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It was not the first time Grasso had returned campaign money from Rovito.
The restaurateur donated $5,000 to Grasso’s unsuccessful 2018 campaign for Illinois attorney general in November 2017, but Grasso returned the money the following month after a TV station questioned the contribution, according to Patch.
Grasso was quick to defend Rovito following his arrest, describing him as “a stellar corporate and residential citizen” who has “a YouTube following of a quarter of a million people or something like that.”
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If Bernstein’s $10 trillion prediction market turnover forecast is realized or exceeded, it’d likely prove significant in revenue terms because the research firm previously estimated that $1 trillion in yearly activity could generate as much as $10.8 billion in revenue for operators.
As has been widely documented, sports event contracts are currently the lifeblood of the prediction market industry, but Bernstein notes that won’t be the case on a permanent basis. In fact, the research firm estimates that sports derivatives’ share of industry volume will decline to 35% in 2035, indicating that the aforementioned volume increase will be led by other categories.
The research firm estimates that by 2035, financial derivatives, including event contracts linked to commodities, cryptocurrencies and stocks, will account for 49% of turnover on yes/no exchanges, topping sports to become the largest volume driver. The research firm sees event contracts tied to key performance indicators (KPIs) leading the charge.
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The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.
“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”
For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.