Business Analyst
1 week ago
- Artificial IntelligenceLocation: HyderabadTimings: 12PM 9PMBasic Knowledge of AI/ML:Before delving into Business Analysis tasks, it's crucial for the BA to have a fundamental understanding of AI and ML components.
When faced with a requirement for predicting future trends for a specific product, a BA should:
Functional and
Non-
Functional Requirements:
BA's involvement in highly technical AI/ML projects requires meticulous attention to both functional and non-functional requirements:
Functional Requirements:
- Leverage expertise to gather and articulate business needs related to AI functionalities, like predictive modeling for future trends.
- Collaborate with data scientists to define requirements for model training, testing, and deployment.
Functional Requirements:
- Document non-functional requirements precisely, considering the technical nature of AI/ML projects.
- Ensure clear communication of performance, scalability, and security requirements.
Data Gathering and Analysis:
- Utilize domain expertise to gather relevant data for AI projects.
- Analyze data for meaningful insights and present it as part of functional requirements, demonstrating an understanding of its impact on AI model performance.
Technical Implementation:
- Work closely with the AI development team, utilizing technical skills in areas like Python programming and familiarity with popular ML frameworks (e.g., TensorFlow, PyTorch).
- Collaborate on the implementation of ML models and contribute insights to Proof of Concepts.
- By integrating these technical skills into the BA's responsibilities, the role becomes well-rounded, covering both the business and technical aspects essential for successful AI and ML projects. This approach ensures a comprehensive understanding of requirements and effective communication between business stakeholders and the technical team.
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