Revolutionizing MBA Networking with Generative AI: How to build an online speed networking event

As academic director of the WHU Global Online MBA , I fully realize the importance of networking as an invaluable asset for MBA students, who seek to build connections that will drive their careers forward. At WHU Otto Beisheim School of Management, we have taken an innovative approach to enhance speed networking by leveraging the power of generative AI. Here is a detailed insight into how I developed this application:

Step 1: Collecting Participant Information

The journey began by inviting our Kellogg-WHU Executive MBA , WHU Global Online MBA and WHU MBA Program students and alumni to participate in the speed networking event. With their consent, I utilized LinkedIn to collect data on the registered participants, ensuring that each registrant's professional background, skills, and interests were accurately captured. This step was crucial to create a comprehensive database that would later drive the matching process.

Step 2: Centralizing Data in One Database

After collecting the LinkedIn data, the next step was to centralize all the information into a single, cohesive database. This database became the backbone of our application, housing all the necessary data points required for effective matchmaking. I

Step 3: Building the AI Assistant for Profile Analysis

Utilizing the OpenAI developer platform, I built an assistant capable of analyzing the LinkedIn profiles of each participant. This assistant was designed to identify three potential buddies for every participant based on shared interests, complementary skills, and professional backgrounds. The AI's ability to discern nuanced connections between profiles was key to creating meaningful networking opportunities.

Step 4: Creating an Optimal Matching Algorithm

With the AI assistant's recommendations in place, the next challenge was to develop an algorithm that could optimize the matching process. Using ChatGPT, I created an algorithm that not only considered the AI's buddy suggestions but also optimized the pairing process to ensure balanced and diverse interactions. This algorithm was crucial for managing the dynamic and complex nature of speed networking events. Based on the algorithm, I was able to create a speed networking schedule where each participant would engage in three bilateral speed networking rounds and would talk in every round with a different person, where the likelihood of meeting a buddy was maximized.

Step 5: Developing an Assistant Prompt for Providing Speed Networking Inspiration

Finally, I developed an assistant prompt that would generate personalized explanations for each speed networking session. This prompt provided context on why two individuals were matched, highlighting shared interests and potential talking points. Moreover, the assistant generated some talking points that the matched individuals could use for their conversation. By doing so, it facilitated smoother conversations and helped participants make the most of their networking opportunities.

Conclusion

By combining detailed data collection, sophisticated AI analysis, and optimal matching algorithms, we have created an application that transforms the speed networking experience for MBA students at WHU Otto Beisheim School of Management. This innovative approach ensures that participants can engage meaningful and impactful connections. As we continue to refine this application, we look forward to seeing how it will further revolutionize networking in academic and professional settings.

If you want to know more about our Global Online MBA program, check out the program via this link: https://www.dhirubhai.net/smart-links/AQH8B_QlmCShfw