Case Study
Top 5 Strategy Considerations for GenAI - Dell AI Factory with NVIDIA
76% of leaders expect GenAI to change the game. Learn the 5 critical strategy pillars to move your organization from experimentation to high-impact production. Bridge the gap between AI potential and business reality. This guide provides a strategic framework for leaders to prioritize high-value use cases and scale GenAI across the enterprise.
- Topic
- Emerging Tech
- Published
- 15 May 2026
While the potential of Generative AI is undeniable, many organizations find themselves stalled by complexity, talent gaps, and data silos. To unlock true ROI, AI cannot be a side project; it must be a core business strategy. This eBook, part of the Dell AI Factory with NVIDIA initiative, outlines the roadmap for navigating this transition.
Explore the essential pillars of a successful GenAI strategy: from identifying "low-hanging fruit" and high-impact use cases to choosing between building, buying, or tuning your models. We dive into the necessity of a modern data foundation and the importance of professional services to bridge the skills gap. By aligning your technology stack with business-level KPIs, you can move beyond the "sandbox" and build a repeatable engine for innovation.
Key Highlights:
The Transformative Mandate: 76% of IT and business leaders believe GenAI will deliver fundamental value to their organizations.
The Pilot-to-Production Gap: Strategic insights on how to overcome the common challenges that stall AI efforts.
Use Case Prioritization: How to use a "Prioritization Matrix" to identify high-value/high-feasibility initiatives.
Buy vs. Build vs. Tune: A deep dive into the three main approaches for implementing Large Language Models (LLMs).
The Data Pillar: Why a robust data strategy; incorporating quality, governance, and architecture, is non-negotiable for AI success.
Scaling Infrastructure: Aligning your compute, storage, and networking through the Dell AI Factory with NVIDIA.
Closing the Skills Gap: Leveraging professional services and workshops to augment internal talent and accelerate deployment.
Measuring Success: Moving from technical metrics to business-critical KPIs and long-term ROI.
Strategic Workshops: Real-world case study on how collaborative workshops help healthcare and other industries align AI with operational goals.