AI (Artificial Intelligence) is transforming how we plan, organise, manage, and attend events. From a panel at Thought Leadership for Tomorrow in New York, panel member Matthew Duncan, Head of Future of Work Thought Leadership at Microsoft, cited data from Microsoft’s Work Trend Index 2024. He mentioned that ‘75% of employees interviewed were already using AI in their work, including 78% who were bringing their own AI to work if their organisations did not officially sanction it.’ Employees are increasingly turning to AI-driven event marketing strategies, especially in the world of events, it’s not just the future of event marketing – it’s the present. In this article we explore key topics that cover how AI is altering event marketing.
How can AI create personalised event experiences
AI is able to assist with personalised recommendations to further enhance attendee experience, so that event planners can create a truly unforgettable experience. Every element of the event can be tailored according to the individual preferences, from the initial marketing and sign-up process, through to interactions on the date, and importantly, post-event communications.
By examining data on attendees past behaviour and interests, AI algorithms can create marketing campaigns that are targeted to attendees to enhance the sign-up / registration numbers. AI can then suggest relevant networking opportunities tailored to individual preferences. Agendas, sessions, interactive activities can be customised based on this information, providing targeted content to boost engagement and attendee experience.
AI can also analyse the attendees likes and dislikes during the event, which can help tailor post-event communications, as well as provide valuable insight for future events. AI can also gather data on likes, dislikes and interests from the event, which can help event planners create targeted post-event communications. This can help build relationships with attendees and provide valuable information for CRM databases.
Predictive analytics for better event planning
Planning an event means there are lots of elements moving at the same time. AI can help to alleviate some of these tasks by automating communication with attendees using tools such as chatbots or virtual assistants. Predictive analytics in event marketing can help planners to react to attendee needs and requirements to ensure a well-executed event that caters to attendee’s needs. It can also help planners to forecast attendee numbers and identify any issues before the event so that resource can be allocated appropriately. With the help of AI tools, FAQs can be answered quickly and efficiently, too. Tasks like this would normally be taken up by admin staff, but with the help of chatbots, admin staff can focus their energy on other elements of event such as deal with more complex queries or tend to other key admin roles.
Ethical Considerations of AI Use:
Discuss privacy concerns, data usage, and how to ethically implement AI in event marketing.
With AI becoming part of the event management process, there are a host of ethical and privacy concerns that naturally come with it.
Data usage and collection
It’s important that your attendees are clear on how their data is being used as well as ensuring that sharing is compliant with privacy laws and regulations. Attendees must be aware that their data is being collected, why it needs to be collected and for how long the data will be stored.
Retention and deletion of data
Clear policies on data retention and deletion following an event is necessary to protect the privacy of your attendees.
Ethical considerations
AI algorithms are trained on different data that may contain biases. An example of this is if a dataset has more transactional behaviour from a certain demographic, the algorithm might market away from groups. This could mean ads that are targeted to a certain gender or ethnicity. This can naturally damage the reputation of a brand or business and lead to legal implication. This can also be an issue if the training data isn’t diverse or if the trainers have their own biases, which could cause further discrimination.
In any case, it’s important to always be open and accountable with attendees about the use of AI and its purpose. Having a person involved is always good for dealing with important issues. Try to only collect data that is needed for AI and ensure you have consent from attendees before using their data, it’s always good to anonymise if possible. Finally, ensure that your AI systems and tools are constantly being audited to check for any biases, as well as built to be accessible and inclusive.
How AI can reduce event waste
AI is playing an increasingly significant role in helping event planners to be eco-conscious. Here’s how:
Reduce energy consumption
Control heating, lighting and air conditioning based on the number of people in a room at a time to help lower energy consumption.
Manage waste
Reduce potential waste by highlighting the recyclable and non-recyclable materials. This can also help you to allocate your resources more accurately.
Transportation
Optimise logistics using AI by analysing attendee locations, travel patterns and traffic conditions. This can help event planners promote public transport where possible and other sustainable travel methods.
Venue selection
AI algorithms can review different factors such as water consumption, waste management practices, and provide recommendations for the most sustainable venue option. Within this, AI can help to ensure space utilisation in the venue to help create efficiencies
Food and drink management
By analysing past data on attendee preferences, the consumption of food and drink patterns can be analysed to ensure event planners are ordering more accurate amounts, therefore reducing food and drink waste, as well as unnecessary orders and preparation.
Conclusion
AI is growing in the event industry, and its tools can offer us a way to streamline logistics and planning for event managers. At Whitespace, sustainability isn’t just a metric, it’s a mindset and integrated into our business strategy.