Wild Roll

How to play Wild Roll

When Cubeia began their AI-journey, the objective was simple.

“When we started this journey, my only vision was: ‘Let’s not be writing code in August,’” Grenstad says.

Cubeia set out to remove coding as the constraint on software development, but in doing so, the company has discovered that coding was only one constraint in a much larger system. As the bottleneck moves, so do the demands on the organisation: towards domain knowledge, product thinking, quality, prioritisation and understanding what customers need.

About Wild Roll

This week, Casino.org reported on Atlantic City’s difficulties in August, where in-person casino revenue slowed 5.5% to $294.9 million.

The Mid-Atlantic struggles weren’t limited to New Jersey, as Pennsylvania revealed today (Sept. 17) that brick-and-mortar gross gaming revenue (GGR) from slot machines and table games totaled $280.3 million.

Pennsylvania casino revenue for August was almost 6% lower than a year ago, when the state’s casinos won $297.7 million from their physical slots and table games. Pennsylvania’s August 2026 struggles came despite the state having one more casino last month than it did in August 2025, as Happy Valley Casino only opened in April 2026.

How to play Wild Roll

The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.

“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”

For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.