Blockchain and Artificial Intelligence Today
Blockchain and artificial intelligence (AI) are emerging as the leading technologies driving innovation in the industry. Technological progress brings both opportunities and challenges when it comes to achieving the goal of creating sustainable and smart cities. Driven by significant advances in information and communication technology, the Internet of Things ( IoT) has undergone notable developments in recent years, reshaping areas of human society such as finance, health care, transport, education and entertainment. The reality is that there is potential for ongoing efforts to integrate blockchain into the IoT as well.
Advanced technologies aimed at making AI a reality include machine learning, artificial neural networks, and deep learning. These terms are used today to put theory into practice and to build machines that are capable of performing tasks that seem to require intelligence. AI and blockchain are the two trending techniques in this scenario.
Blockchain — the digital information archiving system
Blockchain is a new digital information archiving system that stores data in an encrypted and distributed register format. AI systems use blockchain to facilitate data exchange across multiple models.
However, blockchain can not only be used to exchange models and data, but can also help fulfill the role of a master brain in a way that can be shared across multiple AI systems. If we combine the advantages of blockchain and AI, it is possible to combine things that learn from their environment and share that learning across AI systems and networks. In fact, blockchain is a register that captures all the data and variables involved in machine learning decision-making. It makes AI coherent and understandable, so that we can understand and determine what decisions the machine learning system makes. Machine learning can keep an eye on what happens in the blockchain.
Why blockchain-implementation can benefit industries with large amounts of data
Blockchain-implementation can benefit industries with large amounts of data that can be accessed by multiple stakeholders. Blockchain implementation also enables the secure transfer and storage of data and streamlines the process of approval and consensus building without bottlenecks. Current consensus mechanisms used on popular blockchains are resource-intensive and can affect the scalability of technology-based solutions. Blockchain technology can help standardize records and harmonize digital platforms and IoT data that can be accessed by multiple parties. Consider, for example, the use of blockchain technology as a means of providing trustworthy data provenance for machine-learning training models. A blockchain ledger can be used as a digital rights management system so that your data can be licensed on your terms and at times to an AI provider. It can also function as an access management system and store evidence of entitlement of companies to access and use user data.
Blockchain actors are empowered to contribute data that is available in a distributed network, and data immutability is a key feature. As AI, IoT, and cloud use blockchains to track the origin, evidence, and permissions of data, and leverage the use of these platforms, trust in data will increase. Blockchain is a key technology for building trust in cross-network transactions, and involvement in AI decision-making is an element needed to achieve the transparency required to trust the decision outcomes derived from AI.
AI as a learning gatekeeper of information
Blockchain technology alone is unable to assess the accuracy of the data that is written into its invariable network (garbage in, garbage out). AI acts as a learning gatekeeper of information entering the network.
In the context of the use of AI and blockchain, it is useful for business leaders to understand how AI blockchain can help them. In the future, it will be common to see cases where AI supports blockchain projects, such as improving scalability and security. Several ways exist for blockchain to improve existing AI projects by helping people and AI better understand certain decisions taken by AI engines and reduce the capital costs of AI services in the market. AI systems can also help keep blockchains secure, reliable and efficient. It is possible that the world of AI and blockchain is full of hype, but there are real, tangible, and realistic ways in which these technologies can be used to benefit others and achieve real results for those who want to implement them in their environment today.
The combination of blockchain technology and artificial intelligence is still a relatively unexplored area. Both blockchain and AI have received their fair share of scientific attention, but projects that address the issue are rare. Blockchain technology secures data in the development and improvement of AI algorithms. The technology allows us to review the intermediate steps AI takes to draw conclusions from data, and allows individuals to monetize the data they produce. Data providers can share their discoveries with a database of AI and blockchain solutions, and it is the community that is rewarded for its contributions to solving problems successfully. A company’s blockchain maintains a register of data vendors that can be quantified using community reputation logs and rewards.
The enormous potential of combining blockchain technology and artificial intelligence
AI allows bots to verify that it is a certified ecosystem, log data into the blockchain and earn botcoins to run applications on the distributed network. AI requires enormous amounts of computing power and ensures that the company has control over the data centers where the blockchain and AI infrastructure runs at optimum efficiency. AI technology benefits from the large amount of IoT data that is provided because AI algorithms learn from data and the more data used to train algorithms, the better the performance of algorithms. AI allows bots to verify that it is a certified ecosystem, log data into the blockchain and earn botcoins to run applications on the distributed network. AI requires enormous amounts of computing power and ensures that the company has control over the data centers where the blockchain and AI infrastructure runs at optimum efficiency. AI technology benefits from the large amount of IoT data that is provided because AI algorithms learn from data and the more data used to train algorithms, the better the performance of algorithms.
A Guide to Modernizing your Company’s Technology – Let’s analyze the positive path towards business innovation. Data source > #PwC #Tech #DigitalTransformation #Innovation #4IR #BusinessStrategy https://t.co/Ko0KoeYQ1G https://t.co/9e9twmddx6
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