Pinata Wildz

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Bitcoin SV Hackathons – There are a number of hackathons each year. If you’re familiar with the hackathon concept, they’re just like the rest. Developers are given a certain amount of time and parameters to develop an application. The application judged the best will win a prize which is usually BSV and fame and glory. They offer assistance to Ethereum and non-blockchain developers looking to build on Bitcoin SV.

The following are a set of articles that discuss some of Bitcoin SV’s capabilities and offer some real-world business use cases. Most of these are specific to the gaming industry but there are a couple that are more generic but highlight BSV’s benefits.

How Bitcoin SV provides data ledger for Internet of Things – The Internet of Things depends on fast, unfailing data. This recap from a CoinGeek Live 2020 presentation explains how the Bitcoin SV’s low transaction fees allows that data to be stored on the blockchain for minimal costs.

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A similar scenario is playing out on the back of the MLB index introduction. Both LeagueShares and RexShares filed plans for ETFs tied to the FutureSports MLB indexes.

If approved, the funds would hold baskets of the CME-traded derivatives. LeagueShares went a step further by adding a filing for 2x leveraged MLB futures funds.

“Of course there’s already a filing for daily leveraged futures baseball ETFs — which are basically the equivalent of a corked bat with eight holes drilled in the handle that’s been dipped in pine tar,” wrote Ben Johnson, head of client solutions at Morningstar, on X.

How to play Pinata Wildz

That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.

However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.

The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.