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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
The latest episode of the Talking Events podcast welcomed co-founder and CEO of Grip, Tim Groot.
The company launched in April 2015 and built the first artificial intelligence (AI) powered event matchmaking system, and has subsequently worked with some of the world’s leading meeting, exhibition, and conference organisers to help connect their attendees in a more effective way.
The Grip service is available via dedicated apps, but Tim explained to the podcast that the provider has recently introduced its own API, giving third-party events apps the ability to integrate Grip’s engine and deliver smart, intelligent matchmaking to their audience.
During an in-depth quizzing about how AI can be deployed within events, Tim firstly explained the basic principles of the Grip system.
“Artificial intelligence is about the component of reasoning. It takes data as an input and is able to reason and form actions based on that reasoning. In our case, we take people’s networking behaviour within the app and their social profile and based on that, our system then reasons what it thinks is going to be the users networking intent and what it wants to achieve at an event […] That’s what we use to recommend the right people.”
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