Online gaming and betting solutions provider Soft2Bet is gearing up to showcase its MEGA gamification solution at the upcoming BIS SiGMA Americas Summit in Sao Paulo, Brazil, to be held from April 23 to 25.
The Latin American continent is the focus of much industry attention currently and as Brazil prepares to officialise its online betting and gaming regulations, industry stakeholders are converging on the region to discuss licensing, industry trends and how to make the most of the potential on offer.
In this context, the BIS SiGMA Americas Summit is set to bring together more than 10,000 delegates and 200 high-profile speakers. Nicolas Campano, Soft2Bet’s Sales Director LATAM, will be there to meet and discuss with industry leaders on Thursday 25 April and take part in a panel on how gamification can unlock player loyalty and help operators realize Brazil’s gaming potential.
Many Latin American markets have been regulated recently, or are about to in the next few months. The ability to work and advertise legally and openly in major countries like Argentina, Colombia or Mexico and Brazil (very soon) is a fantastic opportunity, the company said in a statement.
Soft2Bet said it is “excited” at the prospect of showcasing its high-performing platform and its Motivational Engineering Gaming Application (MEGA), billed as “the leading gamification solution in iGaming.”
Nicolas Campano said: “The BIS SiGMA Americas Summit is another fantastic opportunity to strengthen existing relationships in Latin America and it will also be a great meeting point to meet new contacts and pursue new business avenues.
“Brazil is the focus of much attention, but there is much activity in those major markets that are Colombia, Argentina or Mexico. I am confident the BIS SiGMA Americas Summit will be another great event where Soft2Bet will develop strong business and commercial links.”
Original article: https://www.yogonet.com/international/noticias/2024/04/05/71599-soft2bet-to-present-its-mega-gamification-solution-at-bis-sigma-in-sao-paulo
