Bragg Gaming Group Leaps into ‘AI-First’ Future with Golden Whale Partnership
- Partnership serves as a foundational step in building the Bragg AI Brain
- Sets new industry standard by deploying advanced predictive machine learning to optimize player engagement
- Designed to validate and deploy the most accurate predictive models in the market
This collaboration directly supports the Company’s current strategic objectives of utilizing artificial intelligence (“AI”) to drive cost efficiencies and improve operational excellence and marks a major milestone in Bragg’s roadmap to becoming a fully AI-First company by 2027.
As part of the agreement, Bragg will leverage Golden Whale’s advanced machine learning and proprietary AI models, called Foundation, to enhance the predictive intelligence capabilities of the Bragg Player Account Management (PAM) platform.
As a direct benefit of this partnership and a crucial value differentiator in the market, all Bragg's current and future platform customers will have the ability to see the benefits of AI-powered predictive intelligence first hand through a proof of concept - proof of value type engagement.
This will provide the clearest illustration to partners that the system is robust and can meet any demands made - representing a crucial operational advantage which can be leveraged by the Company in its 30+ regulated markets.
Building the Bragg AI Brain
“This partnership serves as a foundational step in the development of what we call the Bragg AI Brain, a data-driven artificial intelligence engine designed to power smarter decisions and intelligent products across the Bragg's Ecosystem,” commented
By integrating Golden Whale’s specialized modeling, Bragg aims to enrich its Predictive Intelligence Layer, enabling the automation of complex workflows, optimization of player incentives and the delivery of hyper-personalized player experiences.
"Partnering with Golden Whale is a major step forward in our strategy to maximize the value of our player base," said Matevz Mazij, Chief Executive Officer at Bragg. "As we move to reinforce Bragg’s roots and provide long-term business stability, this partnership allows us to further leverage technology efficiencies through the greater proliferation of artificial intelligence. By fuelling the exploitation of AI-led technologies, we are creating opportunities to reduce costs and foster greater improvements to our operational leverage, ensuring excellence across the business."
Data-Driven Operational Excellence
The initiative is designed to validate and deploy the most accurate predictive models in the market. Rigorous testing and data modelling approaches aim to achieve precise forecasting in key metrics, including predicting revenue potential at 30-day, 90-day, and 1-year intervals. Furthermore, the system will identify player departure probability windows at 3-day, 7-day, 14-day, and 30-day markers, allowing for proactive retention strategies. These insights will be integrated into Bragg’s operational platform, empowering marketing and operational teams with real-time, actionable data.
“This will allow for the deployment of automated, personalized and most relevant retention and reactivation campaigns and recommendations, directly addressing the Company's objective to increase proprietary content revenue and expand revenue contribution through optimized partnerships,” added Mr. Mazij.
Eberhard Dürrschmid, CEO of
Cautionary Statement Regarding Forward-Looking Information
This press release contains "forward-looking information" and "forward-looking statements" (collectively, "forward-looking statements") within the meaning of applicable Canadian and
These forward-looking statements are based on reasonable assumptions and estimates of management of the Company at the time such statements were made. Actual future results may differ materially as forward-looking statements involve known and unknown risks, uncertainties, and other factors which may cause the actual results, performance, or achievements of the Company to materially differ from any future results, performance, or achievements expressed or implied by such forward-looking statements. Such factors, among other things, include the risk that the Proof of Concept (POC) with Golden Whale or other AI vendors does not yield the predicted results; technical challenges in unifying data sources or integrating the "Predictive Intelligence Layer" into the existing PAM and RGS ecosystems; regulatory hurdles in new markets, or changes in AI governance and compliance standards; and commercial risks related to the acceptance of AI-driven products by operators and players.
Although the Company has attempted to identify important factors that could cause actual results to differ materially from those contained in forward-looking statements, there may be other factors that cause results not to be as anticipated, estimated, or intended. There can be no assurance that such statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking statements. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.
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