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Future Anthem strikes personalisation AI partnership with GiG

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Future Anthem strikes personalisation AI partnership with GiG

Collaboration between Anthem and leading igaming casino platform and sportsbook provider to enhance player engagement through Amplifier AI’s real-time personalisation.

Future Anthem, the pioneering AI and data science powerhouse, has announced a partnership with Gaming Innovation Group (GiG).

The collaboration brings advanced AI-driven personalisation to GiG’s extensive network of partners across both sports and casino platforms, aligning with its vision of offering the best player experiences by leveraging Future Anthem’s flagship product, Amplifier AI.

Starting with the implementation of the Churn Prevention module for casino operators, this partnership aims to reduce player churn and enhance engagement through real-time, AI-driven personalised interventions that boost retention.

Amplifier AI, already integrated into GiG’s platform, ensures a swift enablement process, allowing GiG customers to quickly reap the benefits, which include revenue growth through amplified conversion rates and an optimised player experience as a result of tailored recommendations and personalised communication.

Andrew Cochrane, chief commercial officer at GiG, commented: “Partnering with Future Anthem provides further evidence of our continued commitment to driving growth and innovation, expanding our partners’ access to the industry’s leading technologies and delivering best-in-class solutions worldwide.”

Leigh Nissim, CEO and founder of Future Anthem, added: “We are thrilled to collaborate with an industry leader like GiG. This partnership not only highlights our shared vision for innovation but also showcases our ability to deliver quick and impactful AI solutions.

“With Amplifier AI, GiG’s customers can look forward to improved player engagement, reduced churn and increased revenues.”

For more information on the power and capabilities of Amplifier AI, book in a demo: https://www.futureanthem.com/book-demo

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