Sportel Executive Director Marine Picoulet discusses the 2026 Monaco conference agenda, which focuses on AI integration, B2B2C business models, and a new CMO brand program. The organization also announced its expansion into North America with the inaugural Sportel Canada event scheduled for March 2027 in Toronto.
The focus on B2B2C models at this year's event reflects a maturing sports media market where rights holders must look beyond direct subscriptions to integrated ecosystem plays. By bringing in Qualcomm and AWS to lead discussions on AI and immersive tech, the conference is positioning technical infrastructure as the primary driver of rights valuation rather than just a delivery mechanism. This shift suggests that future media deals will increasingly depend on a platform's ability to provide deep data integration for sponsors and betting operators. Watch for the initial response to the Toronto 2027 announcement as a bellwether for European sports tech expansion into the North American market.
The Sportel Monaco 2026 conference is shifting focus from generative AI experimentation to full-scale integration in content creation and fan engagement. By introducing a CMO Brand Programme with Qualcomm, the event aims to bridge the gap between sports rights holders and major brand investors, signaling a move toward integrated B2B2C ecosystem models.
The conference is prioritizing the transition from generative AI experimentation to full-scale integration across content creation and fan engagement, alongside a new focus on B2B2C models.
The CMO Brand Programme is a new initiative in partnership with Qualcomm Technologies designed to create a dedicated track for senior marketing decision-makers to bridge the gap between sports rights and major brand investors.
Yes, Sportel is expanding its North American footprint with a new event scheduled to take place in Toronto in March 2027.
Masterclasses at the conference will feature technical insights from AWS, LiveU, and JioStar regarding remote production and live sports betting data.
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