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 decentralization 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.
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.
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:
Survey of attributes;
Constant learning tasks;
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.
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.