As generative AI continues to revolutionize industries, IT leaders face critical decisions about how to harness its transformative power effectively. From infrastructure planning to governance, the journey of bringing generative AI in-house requires strategic foresight, technical expertise, and a clear understanding of the challenges and opportunities.
In a recent webinar “Bringing Generative AI In-House”, hosted by Presidio’s Raph Meyerwitz, VP of Partner Go-to-Market Strategy, and Larry Grant, Principal Solutions Architect, we offer actionable guidance for bringing AI in house.
Navigating Exponential Growth
Generative AI is accelerating at an unprecedented pace. For example, ChatGPT reached 100 million users in under two months, showcasing the staggering adoption rate of generative AI technologies.
This rapid evolution demands that IT leaders not only embrace innovation but also prepare for its implications on infrastructure, governance, and organizational strategy. The question is no longer whether to adopt AI but how to do so responsibly and effectively.
Why Generative AI Matters
Generative AI stands out because of its ability to:
- Create: Generate text, images, code, and other content indistinguishable from human work.
- Reason: Solve complex problems and make informed decisions.
- Interact: Engage users in natural language conversations.
These capabilities are transforming industries such as healthcare, finance, entertainment, and beyond. However, leveraging generative AI isn’t just about deploying technology—it’s about aligning it with business goals while addressing ethical and operational challenges.
Governance: The Cornerstone of Responsible AI Adoption
While generative AI offers immense potential, it also introduces risks that demand robust governance frameworks. Recent incidents highlight the importance of accountability and ethical use:
- Lawyers fined for using ChatGPT-generated content in court.
- Businesses suing OpenAI for unauthorized use of their work.
- Deepfake scams impersonating executives to steal millions.
Governance isn’t merely about compliance; it’s about building trust and ensuring that AI enhances rather than undermines organizational integrity. IT leaders must prioritize transparency, data security, and ethical considerations as they integrate generative AI into their operations.
Infrastructure Planning: Powering AI Innovation
One of the most overlooked aspects of deploying generative AI is infrastructure readiness—particularly energy consumption and cooling requirements in data centers. As data center power usage is projected to double by 2030 due to AI technologies, IT leaders must carefully evaluate:
- GPU Selection: Choosing GPUs optimized for specific AI applications rather than over-investing in unnecessary resources.
- Power & Cooling Needs: Ensuring data centers can support the energy-intensive demands of high-performance computing hardware like NVIDIA’s Hopper and Blackwell platforms.
- Cost-Benefit Analysis: Balancing performance improvements with operational costs to maximize ROI.
Without proper planning, even the most advanced infrastructure can fail to deliver its intended benefits—a risk no organization can afford in today’s competitive landscape.
Choosing the Right AI Models for your Organization
Generative AI offers a plethora of models tailored for different tasks—from chatbots to code generation to image creation. However, not all models are created equal, and selecting the right ones requires a nuanced approach:
- Purpose Alignment: Identify models that align with specific business workflows and objectives.
- Trade-Offs: Balance efficiency with accuracy based on resource availability and desired outcomes.
- Customization: Leverage techniques like prompt engineering, fine-tuning, or retrieval augmented generation (RAG) to optimize model performance for your unique needs.
Rather than seeking a single “one-size-fits-all” solution, IT leaders should focus on building custom applications that integrate multiple models for maximum impact.
Customizing Generative AI for Business Success
Customization is key to unlocking the full potential of generative AI within your organization. Three primary approaches include:
- Prompt Engineering: Crafting precise inputs to achieve optimal outputs from pre-trained models.
- Fine-Tuning: Adapting existing models with specialized data for domain-specific tasks (though this can be resource-intensive).
- Retrieval Augmented Generation (RAG): Enhancing accuracy by combining corporate data with generative capabilities for more relevant results.
Each approach has its strengths and trade-offs—IT leaders must evaluate which strategy aligns best with their organization’s goals and resources.
Presidio’s Private AI Solution: A Strategic Advantage
Presidio’s private AI concept provides a comprehensive framework for bringing generative AI in-house—from proof-of-concept pilots to full-scale production deployments using consistent infrastructure. By partnering with leading technology providers like Cisco, Dell, HPE, Pure Storage, NetApp, Arrow, and NVIDIA, Presidio delivers tailored solutions that address critical challenges such as data organization across hybrid environments and energy efficiency in data centers.
With over 10,000 service engagements across 6,000 customers globally, Presidio combines deep technical expertise with a customer-centric approach to help organizations bridge the gap between innovation and operational excellence.
Turning Vision Into Reality
Generative AI represents a paradigm shift in technology adoption—but success depends on strategic planning and execution at every level. Decision-makers must prioritize governance frameworks, infrastructure readiness, model selection, and customization strategies to unlock the transformative potential of generative AI while mitigating risks.
With partners like Presidio offering proven solutions and expertise, organizations can confidently navigate this new frontier—driving innovation while maintaining trust and accountability.
Are you ready to explore the benefits of bringing generative AI in-house? Contact us today.
