Thought Leadership

Ai’s Thought Leadership section is our way to keep you informed and inspired!

Travel and flying are (usually!) all about fun. And airlines, along with various stakeholders, strive to sustain the joy of flying and travel.

But keeping pace with today’s consumerism is complex. Today the blend of technology, content, data, analytics and cloud promises to transform the experience of flying.

Our editorial covers loyalty, ancillary merchandising co-brand cards, payments and fraud. You can click on any of the sub menus to have quick access to all our articles in these areas.

Count on us as your resource for everything from high-level insights to articles gauging the pulse of the travel industry.

Be it for the next idea, embracing change in this dynamic and unique industry, targeting new sources of revenue, combating fraud or delivering a superlative experience, Ai’s articles touch upon such relevant areas.

We are also open to suggestions/ feedback.

We intend to nurture a platform for a constructive dialogue that results in customer-centricity.

If you are fond of Tweeting, then you can follow our official Twitter account - @Ai_Connects_Us

Happy travelling

The Ai Team

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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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