DATALAC Technologies

A detailed description of the AI, Big Data, and Blockchain technologies that are central to Datalac, including how they will be used to create value for users and investors.

• AI: AI is applied to classify collected data on datalac.com to create statistical insights. AI is also used to create big graph models based on neural networks of the enterprise datalake, so that data in the datalake can be easily classified and clustered. AI is also used in the personal datalake ZiSan to model the personal AI model of users.
• Big Data: Big Data processing technologies are used in datalac.com and the enterprise datalake to create statistical search engines. Big Data technologies are also used to cross-validate different data streams to verify the authority of data.
• Blockchain: Blockchain technology is applied on the Data To Earn game to maintain a network of data sampling workers who exchange collected data with $DTVN blockchain tokens.
• Users can get value from these technologies by playing Data To Earn to get $DTVN blockchain tokens and by using datalac.com to analyze statistical insights from the social listening module.

Datalac is a company that focuses on developing social, enterprise, and personal datalakes that provide various services to their users. AI, Big Data, and blockchain technologies are at the core of Datalac’s offerings, providing users and investors with value in multiple ways.

AI is a critical technology for Datalac, as it is used to classify and analyze data collected from multiple sources. In the case of datalac.com, AI algorithms analyze data gathered from various social media platforms and news websites to provide statistical insights. The AI technology used by Datalac is also responsible for creating big graph models based on neural networks, which makes it easier to classify and cluster data in the enterprise datalake. Personal datalake ZiSan also utilizes AI to create personalized AI models for users.

Big Data is another crucial technology used by Datalac, as it enables the processing of large amounts of data quickly and efficiently. This technology is essential for creating statistical search engines for datalac.com and the enterprise datalake. Big Data also enables cross-validation of different data streams to verify data’s authority and accuracy.

Blockchain technology is also central to Datalac’s offerings. In the case of the Data To Earn game, Datalac uses blockchain technology to maintain a network of data sampling workers who exchange collected data for $DTVN blockchain tokens. These tokens can then be used to access other Datalac services or traded on cryptocurrency exchanges.

$DTVN Token (Utility) shall be used:

1. To acquire / trade NFT Databot and/or to pay a subscription fee to join the Data-to-earn game.

2. To trade analyzed data products.

3. To reward data miners who join the Data-to-earn game based on a reward mechanism similar to the “Bitcoin Halving”.

4. $DTVN holders will be airdropped partial profit shares from the sales of NFT Databot and/or from the revenue of subscription fees. (the more the merrier)

5. To pay for validating transactions when blockchain mainnet launched.

6. To stake and receive passive incomes. (compounding interest)

7. To govern the project (vote on important decisions, DAO Governance).

Datalac’s users can benefit from these technologies in multiple ways. For example, players of the Data To Earn game can earn $DTVN blockchain tokens, which can be used to access other Datalac services, including the social listening module on datalac.com. The social listening module provides statistical insights on various topics, including product and brand sentiment analysis, trend analysis, and customer segmentation.

Enterprises can benefit from Datalac’s offerings through their enterprise datalake, which enables data integration and analysis across multiple sources. The enterprise datalake also enables the creation of statistical models and prediction algorithms, which can be used to identify market trends and customer behavior.

Personal datalake ZiSan enables users to preserve their personal data while also benefiting from personalized AI models. Users can store personal data securely, such as health records, financial information, and personal documents, while ZiSan creates personalized AI models that can help users make informed decisions about their lives.

In terms of profitability, Datalac’s key revenue stream is the monthly subscription fee from datalac.com users. With an estimated 10K paid users, Datalac could generate an income of $200K per month, which would result in a monthly profit of $150K. The profitability of the enterprise datalake has not yet been calculated, but it is expected to generate significant revenue for Datalac.

In conclusion, AI, Big Data, and blockchain technologies are central to Datalac’s offerings, enabling the company to provide value to users and investors in multiple ways. Datalac’s offerings are designed to benefit societies, corporations, and individuals, and the company is well-positioned to capitalize on the increasing demand for AI, Big Data, and blockchain technologies.