Generation AI

Navigating AI Vendor Selection in Higher Ed

Episode Summary

In this episode, we tackle a timely issue for our higher education friends: how to choose the right AI vendor. As you enter planning mode and vet potential partners, we share our insights on navigating the good and bad of AI vendor selection. We discuss the challenges of implementing emerging AI technologies, where possibilities are vast but proven successes are still unfolding. Using real-world examples, including a recent case from the Los Angeles Unified School District, we offer practical advice on what to consider when selecting AI partners. Whether you're launching new projects or expanding existing ones, this episode will help you make informed decisions in the rapidly evolving world of AI in higher education.

Episode Notes

In this episode, we tackle a timely issue for our higher education friends: how to choose the right AI vendor. As you enter planning mode and vet potential partners, we share our insights on navigating the good and bad of AI vendor selection. We discuss the challenges of implementing emerging AI technologies, where possibilities are vast but proven successes are still unfolding. Using real-world examples, including a recent case from the Los Angeles Unified School District, we offer practical advice on what to consider when selecting AI partners. Whether you're launching new projects or expanding existing ones, this episode will help you make informed decisions in the rapidly evolving world of AI in higher education.

The Current AI Landscape in Higher Education

• Recognize that AI adoption in higher ed is still in early stages
• Understand that planning and vendor selection are crucial first steps
• Be aware that while AI possibilities are vast, proven use cases are still developing

Lessons from the LA Unified School District AI Project

• Large-scale AI projects carry significant risks
• Proper scoping and realistic expectations are essential
• Consider starting with smaller, focused AI initiatives before scaling up

Evaluating AI Vendors: Beyond the Hype

• Look past marketing buzz and focus on concrete AI capabilities
• Ask for specific, relevant examples of AI applications in higher ed
• Check references and speak with current clients about their experiences

Understanding the True Cost of AI Implementation

• Budget for hidden costs like integration and ongoing maintenance
• Consider long-term expenses, not just initial implementation costs
• Evaluate different pricing models to find the best fit for your institution

Data Considerations in AI Projects

• Assess your institution's data quality and quantity before starting AI projects
• Plan for data integration challenges with existing systems
• Prioritize student data privacy and security in all AI initiatives

The Value of Proof of Concepts (POCs)

• Use POCs to test AI capabilities in your specific environment
• Set clear, measurable goals and timelines for AI pilots
• Be prepared to learn from both successes and failures in POCs

Change Management and AI Adoption

• Prepare for organizational changes when implementing AI
• Involve stakeholders early in the AI adoption process
• View AI as a tool for transformation, not just process automation

Choosing the Right AI Partner for Your Institution

• Look for partners with higher education experience and understanding
• Prioritize vendors who offer both technological and strategic support
• Build partnerships based on shared goals and long-term vision

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