GenAI Operating Model Design (PowerPoint PPTX Slide Deck)

TARGET OPERATING MODEL PPT DESCRIPTION

Explore a comprehensive GenAI Operating Model designed by ex-McKinsey & Big 4 consultants. Optimize deployment, governance, and data management for measurable results. GenAI Operating Model Design is a 29-slide PPT PowerPoint presentation slide deck (PPTX) available for immediate download upon purchase.

Explore Slides inside the Deck:

Six Critical Elements for Building a GenAI Operating Model Comparison of GenAI Development Models by Speed, Control, and Scalability Component-Based Phased Deployment of GenAI Architectures

GenAI use is rising globally. Many organizations set GenAI strategies and launch pilots across functions. Yet most stall at the proof-of-concept stage and never show measurable financial or operational results.

This PPT presentation outlines the missing piece: an effective GenAI Operating Model. It defines how leaders should fund, build, deploy, govern, and measure GenAI across the organization. Without it, teams duplicate work, data stays unprepared, risks go unmanaged, and successful pilots do not scale.

To generate value from GenAI, leaders need to define a GenAI Operating Model that puts data at the heart of the organization.

A robust GenAI Operating Model includes 6 key elements:

1. Devise a Component-centric GenAI Operating Model
2. Define a Core GenAI Team
3. Manage and Govern Data
4. Select a Viable Approach to GenAI Development
5. Establish Common Infrastructure for IT Teams
6. Ensure Risk and Compliance Governance

Each of these elements is discussed in depth.

This PowerPoint presentation on GenAI Operating Model framework also includes some slide templates for you to use in your own business presentations.

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TARGET OPERATING MODEL PPT SLIDES

Six Critical Elements for Building a GenAI Operating Model

This PPT slide outlines 6 key elements for designing a GenAI operating model: a component-centric GenAI model, a core GenAI team, data management and governance, common IT infrastructure, risk and compliance governance, and a viable GenAI development approach. These elements are interconnected, highlighting the need for a holistic operational framework. Many organizations struggle to scale GenAI effectively, with challenges stemming from operational and governance structures rather than technology. Clear ownership, standards, and controls are essential for achieving repeatable results in GenAI integration. This framework is crucial for senior leaders to operationalize GenAI successfully.

Comparison of GenAI Development Models by Speed, Control, and Scalability

This PPT slide compares 3 GenAI development models: Centralized, Federated, and Decentralized, focusing on speed, control, and scalability. Centralized GenAI consolidates teams for rapid, cost-effective deployment, but faces slow decision-making due to limited domain ownership. Federated models allow independent management of data and workflows by domain teams, enhancing speed, but requiring strong coordination. Decentralized GenAI enables direct deployment of AI agents by domains, necessitating high maturity and tech capabilities, while introducing risks like drifting standards and increased costs. The choice of model should align with organizational maturity and needs, recommending centralization for quick deployment, federation for balanced control and speed, and decentralization for agile, mature organizations.

Component-Based Phased Deployment of GenAI Architectures

This PPT slide discusses a phased, component-based rollout approach for adopting GenAI architectures. A modular, layered deployment enables quick implementation of GenAI without overhauling existing infrastructure. It emphasizes developing a component-centric GenAI operating model aligned with strategic goals and measurable use cases. The slide warns against treating GenAI as a one-off project, advocating for a continuous process of updates and maintenance of the component blueprint to ensure relevance and adaptability. Guidance is provided for extending mature components like cloud foundations, data pipelines, and identity access, noting that these extensions are capital-intensive, but essential for scaling. Prioritizing high-volume use cases that deliver measurable outcomes and maintaining a clear delivery plan, including change roadmaps and risk management, are critical for a successful rollout.

Source: Best Practices in Operating Model, GenAI PowerPoint Slides: GenAI Operating Model Design PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting