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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Competitive Landscape | 20% | - Addressing common objections - Differentiation from competing solutions - Unique advantages and technical strengths |
| Topic 2: Product Overview and Features | 30% | - Core capabilities of IBM Intelligent Video Analytics - Key technical components and architecture - Benefits and value proposition for customers |
| Topic 3: Solution Positioning and Use Cases | 25% | - Industry applications and deployment scenarios - Scalability and customization options - Integration with IBM security and analytics portfolio |
| Topic 4: Sales Strategy and Customer Engagement | 25% | - Proposing appropriate solution configurations - Identifying customer needs and requirements - Support and post-sales services - Licensing and pricing models |
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