What’s New in Pega: Latest Updates and Features

Greetings, Pega Enthusiasts! Welcome to another exciting post on our journey with Pega. We’re diving into the latest updates and features that Pega has to offer. For those who are new here, Pega is a powerful platform that revolutionizes business process management by automating workflows, enhancing decision-making, and improving overall efficiency. Whether you’re a seasoned Pega user or just starting out, staying updated with the latest features is crucial to making the most out of this incredible tool.
Let’s explore what’s new in Pega and how these updates can help us transform our business processes for the better!
Latest Updates in Pega
Pega has recently released version 24.1 of the Pega Platform, which includes several exciting new features and improvements. Here’s a detailed look at some of the key updates:
1. Pega GenAI Blueprint
Overview: Pega GenAI Blueprint allows us to build new applications from a Pega GenAI-powered definition. By describing our goals, it suggests optimal application designs based on best practices.
Benefits:

• Streamlined Development: This feature helps streamline the application development process, reducing time-to-market.

• Best Practices: Ensures that the designs are based on industry best practices, enhancing the quality and efficiency of your applications.

• Collaboration: Facilitates collaboration among team members, ensuring alignment and comprehensive design.

Example: We can define case types, live data, personas, and other facets of a Pega application quickly and efficiently. For instance, if you are developing a customer service application, you can describe the goals such as handling customer inquiries and managing service requests. Pega GenAI Blueprint will then suggest the optimal design, including the necessary case types, data models, and user personas, to achieve these goals effectively.
2. Pega GenAI™ Autopilot
Overview: Pega GenAI Autopilot automates complex and repetitive tasks within Pega Platform applications. By leveraging AI, it simplifies and accelerates processes that would otherwise require significant manual effort.
Benefits:

• Enhanced Efficiency: Automates case management tasks, reducing the time and effort required to handle cases.

• Increased Productivity: Simplifies data entry and other repetitive tasks, allowing users to focus on more strategic activities.

• Consistency and Accuracy: Ensures that tasks are performed consistently and accurately, minimizing the risk of human error.

Example: Autopilot can automate field creation for views based on the name of the view, case type, and stage. For instance, if we are creating a new case type for customer support, Autopilot can automatically generate the necessary fields and views based on predefined templates and best practices. This not only saves time but also ensures that the fields are correctly configured and aligned with the overall case management strategy.
3. Pega GenAI™ Coach
Overview: Pega GenAI Coach is a generative AI-powered mentor designed to provide proactive guidance to users, helping them achieve optimal outcomes. It leverages AI to offer personalized advice and summaries, tailored to the specific needs and objectives of an organization and its employees.
Benefits:

• Proactive Guidance: Provides real-time, proactive guidance to users, helping them navigate complex tasks and processes.

• Personalization: Can be customized to align with an organization’s goals and the specific needs of its employees, ensuring relevant and actionable advice.

• Efficiency: Summarizes complex case data into concise, easy-to-understand paragraphs, making it easier for users to review progress and recent changes quickly.

• Improved Decision-Making: Enhances decision-making by providing users with clear, actionable insights based on real-time data.

Example: Pega GenAI Coach can summarize case data into a single paragraph, making it easier for users to review progress and recent changes. For instance, in a customer service scenario, the Coach can provide a summary of a customer’s case history, recent interactions, and current status. This allows customer service representatives to quickly understand the context and make informed decisions on the next steps.
4. Enhanced User Interface and User Experience
Overview: The latest release of Pega includes significant improvements to the user interface (UI) and user experience (UX). These enhancements are designed to make the platform more intuitive, user-friendly, and visually appealing.
Benefits:

• Intuitive Navigation: The updated UI components and templates make it easier for users to navigate the platform, reducing the learning curve for new users.

• Improved Productivity: A more user-friendly interface helps users complete tasks more efficiently, boosting overall productivity.

• Modern Look and Feel: The enhancements provide a modern and streamlined look, making the platform more visually appealing and engaging.

• Consistency: Consistent design elements across the platform ensure a cohesive user experience, reducing confusion and improving usability.

Visuals:

• Updated UI Components: The latest release includes new and improved UI components, such as buttons, forms, and menus, that are designed to be more responsive and accessible.

• Templates: New templates provide a consistent and modern design framework, making it easier to create visually appealing applications.

• Enhanced Visual Feedback: Improved visual feedback mechanisms, such as animations and transitions, help users understand the system’s responses to their actions, making interactions more intuitive.

Example: Imagine a customer service application where the updated UI components and templates provide a cleaner and more organized layout. Users can quickly find the information they need, navigate between different sections effortlessly, and complete their tasks with fewer clicks. The modern look and feel of the application also make it more enjoyable to use, leading to higher user satisfaction and productivity.
5. Process AI and Process Mining
Overview: Process AI and Process Mining are integral components of a closed-loop continuous optimization system built on top of the Pega Platform. These tools work together to analyze, optimize, and enhance business processes in real-time.
Benefits:

• Problem Identification: Process Mining helps identify inefficiencies and bottlenecks within existing workflows by analyzing historical data.

• Real-Time Optimization: Process AI injects real-time AI capabilities to continuously optimize processes, ensuring they run as efficiently as possible.

• Actionable Insights: Provides actionable insights that help organizations make data-driven decisions to improve their operations.

• Continuous Improvement: Supports a cycle of continuous improvement by constantly monitoring and refining processes based on real-time data and AI insights.

Example:
Process Mining: Imagine a customer service department that uses Process Mining to analyze the workflow of handling customer complaints. The tool uncovers that a significant amount of time is spent on manual data entry, causing delays in resolving issues.
Process AI: With this insight, Process AI can be implemented to automate data entry and streamline the workflow. It continuously monitors the process, providing real-time adjustments and recommendations to further enhance efficiency.
By leveraging Process AI and Process Mining, organizations can uncover hidden inefficiencies, optimize their workflows, and ensure that their processes are always running at peak performance.
6. Scalability and Security Enhancements
Overview: The latest updates to Pega include significant improvements in cloud scalability and security features. These enhancements are designed to help organizations handle larger workloads more efficiently and ensure robust data protection and compliance.
Benefits:

• Enhanced Scalability:

• Better Performance: Improved scalability allows the platform to handle increased workloads without compromising performance.

• Flexibility: Organizations can scale their operations up or down based on demand, ensuring optimal resource utilization.

• Improved Security:

• Data Protection: Enhanced security features protect sensitive data from breaches and unauthorized access.

• Compliance: Ensures compliance with the latest industry standards and regulations, reducing the risk of legal and financial penalties.

• Advanced Threat Detection: Incorporates advanced threat detection mechanisms to identify and mitigate potential security threats in real-time.

Example: Organizations can now scale their operations more efficiently and securely. For instance, a financial institution experiencing a surge in online transactions can leverage the enhanced scalability to handle the increased load without any performance degradation. Simultaneously, the improved security features ensure that all transactions are protected against cyber threats, maintaining customer trust and regulatory compliance.
By implementing these scalability and security enhancements, organizations can achieve greater operational efficiency and ensure that their data remains secure and compliant with industry standards.