About Ai | Airline Information

Ai is an established leader and innovator in commercial aviation conferences. Since 2005, Ai has hosted thousands of airline and travel professionals at the company’s groundbreaking conferences, forums, workshops, webinars and networking events.

We are also home to the airline and travel industry’s most forward-thinking research in loyalty, ancillary merchandising co-brand cards, payments and fraud.  Airline and travel professionals, marketers, investment firms and industry suppliers turn to Ai for the latest trends, advisory and industry guidebooks.

Relationship equity

Every year over 200 international airlines attend events managed by Ai, and over ninety percent of the airline industry's fortune 500 suppliers depend on Ai to connect them with the industry. Our record of revenue and market share growth in every year of our existence makes us a stable partner for business development through our highly developed conferences and advisory services.

Ai maintains a highly experienced international team of professionals skilled in conference planning and airline commercial affairs. Ai is a privately held company registered in the state of Florida in the United States of America.

Editorials

  • Ai Editorial: How safe are ecosystems such as Amazon and Alibaba from the threat of ATO? +

    First Published on 21st June, 2018 Ai Editorial: What makes account takeover an even bigger threat for organizations is that an increasing number of enterprises are building online ecosystems, as Read More
  • Ai Editorial: Counting on user interface level API to optimize conversion rate +

    First Published on 18th June, 2018 Ai Editorial: Travel e-commerce players need to optimize their respective APIs, assessing aspects such as user experience, design, usage guidelines etc. to come up with Read More
  • Ai Editorial: Time for airlines to leverage both supervised and unsupervised ML for curbing fraud +

    First Published on 14th June, 2018 Ai Editorial: Deploying a multi-disciplinary approach combining different technologies - both supervised and unsupervised machine learning (ML) -  would better equip merchants to deal with fraud Read More
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