Customer expectations in various industries, including events and exhibitions, radically shifted last year when live events businesses adopted virtual events as their primary marketing platform. There is an increasing demand for event organizers to include contemporary technologies with real-time reactions and enhancements to engage customers and offer immersive, personalized experiences.
You will need to rethink your existing strategy and make long-term investments in digitalization, AI, and automation to come out of the pandemic stronger and leaner.
The change in customer service is fueled by artificial intelligence (AI), which has become an essential tool. With the help of AI and machine learning, it is now possible to analyze and forecast attendees’ levels of engagement, make recommendations based on audience preferences, connect with consumers automatically, and much more.
Here are three ways artificial intelligence can change how attendees participate in online events:
AI-powered matchmaking for networking
The two greatest difficulties that event planners encounter when hosting virtual events are audience contact and engagement, according to the B2B growth marketing blog. Much of it is caused by virtual events frequently reporting prominent attendance figures, complicating the signal-to-noise ratio or the beneficial connections for attendees.
Your participants will therefore need to cut through the clutter and connect with relevant people, products, and content that could result in profitable business partnerships.
You may customize recommendations for participants using AI-powered matchmaking services based on their provided data, such as their areas of interest, geography, and level of professional experience. This promotes meaningful contacts, strengthens peer-to-peer networking, and harmonizes corporate objectives.
What makes AI matchmaking so great? The algorithm will continue to tweak and advance until a suitable connection is made if the user decides the match is inappropriate (using a thumbs-down option).
AI-driven analytics and insights to improve interactions
AI can increase audience engagement and provide essential help without human involvement by analyzing real-time interactions. In contrast, typical analytics merely review the material after the event concludes to discover what worked and what didn’t.
You may measure virtual foot traffic using AI algorithms to see which resources are hitting their goals or which touchpoints are getting the most attention. AI can respond to queries like these by examining the various elements impacting attendance behavior and analyzing numerous simulated scenarios.
• Is the content being delivered relevant to the audience?
• How well are the avenues for meetings and communication being used?
• Are the intended attendees being identified?
Conversational marketing and language translation using AI-powered chatbots
Engagement in virtual events can be considerably increased with a scalable, approachable conversational AI solution with chatbots and language translation capabilities.
Instead of being a FAQ tool, it can automate customer assistance by encouraging conversations on hundreds of industry-specific topics. For instance, having a virtual agent who can respond to inquiries and provide pertinent information is helpful if the event involves banking and financial services with complicated product offerings.
Any event communication, web pages, and content resources can be instantaneously and accurately translated into other languages using AI translators.
This makes your virtual event more appealing on a worldwide scale and aids in expanding your audience’s cultural reach.
How to use AI to elevate online meetings?
With greater development, AI has the potential to advance internet video conferencing. The four methods for using AI to improve virtual conference rooms’ intelligence, effectiveness, and security are listed below.
Noise Suppression
Background noises like typing on a keyboard, slamming doors, dogs barking, or a noisy HVAC system can be distracting and make it difficult for participants to follow the dialogue during an online meeting. Fortunately, machine learning algorithms have already been trained to recognize and reduce background noise, greatly enhancing the video conferencing experience.
Google has launched a noise-suppression function for its Google Meet service driven by AI in recognition of the value of high-quality video calls. This feature, the denoiser, cleverly filters out background disturbances to make a virtual conference more productive. To stay competitive, Microsoft uses real-time noise suppression in its Teams meetings.
Speech Recognition
Speech recognition is another AI feature that can significantly improve the experience of online meetings. AI-powered algorithms may provide meeting transcripts and live captioning by precisely transcribing spoken language, obviating misunderstandings.
A speech-to-text transcription startup called Otter is moving in that direction significantly. A brand-new live video captioning feature has been introduced for Zoom video conversations and webinars.
The conference is now more accessible to people who are deaf, hard of hearing, or do not speak English as their first language; this collaboration also results in a helpful meeting transcript.
In-Meeting Digital Assistants
Conversational AI has already entered our daily lives. Voice-powered assistants are now figuring out how to replicate Alexa-like interactions in business collaboration. AI-driven digital assistants may pull up the most recent contact information, help attendees join or leave an event, and notify users of upcoming meetings, which makes the experience simple and relieve the planner of some administrative duties.
Cisco is leading the way in transforming business communications with cognitive collaboration technology. A personal in-meeting helper, Webex Assistant, uses artificial intelligence (AI) and natural language processing to aid with notes, highlights, follow-ups, and other tasks.
AI-Powered Analytics
Advanced analytics, strength of AI, can also be employed to increase the dependability of an online conference. AI-driven predictive analytics solutions can provide real-time performance updates, identify anomalies, and anticipate performance degradation by continuously monitoring networks and endpoints. This enables IT specialists to intervene before meeting attendees are harmed by a poor connection or other technical problems.
Also, by monitoring digital interactions and who is speaking when during video conferencing, conference room analytics can help monitor audience participation. Incorporating AI-powered emotion analytics may uncover more nuanced data and learn more about each attendee’s behaviour.
AI saves your team valuable time and resources by automating responses to frequently asked questions and enhancing audience interactions, allowing them to concentrate on other vital event areas. Virtual events are anticipated to be a major marketing channel; thus, it makes sense for businesses to invest in AI-powered solutions and provide more exciting attendance experiences.
