William Simonin is the c-founder of Ta-da - a data platform for AI. Projected to reach $109B by 2032, the data collection market is primed for disruption. Ta-da offers high-quality data at lower costs, outperforming outsourcing and micro-tasking companies with a hybrid model that ensures quality, cost-effectiveness and scalability.

Data is the new oil. Several growth factors are present in the data market, one of them being artificial intelligence, a big consumer of data. By 2032, the data collection market will experience a Compound Annual Growth Rate (CAGR) of 25%, meaning that the market will grow from $63 billion to $109 billion dollars. Ta-da is innovating an old data collection technique, crowdsourcing, to collect and validate data through their community, at a price you choose. Ta-da specializes in Voice Recordings, Images, Videos, Text, and labeling to cater to user data collection needs. Companies can get more accurate AI models with custom datasets at a fair price.

Although the data collection market is promising, it still relies on mechanisms and technologies that can be improved. There is a market with great potential which is still based on outdated processes.

In this context, Ta-da aims to become the first decentralized web3 micro-tasking data collection platform on the blockchain.

Ta-da is a solution that enables cost-effective, high-quality, and diversified data collection. Their web and mobile application allows users to provide data that meets precise criteria through our clients. Ta-da offers flexibility by enabling companies to specify and customize their requirements in detail.

The Ta-da platform promises traceability of the production and verification process, as well as fair remuneration of the community via its TADA token. Their goal is to establish Ta-da as the standard for data collection.

Ta-da

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Josh Olszewicz, renowned crypto trader and technical analyst, joins Andy to celebrate the 500th episode of the Crypto Conversation.

Andy and Josh discuss Bitcoin, alts, American politics, memecoins, and Josh explains why he is serious about his $333k by July 2025 Bitcoin price target. It’s the 500th Episode of Crypto Conversation, thank-you so much for listening!

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Rossen is a core contributor at Azuro, an infrastructure/liquidity layer for on-chain predictions. It utilizes a new Liquidity Pool design, the Liquidity Tree, which creates and maintains market liquidity.

Azuro is an infrastructure/liquidity layer for on-chain predictions. It utilizes a Liquidity Pool design, the Liquidity Tree to create and maintain market liquidity.

The Azuro Protocol is a decentralized protocol that enables peer-to-pool prediction markets without intermediaries. It's built on EVM-compatible blockchains and consists of several smart contracts that handle different aspects of the prediction process, such as liquidity pools, odds, live betting, and payouts. The protocol uses a hybrid oracle/ automated market maker solution to determine the odds of different outcomes and to ensure that the process is fair and transparent.

Azuro supports thousands of sports markets and other games, plus a rich feature set, which can be utilized by anyone permissionlessly for the creation of apps, embedded integrations or derivative products.

The human desire to take risk for a gain is more widespread than ever. A generation of degens within and outside of crypto is here. A bet was one of the first forms of contract used by ancient people.

Azuro enters the space with the mission to break down the barriers, creating a protocol dependent on community participation and ownership. A piece of critical on-chain infrastructure which acts as a black hole for liquidity for decentralized predictions and gaming.

Azuro’s approach to concentrating liquidity can deliver much deeper liquidity vs any centralized options. Azuro's tooling and oracle solutions can be utilized by any blockchain, starting with EVM-compatible ones. Azuro's open design will allow anyone to launch a prediction site/app with no upfront costs and zero risk management capacity needed.

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