Arabian Nights

What is Arabian Nights?

In fact, behind those brands, a whole new sector is taking shape. Data and streaming suppliers, specialist market makers and technology companies are quickly invading the space.

The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.

James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.

What is Arabian Nights?

As of today, submissions for the 2026 iGB’s Most Influential Women list are open! We are once again looking for nominations that highlight all facets of the sector, and the women who are championing change and acting as leading forces within their company, or the sector more broadly.

Please provide as much detail and insight as possible on the person/s you are nominating. The more information and background we receive, the clearer the picture of their career and achievements can be.

While it’s tempting to use AI to help you write a submit, we please ask that you avoid doing so, as once again, the more personal an entry is, the better we can judge it across our key criteria.

What is Arabian Nights?

The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.

For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.