Newsazenplay.comNeural-network systems are being used to examine gambling activity for early indicators of potentially harmful play. The approaches analyse signals including session duration, deposit frequency and changes in bet size against individual and broader player patterns.
Covered by New releases on AzenPlay.
Read the full story at the original publisher below.
The iGaming CRM sector is adopting AI agents, model-context tools and custom applications to automate campaign analysis and execution. Industry specialists also stressed that effective AI depends on unified player data, historical activity, real-time behaviour and predictive models.
New York regulators are considering restrictions on operators’ use of AI and automated systems to personalize promotions, bonuses, odds, limits, messages, product recommendations, wagers, or stake amounts using individual customer data. The proposals would also require operators to inventory…
New Jersey introduced mandatory data-driven responsible-gambling requirements for online casino and sports betting operators. Operators must use player activity data to identify potential problem gambling, following scrutiny of personalised marketing directed at a high-value bettor.