I recently had the pleasure of attending the Association Women Technology Champions Advance conference — an always inspiring event — where I participated in the artificial intelligence panel. It was a joy to take part in this group, which brought together the best minds in the industry and fostered conversations both thoughtful and impactful. On the panel, we dove into how associations can harness AI to tackle challenges, improve member experiences, and drive innovation. Here are some key insights from our discussion.

The Foundation for AI Success

AI is a powerful tool, but it needs the right foundation to deliver value. As we discussed on the panel, associations should focus on these critical elements:

1. Clean, organized data: Without quality data, even the most advanced AI solutions can’t function effectively. Start with strong data management practices.
2. Subject matter expertise: AI thrives when paired with human expertise to contextualize insights and provide direction.
3. Clear goals and alignment: Well-defined objectives ensure that AI initiatives stay focused and deliver measurable results.

A culture of innovation is equally important. Associations should invest in learning, celebrate progress, and showcase AI success stories to drive excitement and buy-in.

Overcoming Challenges

Like any transformation, adopting AI comes with its share of barriers. Some of the common hurdles include:

• Data silos: Disconnected systems make it hard to access the data needed for AI.
• Outdated technology: Legacy systems often lack the capabilities required for AI.
• Fear of change: Resistance to new approaches can slow progress.
• Resource constraints: Budget, staffing, and technical expertise are often limited.

We discussed practical ways to overcome these challenges, such as starting with small, phased projects to demonstrate value, building collaborative partnerships to fill expertise gaps, and empowering staff through training.

Collaboration Is Key

AI projects thrive when teams work together with shared goals and clear communication. Success requires:

• Cross-team groups: Breaking down silos allows for better collaboration and innovation.
• Strong leadership: Leaders should guide the process, facilitate conversations, and keep teams aligned.
• Managing expectations: It’s important to set realistic goals and be transparent about what AI can and cannot do.

Looking ahead, personalization and predictive analytics are set to be game-changers for associations, enabling organizations to provide more tailored member experiences and proactive solutions.

Takeaways for AI Success

If your organization is exploring AI, consider these steps to get started:

• Do a readiness check. Ensure your data, technology, people, and governance are prepared for AI.
• Start small. Launch a pilot program to build momentum and trust.
• Foster a collaborative culture. Break down silos and encourage experimentation.
• Align with your mission. AI should support your long-term vision and goals.

Moving Forward

AI offers associations a powerful opportunity to innovate and better serve their members. By focusing on foundational readiness, fostering collaboration, and aligning efforts with their mission, organizations can unlock AI’s full potential.