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GenAI Architecture and Proof of Concept Roadmap
Complete an inventory of Customer’s Generative Artificial Intelligence (GenAI) data and workflow design and architecture patterns applied in prioritized GenAI use cases. Conduct high-level analysis of Customer’s business processes impacted by prioritized GenAI use cases to understand how data and GenAI workflow enablers/tools are embedded (e.g., source to target map).
Define the roles and responsibilities of Customer’s stakeholder personas (and key enablers) involved in GenAI use case portfolio management, governance, and the GenAI pipeline development lifecycle. Prioritize architectural improvement roadmap based on the GenAI stakeholder personas, expected value of improved business process portfolio, and the technical complexity of the GenAI pipeline transformation.
Identify one (1) GenAI pipeline for proof-of-concept (POC) planning for Intelligent Data Management Cloud-enabled automation, integration, validation, workload performance, and cost optimization.
• Customer to provide its previous GenAI Architecture Assessment, Software Development Life Cycle, org structure, roles and responsibilities, and artificial intelligence and data reference architecture (where available)
• Up to ten (10) key GenAI data sources, up to three (3) GenAI pipelines, and applicable workflow tools that require enhancement identified
• Prioritized roadmap of GenAI focused data and application integration, and governance technical architecture enhancement
• One (1) GenAI pipeline and one (1) business use case identified for architecture enhancement POC planning, which includes developing a high-level implementation plan
• GenAI Architecture Analysis Presentation, comprised of: (i) documented GenAI use cases and architecture prerequisites/dependencies/configurations
(ii) list of GenAI roles and responsibilities, including their interdependencies
(iii) analysis of architecture improvement opportunities, including tools, workflow processes, and agents, in relation to GenAI pipelines
(iv) prioritization matrix of architecture improvement opportunities
PSU Catalog
12
All Products
Professional Services Units
Plan
Generative AI
PSU-GAI-002
1-25 units
April 2025
A la carte
Additional Information
Professional Services Units can be converted into Training Units upon written request submitted to the Customer’s assigned Informatica Delivery Manager. The conversion ratio is one (1) Professional Services Unit to ten (10) Training Units. The converted Training Units can be used for any training currently offered in the Informatica University catalog other than training subscriptions. View available learning paths or log in to browse the full Informatica University catalog at https://now.informatica.com/All-Training-Paths.html. Educational Services are governed by the description and terms at https://now.informatica.com/Informatica-University-Terms.html.