1)What was FireEye's AI strategy i.e., how did management decide whether or not to move forward on an AI initiative?

2)Comment on how the Atomicity (deep-learning neural network) was developed using agile approach - discuss pros and cons, was this appropriate or was there a better development approach e.g., System Development Lifecycle (SDLC)?

3)Critique the Atomicity development team "make-up" strategy that FireEye used; what was good about? How could it be improved?

4)What is the role of synthetic training data? What are the issues in keeping such a predictive model performing well?

5)As a manager how would you choose to lead a cultural change for your firm to embrace AI? List and discuss three key strategic points.

6)What did you learn about cybersecurity in this case? List and discuss three learning points.

Reading material available in Content>FireEye section.

Answer rating: 100% (QA)

1 FireEyes AI Strategy FireEyes AI strategy involved a thorough evaluation process to determine whether to proceed with AI initiatives Management considered factors such as the alignment with company ... View the full answer