AI is revolutionising event management and event planning, transforming everything from virtual event solutions to large-scale conferences.
The event industry thrives on its embrace of technological innovation. AI and advanced machine learning are proliferating across all areas of life and have long since established their place in event planning. While a few years ago, the future of events seemed to rest with virtual and augmented reality, in-person events, with hybrid as an option, have now returned stronger than ever – enhanced by the support of AI and new innovations in events management. Recent surveys even reveal that 80.4% of event organisers consider in-person formats to be their most effective marketing avenue, with 86.4% planning to increase the number of in-person events in 2025.
How can AI be used in Event Planning?
Artificial intelligence is fundamentally transforming event production – from planning and execution to post-event engagement – by introducing efficiencies and personalisation at every stage.
Below is a walkthrough of how AI enhances every stage of event planning, from pre-event logistics to post-event engagement, revolutionising the way event production agencies and event organisers deliver seamless experiences.
Pre event
AI’s influence begins long before the event takes place, enabling organisers to plan with precision:
- Predictive Analytics: With the help of tools like Splunk event production agencies can use AI to analyse attendance patterns, resource needs, and predict potential challenges to optimise event planning.
- Tailored Schedules: AI can create personalised schedules and content flows that work according to the attendees unique requirements. By leveraging consented historical data and user preferences, AI can support custom content flows that enhance the virtual event experience.
During the Event: Real-Time Enhancements
AI technologies elevate the attendee experience with dynamic, real-time solutions:
- Translation Services: With tools like Interprefy, AI can bridge language gaps, making AI summits and conferences more accessible to a global audience.
- Intelligent Content Curation: With tools like Envoku, AI can deliver hyper-personalised information in the most relevant and engaging formats for each attendee.
- Smart Networking: AI-driven tools can use matching algorithms that connect attendees with shared interests and goals – a critical feature for large-scale virtual event solutions.
- Real-Time Feedback: Using sentiment analysis, from platforms like Meeting Pulse, event organisers can analyse the tone and intent behind a sponsor or attendee messages, as well as their own communications. Instant feedback processing, from the likes of Responster, can then enable organisers to make on-the-spot improvements.
Post-Event: Sustaining Momentum and Engagement
AI extends the value of events long after they end:
- Automation and Workflows: Streamlines processes like post-event follow-ups and audience engagement.
- Dynamic Community Building: Attendees are transformed into long-term community members through personalised communications.
- Data-Driven Insights: Feedback and engagement metrics are analysed to improve future events and ensure lasting impact.
These innovations matter to both event organisers and attendees. While they are often showcased at AI summits, they are increasingly becoming standard across the events industry. With 42% of events and meetings professionals using AI for attendee and sponsor matchmaking, and 40% employing it to track engagement and streamline logistics, it’s clear that AI is reshaping the events landscape.
Discover how AI is transforming event planning, management, and engagement.
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