About this app
How to play Recycle Riches
The Bills opened their season beating the Texans in Houston 36-31, then followed that up with Thursday night’s (Sept. 17) big 41-31 home win over the Detroit Lions. Both games went over the total, and neither was particularly close.
The Bills play next Sunday (Sept. 27) at home against the 0-2 Los Angeles Chargers, with a 1 p.m. EDT kickoff.
We’ve already gotten money on the Bills against the Chargers, and of course the fact the Chargers lost to the Raiders yesterday (Sept. 20) 26-14 doesn’t help matters for people wanting to bet against the Bills,” Scucci explained. “So that’s all the more reason why we are seeing the money on the Bills. They’re going to be betting against the Dolphins every week, too.”
What is Recycle Riches?
I may have started life in the industry as an outsider, but that is far from the case now. Those initial conferences were frightening, but they pushed me to meet people, and what I discovered was an industry built on community.
Now, when I attend conferences, I look forward to seeing people I genuinely consider friends, not just business contacts. One such friend is Gali Hartuv, CEO and co-founder of WarriorLab. We met at a conference and immediately hit it off. We now host regular monthly webinars about the iGaming industry,
I have also been impressed with the number of like-minded, empowered female CEOs and leaders I have met. I was recently added to a WhatsApp group exclusively for C-level women in iGaming. When I joined, there were already 150 women in the group, and I was told it started at just 20.
What is Recycle Riches?
“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.
“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”
