The playbook was created by the team behind Anthem’s market-leading personalisation product Amplifier AI and breaks down the key steps that sportsbooks should work through to move artificial intelligence off the roadmap and into players’ hands.
Future Anthem CEO Leigh Nissim said: “We have witnessed a meteoric rise in the use of artificial intelligence in entertainment with the likes of Spotify, Netflix, and Amazon all offering ultra-personalised experiences, creating super-high consumer expectations.
“There’s no doubt in our minds that the sports betting industry is next – the sector sits at the perfect intersection of media, leisure, and e-commerce. The race to real-time personalisation is on – we’re urging sportsbooks to get ahead of the pack with this playbook to find out how they can win.“Our ambition was to create a practical guide filled with highly specific and actionable tips and tactics, that can be easily incorporated one step at a time. We are confident that our brand-new playbook will help guide decision-makers across the industry in adopting AI into their daily operations to navigate this new journey with confidence.”
The playbook goes into great detail as to how AI boasts a proven track record of achieving uplifts in every step of the player journey, leading to increases in NGR, player retention, and open rates.
Furthermore, Anthem has drawn upon its expertise and knowledge to guide readers on how to best implement AI into their own sportsbooks. The good news, it’s much simpler than it might appear.
In the last year alone, Future Anthem’s Amplifier AI has processed roughly 700 million sports bets across a multitude of diverse behavioural profiles, countries, and platforms.
Working closely with leading operators, Anthem has observed a meteoric rise in the use of artificial intelligence as more and more sportsbooks are taking progressive steps to utilise their data and the latest AI technologies in real-time to personalise player experiences.
This step-by-step approach covers every key aspect of the process from start to finish including aligning AI to the present strategic objectives, identifying successful use cases with the quickest return, measuring effectiveness, building a business case for your CFO, and choosing whether to build or buy.