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Enterprise AI Analysis: Understanding AI Education Needs: Insights from the NAIRR Pilot

AI Education Needs Analysis

Unlocking AI Potential: Bridging Gaps in Research & Education

The rapid proliferation of artificial intelligence (AI) tools, such as ChatGPT, has driven increased interest among researchers and educators. The NAIRR Pilot was launched in 2024 to support U.S. research and education communities in responsibly leveraging AI. Through surveys and engagement efforts, key obstacles have been identified, including gaps in high-performance computing (HPC) knowledge and the need for structured AI education. The 'AI Unlocked' workshop, hosted in April 2025, attracted over 768 applicants and covered a range of AI topics, revealing strong interest in large language models (LLMs), AI research applications, and hands-on training.

Key Metrics from AI Education Needs Analysis

0 Respondents actively using AI
0 Applicants for 'AI Unlocked' Workshop
0 Interest in LLMs for Training

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Many researchers and educators face significant hurdles in effectively leveraging AI, particularly concerning high-performance computing (HPC) resources and a clear understanding of best practices.

Biggest Challenges with AI (Survey Findings)

Challenge Category Prevalence (Approx.)
Too many tools, need help understanding applicability 40% of respondents
Using AI in research, need 1:1 help with specific issues 30% of respondents
Need extra help to use AI in research or classroom 20% of respondents
Overwhelmed, don't know where to start 10% of respondents

The NAIRR Pilot and initiatives like the 'AI Unlocked' workshop aim to bridge these gaps by providing structured education, resources, and community support tailored to user needs.

NAIRR Pilot AI Education Journey

Assess User Needs
Develop Workshop Curriculum
Host 'AI Unlocked' Workshop
Provide Ongoing Support & Resources
Foster Community & Collaboration
768+ Applicants for AI Unlocked Workshop, indicating high demand for structured AI education.

The insights gained from initial surveys and workshop applications are crucial for refining future AI education strategies and ensuring effective, responsible AI adoption.

AI Unlocked Workshop Applicant Disciplines

Discipline Prevalence
Computer Science Most applications
Engineering High representation
Social Sciences Significant interest
Humanities & Arts Notable presence
Biology / Biomedical/Health Science Strong interest
Mathematics / Physics / Chemistry / Earth Science / Space Science Represented

Case Study: The AI Unlocked Workshop

Problem: Researchers and educators needed structured education and resources to effectively leverage AI tools, especially concerning HPC and LLMs.

Solution: The 'AI Unlocked' workshop was developed with two tracks (beginner & advanced) covering 11 key AI topics, including LLMs, AI in research, and HPC usage, attracting over 768 applicants.

Outcome: The strong demand and diverse participant base highlighted the critical need for comprehensive AI education and community-building, informing future NAIRR Pilot support strategies.

Calculate Your Potential AI Integration ROI

Estimate the efficiency gains and cost savings your organization could realize by integrating AI solutions, based on industry averages and our deep analysis.

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Your AI Education & Integration Roadmap

A structured approach to transforming your AI capabilities, from initial assessment to ongoing community engagement.

Phase 1: Needs Assessment & Resource Discovery

Identify specific AI education gaps and explore available NAIRR Pilot resources, including computational access and learning materials.

Phase 2: Targeted Training & Skill Development

Engage in structured workshops like 'AI Unlocked' to gain practical skills in LLMs, AI research applications, and HPC utilization.

Phase 3: Pilot Implementation & Support

Apply newly acquired AI knowledge to research projects, utilizing NAIRR Pilot allocations with ongoing 1:1 support and office hours.

Phase 4: Community Engagement & Best Practices

Participate in knowledge-sharing opportunities, foster collaborations, and contribute to the evolution of responsible AI practices.

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Connect with our experts to discuss how the NAIRR Pilot can accelerate your AI journey, providing tailored support and resources.

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