Blockchain OR
distributed ledger technology

Distributed Ledger Technology (DLT) gives control over all information and transactions registered in the ledger to the users, promoting transparency in the processes. This technology also minimizes the time spent in an operation to minutes, and they are processed 24 hours a day, seven days a week, saving billions of dollars around the world.

Blockchain is a DLT, but not every DLT is a blockchain. Similarly, both require decentralisation and consensus between nodes belonging to the same network. However, the blockchain organizes the data into blocks and updates the entries using an attachment structure.

Thus, a blockchain is a growing list of records. Due to its structure, it is impossible to change or delete data already inserted in the previous blocks. Blockchain technology is, therefore, suitable for recording events, managing records, processing transactions, tracking assets, and voting.

In turn, DLTs, in general, dramatically reduce the cost of trust by mitigating our dependence on banks, governments, lawyers, notaries, and employees responsible for regulatory compliance.

The great innovation of DLTs is that there is no central authority keeping the records. Entry updates are built and registered by each network node independently. The nodes then reach consensus on a transaction or update automatically by a consensus algorithm. Besides, on a traditional blockchain, the entire network sees all transactions, while on a DLT, this need not happen.

DLTs, broadly, and blockchains, specifically, are conceptual advances in information management and can be expected to find applications in all economic sectors.

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Distributed Computing

The concept of Distributed Computing is broad. In general, it consists of operating as a single system several software components that are on different computers, which can be both on the same local network or in different parts of the world. The idea is to make the network work as a single computational entity.

Among the advantages of Distributed Computing, the main ones are scalability and redundancy. The first implies that the system can be easily expanded to more computers if demand so requires. The second means that if a machine becomes unavailable due to whatever reason, the service as a whole will not stop.

DHTs (Distributed Hash Tables), distributed databases and distributed workflows are examples of Distributed Computing applications that have broad applicability in industry and business.

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Artificial Intelligence
and Machine Learning

Artificial Intelligence studies ways to create machines and software that mimic human intelligence to solve problems involving complex information processing. Thus, we develop systems capable of reproducing tasks such as perception, learning, and reasoning or decision making.

Machine learning, on the other hand, is a form of AI in which a computational algorithm creates learning models for solving problems from data. These models are "trained" with large volumes of data and used to predict results, trends, and standards. The higher the amount of high-quality data, the better the models will be. Here, you can see the excellent synergy with Data Science, which can do a previous analysis on the database, separate the most relevant data for solving problems, and prepare the ground for the AI ​​algorithm.

Examples of applications in industry and business are:

  • Image recognition;

  • Customer retention;

  • Diagnostics;

  • Market forecasts;

  • Survey of attributes;

  • Attribute visualization;

  • Recommendation systems;

  • Customer segmentation;

  • Real-time decisions;

  • Navigation;

  • Constant learning tasks;

  • Knowledge acquisition.

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Data Science

Data science is the science of understanding, processing, and extracting information and data value to recognize and determine standards for decision making.

The nature of the data can be financial, behavioral, social, economic, or scientific. Also, the data can be structured or not. The BBChain team has highly qualified scientists and researchers in the analysis, interpretation, and communication of data.

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Training

We offer training for our customers and employees in various technologies, mainly in exponentials and more modern ones, such as distributed computing, blockchain, AI, among others. These trainings provide a systemic and objective view of a problem, which stimulates thinking “outside the box,” using the techniques learned in solutions and innovations.

Our qualification and training program has professionals with academic, practical knowledge and an innovative vision.

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Founders
at BBCHAIN

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Felipe Chobanian >

In my academic journey, I attended aeronautical engineering courses at the University of São Paulo (campus of São Carlos). I have a bachelor's degree in business administration by Universidade Presbiteriana Mackenzie. I also have a graduate degree in corporate finance and investment banking by Fundação Instituto de Administração (FIA). +

I have over 14 years of professional experience in the national financial market, always working in large market institutions as a manager in the areas of planning and control.

Currently, I am a Master's Degree Candidate in Artificial Intelligence (Explainable AI) by the Polytechnic School of the University of São Paulo. As an aside, I was the operational coordinator of C2D (Polytechnic Data Science Center / USP) from its project design to its launch and the consolidation of its research.

I am also a co-founder of BBCHAIN, Sappya, and FolioChain.

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Rodrigo Bueno >

I am a software architect with experience in developing solutions for the financial market. I worked for three years in the Collection market, developing a Call Center solution for the Multi-cobra Group. For one year, I helped to build the Startup MNIX by developing mobile solutions. +

For four years, I worked on several fronts as a Software Architect at Itaú Unibanco, where projects related to Big Data and Innovation stand out, especially those associated with Blockchain and DLT. In the Blockchain area, I worked on the design and development of projects such as Aciptance, Fingerprint, Club Loan, Chamada de Margem, and other projects with FEBRABAN (Brazilian Federation of Banks).

I was the first professional in Brazil to obtain a certificate in Corda-R3 technology. I also had the opportunity to work at the R3 company in London, developing a high-performance solution using Corda. In 2018, I helped to organize, and I was also a lecturer of the Blockchain Developer course.

I am a co-founder of BBCHAIN, where I conduct Blockchain consultancies for large companies and teach in-company courses on the subject. I am also a co-founder of Mavie, a Health Technology Startup, where I occupy the CTO chair.