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PlayAIO's Joshua Gibbs: The problem is not how much data operators have, but what they choose to measure
Joshua Gibbs, Co-Founder and CEO of PlayAIO, examines how disconnected KPIs, poor retention and fragmented reporting can distort commercial decisions, and why AI cannot compensate for a lack of business-specific context. Rising customer acquisition figures can conceal a more costly problem: players who leave before operators recover the expense of attracting them. A marketing campaign may appear to be underperforming when the real issue is a failed deposit journey. Both illus


The Operational Limits of AI: What Sportsbooks Must Control Before Automating Customer Decisions
Adam Lewis, CEO of AxiumAI, examines the technical, commercial and regulatory challenges of real-time sportsbook personalisation, from unreliable live data and automated content validation to proving incremental revenue and retaining human oversight. Automating sportsbook engagement is one thing. Proving that AI generates incremental revenue while keeping customer communications accurate, compliant and consistent with safer gambling obligations is another. Delayed data feeds,


Where the Feed Ends and the Model Begins
OpticOdds' Matt Restivo on accountability, freshness discipline and what changes when institutional betting data reaches readers who cannot interrogate a number. A consumer asks Perplexity Computer where a line has moved. The product calls OpticOdds, and a model turns the feed into a sentence. OpticOdds owns the price. Perplexity owns the wording. The join between them is where accountability is least defined, and it is now exposed to readers with no habit of checking whether
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