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Last updated on 2024年10月10日

How do you define the project scope for a complex AI system?

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Defining the project scope for a complex AI system is a crucial step in project design. It helps you clarify the goals, deliverables, requirements, and boundaries of your project, as well as the roles and responsibilities of your team and stakeholders. However, it can also be challenging to define the scope of an AI project, as it involves dealing with uncertainty, ambiguity, and dynamic changes. In this article, we will share some tips and best practices on how to define the project scope for a complex AI system.

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Milad Saeedi

Product Designer at Hami System Sharif | Ui/Ux Designer | Creative problem solving | User-Centered Design
Ish Sachdeva

Mergers and Acquisitions Specialist | I help Tech firms maximize post-M&A value through my P.A.C.E method aligning…
Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager

1 Understand the problem

Before you can define the scope of your AI project, you need to understand the problem you are trying to solve and the value you are trying to create. You should conduct a thorough analysis of the current situation, the needs and expectations of your users and clients, the opportunities and risks of using AI, and the ethical and social implications of your solution. You should also define the key performance indicators (KPIs) that will measure the success of your project and align them with your business objectives.

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Milad Saeedi

Product Designer at Hami System Sharif | Ui/Ux Designer | Creative problem solving | User-Centered Design
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Provide accurate and understandable suggestions. According to the requirements of the project, we can give good explanations.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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Antes de definir el alcance, es esencial comprender a fondo el problema que el sistema de IA abordará. Mi experiencia muestra que involucrar a stakeholders clave desde el principio facilita una comprensión completa y precisa del contexto.

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Pratik Ashok

Manager @ BMO Capital Markets | MSc Finance
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First, clearly identify the specific issue the AI aims to solve, such as improving processes, enhancing decision-making, or automating tasks. Analyze current workflows or systems to spot inefficiencies or gaps where AI can add value. Engage with stakeholders to gather insights, ensuring their concerns are addressed and aligned with project goals. Finally, set clear, measurable objectives like improving accuracy or reducing costs. By thoroughly understanding the problem, you ensure the AI system solves the right challenges and delivers impactful results.

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2 Define the solution

Once you have a clear understanding of the problem, you can start defining the solution you want to build with AI. You should identify the main features and functions of your AI system, the data sources and methods you will use to train and test it, the technologies and tools you will employ, and the standards and regulations you will follow. You should also consider the feasibility, viability, and desirability of your solution, and how it will fit into the existing processes and systems of your organization and users.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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Al definir la solución, mi experiencia destaca la importancia de explorar diversas opciones y elegir la más adecuada. La colaboración interdisciplinaria ayuda a integrar perspectivas únicas para crear una solución robusta y efectiva.

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3 Scope the work

After defining the solution, you need to scope the work required to develop and implement it. You should break down your solution into manageable tasks and subtasks, and assign them to your team members according to their skills and availability. You should also estimate the time, cost, and resources needed for each task, and prioritize them based on their importance and urgency. You should also define the milestones and deliverables that will mark the progress and completion of your project.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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Para establecer el alcance, es fundamental delimitar claramente las funciones y limitaciones del sistema de IA. Mi experiencia indica que involucrar a todos los interesados en discusiones detalladas ayuda a evitar malentendidos y garantiza expectativas realistas.

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4 Communicate the scope

Once you have scoped the work, you need to communicate the scope to your team and stakeholders. You should document the scope of your project in a clear and concise way, using tools such as a scope statement, a work breakdown structure (WBS), a Gantt chart, or a scope management plan. You should also share the scope with your team and stakeholders, and get their feedback and approval. You should also establish a communication plan that will keep everyone informed and engaged throughout the project.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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La comunicación clara es clave. Basándome en experiencias anteriores, asegurarse de que todos los interesados comprendan y respalden el alcance del proyecto desde el principio reduce la probabilidad de cambios disruptivos más adelante.

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5 Manage the scope

Finally, you need to manage the scope of your project as it evolves. You should monitor and control the performance and quality of your project, and compare it with the planned scope and KPIs. You should also identify and address any issues or changes that may arise during the project, and evaluate their impact on the scope, schedule, budget, and quality. You should also follow a change management process that will help you assess, approve, and implement any changes to the scope in a systematic and transparent way.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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La gestión activa del alcance es esencial para evitar desviaciones. He aprendido que mantener un proceso de cambio controlado y documentado ayuda a evaluar el impacto y mantener la integridad del proyecto.

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Pratik Ashok

Manager @ BMO Capital Markets | MSc Finance
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Start by defining what the AI will do—such as predicting customer behavior, automating tasks, or optimizing inventory—and set clear limits on its scope. Prioritize essential features, like ensuring accurate predictions. For example, if the AI focuses on predicting product demand, prioritize refining the prediction model to enhance accuracy before adding additional functionalities. Document all requirements, including data sources, algorithms, and performance metrics. Maintain strict control over changes to avoid scope creep and ensure alignment with initial goals. Test the AI regularly to verify it meets expectations, and maintain clear communication with stakeholders to keep everyone informed and aligned throughout the project.

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6 Learn from the scope

Defining the project scope for a complex AI system is not a one-time activity, but a continuous learning process. You should review and reflect on the scope of your project at regular intervals, and learn from your successes and failures. You should also document and share your lessons learned and best practices with your team and stakeholders, and use them to improve your future AI projects.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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La retrospección constante es crucial. Mi experiencia sugiere que realizar revisiones periódicas del alcance ayuda a identificar áreas de mejora y ajustar estrategias según las lecciones aprendidas durante el desarrollo del sistema de IA.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Ish Sachdeva

Mergers and Acquisitions Specialist | I help Tech firms maximize post-M&A value through my P.A.C.E method aligning people, culture, process & tech for faster frictionless integration | M&A Specialist || M&A Consultant
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Complex AI systems are exciting, but poorly defined scope can lead to chaos. The key? Balance ambition with clear boundaries. Keeping the below points in mind helps ?? Focus on real user needs: Understand user needs, not just cool tech. ?? Focus Measurable Success: Define how the AI will win for users. ?? Chunk it Right: Break down work into manageable pieces. ?? Communicate Clearly: Ensure everyone's on the same page. ?? Embrace Learning: Leave room to adapt as you go. Remember, AI is a journey, not a destination. A well-defined scope is your roadmap, keeping your project on track and delivering real value.

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Jose Sergio Torres

Growth Hacker | DASM? | Google Project? Manager
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La ética y la transparencia son imperativos. En mi experiencia, integrar evaluaciones éticas y explicabilidad en el dise?o y desarrollo del sistema de IA no solo fortalece su aceptación, sino que también reduce riesgos asociados con posibles implicaciones no deseadas.

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How do you define the project scope for a complex AI system?

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1 Understand the problem

2 Define the solution

3 Scope the work

4 Communicate the scope

5 Manage the scope

6 Learn from the scope

7 Here’s what else to consider

Project Design

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