, Process AI employs predictive and adaptive analytics to forecast case outcomes, such as the probability of missing a Service Level Agreement (SLA), enabling proactive intervention to ensure deadlines are met and processes run efficiently. These capabilities directly contribute to better efficiency, customer satisfaction, and operational performance.

A. Process and Task mining increases operational inefficiencies.

This is incorrect. The purpose of process and task mining is to identify and eliminate bottlenecks, thereby decreasing operational inefficiencies and improving process flows.

B. AI-generated imagery entertains customers awaiting case resolution.

This is not a core function of Pega AI aimed at achieving business outcomes. Pega's AI focuses on optimizing processes and decisions, not on providing entertainment.

1. Pega Academy (2024). "Pega AI" module

Pega Certified Business Architect (PCBA) 24V1 course.

Reference for C & E: The "Process AI" lesson explains how Pega uses AI to predict the likelihood of achieving a case goal

such as meeting a deadline (supporting E). The "Conversational AI" lesson details how NLP is used to understand user intent from text to automate service requests (supporting C).

Reference for D: The "Customer Decision Hub" lesson describes how the Next-Best-Action capability uses AI to deliver personalized

relevant actions and offers to customers across various channels.

2. Pega Documentation (2024). "Process AI overview". Pega Platform™ 24.1.

Reference for E: This document states

"Process AI for Pega Platform™ is a collection of artificial intelligence (AI) powered features that you can enable in your application to improve case processing... For example

you can predict the likelihood of a case to follow a certain path or to be completed on time." This directly supports the concept of anticipating missed deadlines.

3. Pega Documentation (2024). "Text analytics". Pega Platform™ 24.1.

Reference for C: This section details how Pega uses text analytics and NLP to "classify content

extract information

and detect the sentiment of unstructured text." It explicitly mentions applications like email routing and analysis

which convert unstructured text into actionable case data.