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A New Framework for AI Implementation

Introduction

In recent years, artificial intelligence has emerged as a game changer for enterprises, yet its deployment has often fallen short of expectations due to several systemic challenges. IBM has recognized these obstacles and is now setting a new benchmark for how companies can effectively translate advanced AI strategies into practical execution through its innovative model, Forward Deployed Units (FDUs).

The Current State of Enterprise AI

Enterprise AI stands at a critical juncture, with significant investments being funneled into exploration and experimentation. However, many organizations struggle to implement these technologies effectively in a timely manner. The issue at hand is not solely about having a clear vision or advanced technology; rather, the crux of the challenge lies in the operating model utilized by organizations. Traditionally, the focus has been on labor: by adding more staff, more output would be generated. This approach, while effective in the past, does not align with the nature of AI.

Defining FDUs: A New Approach to AI Delivery

IBM's approach with FDUs pivots from individual roles like the sought-after 'Forward Deployed Engineer' to a collaborative unit comprised of a team, or pod, that integrates both human talent and digital resources. These units enable smaller teams, consisting of just six individuals, to achieve the output of larger teams, enhancing efficiency and effectiveness in deploying AI initiatives.

The FDU model allows the integration of a digital workforce that assists in activities such as coding, evaluation, testing, and documentation, all under the guidance of humans, thereby harnessing the strengths of both parties to optimize outcomes.

The Need for a Shift in Delivery Models

The increase in demand for Forward Deployed Engineers indicates a pressing need for a shift in the conventional delivery model. Companies are not merely looking for strategic input; they desire professionals who can execute those strategies in real-world applications efficiently. While the FDE role encapsulates a mix of engineering and consulting skills, reliance on individual expertise fails to address a broader systemic issue — the need for interconnected and cohesive operational methods that can handle fragmented data, governance, and complex architecture.

Bridging Strategy and Execution

IBM’s FDU model connects strategy, engineering, and business context into one holistic system aimed at generating measurable business outcomes. Each FDU team comprises business domain specialists, architects, and engineers, all of whom directly collaborate with client teams. This synergy not only enhances operational efficiency but also fosters the internal capabilities of organizations to maintain and scale AI applications long after the FDUs depart.

Continuous Engagement and Adaptation

In the traditional model, a significant gap often exists after the initial implementation phase, particularly if the focus is solely on transactional roles. FDUs aim to eliminate this gap by ensuring that solution development, ongoing operation, and capability building occur synergistically. This continuous execution model not only helps in launching AI systems but also provides sustained value, adapting to ever-changing business environments.

The Role of Technology and Platforms

Beyond human talent, the efficacy of FDUs hinges on a robust technological foundation. IBM leverages its AI-powered delivery platform, IBM Consulting Advantage, which incorporates reusable assets, AI agents, and industry accelerators. This platform enhances consistency, governance, and speed in AI deployments, ensuring that teams have access to a scalable foundation.

Conclusion: The Future of AI Delivery

As organizations navigate the complexities of AI, the next phase will hinge on their ability to transform these technologies into lasting business value. While Forward Deployed Engineers play a crucial role, they are part of a larger strategy to create a streamlined, interconnected system that fosters innovation from experimentation to execution. IBM stands at the forefront of this evolution, ready to help clients achieve meaningful results in the AI landscape.

About IBM

IBM is a leader in global hybrid cloud and AI, offering consulting expertise that aids various industries in transforming their data into actionable insights. Operating in over 175 countries, IBM's extensive portfolio of services and commitment to innovation exemplifies its dedication to advancing enterprise capabilities and ensuring secure, efficient digital transformations.