Due to the capabilities of both Artificial Intelligence and Blockchain, companies are seeking software and systems that pair the two technologies to provide more value to their brand and products and services. Although the two technologies utilize data differently, when paired successfully, the outcome may be significantly positive for end users and software.
To learn more about blockchain development and the technologies best suited for your business, enterprises may reach out to a local Los Angeles blockchain development company, like SunlightMedia.org.
How do AI and Blockchain Use Data?
The major difference between artificial intelligence (AI) and Blockchain is that blockchain is decentralized, which means that data on the network is from various sources rather than having data being transmitted at a centralized location. While both may use big data to compute solutions, another major difference between the two technologies is that Artificial Intelligence (AI) algorithmic compilations run a different process than blockchain.
In more detail, Artificial intelligence uses machine learning technologies to collect input data to then propose solutions based on the data analyzed. Depending on the scenario, the AI system will run certain algorithms that fit the needs requested. This predictive model may prove to be effective for business models and individual user needs when the programs may automatically detect and deploy needed functions requested by the user.
On the other hand, Blockchain collects big data to run algorithms and cryptography based on existing and new records provided on the network. Unlike AI, Blockchain ensures that all data has value and is used to run algorithms that are accepted by the majority of users and transactions. In this manner, the data is more transparent to other users as the improvised solutions were generated from verified blockchain transitions, rather than one machine using all of the data to propose a solution. Moreover, blockchains can generate a lot of data, for which queries might need to be done to find faults and attacks with the help of complex SQL joins or aggregations. In that case, AI can be useful to improve the efficiency of a query. However, the speed of a query may also depend on blockchain analytics products such as Luabase and dune api.
How to Merge AI with Blockchain for Business
With the appropriate systems in place, businesses may incorporate Blockchain into their Artificial intelligence web, app, and online programs. In summary, Bitcoin is a decentralized digital currency that users may interact with to transfer currency in exchange for products and services. Platforms such as Ethereum, run smart contracts and write programs designed for securely executing commands or transfers while verifying application codes.
While creating the necessary blockchain and crypto systems to run with your current operations is important, businesses may also consider 4 tips for new bitcoin investors in order to remain up-to-date on the latest and trending blockchain and current technologies and markets. In other words, knowing the benefits of blockchain and its uses before improvising custom solutions (find more information about some of them here) for your business may prove beneficial in the long run.
In order to merge AI with Blockchain, businesses may apply smart contract manipulation tools and systems into their operations for enhancing system functionality for end-users. With these systems, Decentralized App (dAPP) developers may access and execute AI models into Blockchain technologies through token payment programs. Depending on the business needs, the program may run requests and functions for users in an automated, accurate, and efficient manner.
As a framework for enabling machine learning into blockchain operated systems, Cortex Virtual Machine (CVM) assists developers with AI integration on a public open source platform. Also known as a decentralized AI Autonomous system, Cortex consists of numerous features for the integration of artificial intelligence into blockchain networks and systems.
The virtual machine uses GPU, rather than the traditional CPU processes, to deploy AI models directly onto the Cortex chain. Due to the systems design to handle above optimal computing power, the Cortex “Synapse” provides AI inferences that determine solutions with accurate success across various servers and platforms. As a result, Cortex systems may utilize machine learning into their smart contracts and dApps to enhance overall output. With contact support and decentralized AI research, Blockchain developers may share different models to improve or expand the Cortex functionalities.
As an AI-based blockchain solution for companies within and outside of the technological sector, SingularityNet offers programmatic systems with AI-based algorithms compatible with different blockchain programs. These applications may be used for enhancing cybersecurity, increasing productivity of transactions across the network, and be modified to adapt to different AI models.
In more detail, SingularityNet offers customized business solutions through the use of AI integration into blockchain oriented smart contracts. Typically, smart contracts undergo a process which confirms deployment; however, these new integrated AI systems recognize familiar patterns and actions between users and actions, which therefore improves efficiency when verifying users, keeping timestamps, accounting transactions on online ledgers, or paring products with a suitable function to expedite business operations.
Thought AI provides businesses with the necessary tools and systems needed to run artificial intelligent programs for different blockchain technologies. By developing a system with enhanced analytical systems, Thought AI may extract necessary information from the network and then deploy AI-based blockchain solutions based on the organization’s goals. The systems used do not require additional application layers to combine logic and data and may perform numerous AI, big data, and blockchain solutions directly from their platform.
For more information, Thought AI systems may devise solutions where systems adapt to data that is constantly changing while following set parameters and guidelines for collecting and extracting information to determine viable solutions for businesses. Projects allocated to Thought AI may consist of leveraging various data consumers, providers, and service providers to better manage, secure, and optimize work processes for the purpose of increasing revenue.
From UiPath, Robonomics AI (RAI) uses an artificial intelligence architecture that incorporates machine learning into their technologies and software to offer advanced solutions for Blockchain systems. Depending on the business model, the system may monitor big data and optimize both blockchain, automation, and AI systems to drive more revenue, set budgeting goals, improve customer satisfaction, or enhance brand value.
UiPath’s Robonomics solutions consist of Robotic Process Automation (RPA), AI digital transformations, Automation services and more. These solutions assist organizations with building dApps for IOT markets using decentralized cloud storage systems which in return, maintain security and performance of technologies incorporated within various software and platforms. In more detail, Robonimics may provide more efficient processes when deploying smart contracts, authentication and verifying transactions and user activities, and optimizing machine learning systems to improve existing business operations.
In conclusion, Artificial Intelligence (AI) systems paired with blockchain technologies offer businesses enhanced solutions that may optimize productivity between clients and businesses. Due to the decentralized nature of blockchain technologies, AI-combined blockchain solutions may increase understanding of consumer and business needs while providing more accurate and personalized solutions needed for increasing businesses productivity and brand value.
Jhonathon Badalof works at Sunlight Media LLC in Downtown Los Angeles, California. As a Project Manager, Jhon collaborates with clients on website and app design and development, marketing, and creative solutions for campaigns. In addition to Project Management, Jhon is a content writer who writes articles that rank well on Google and other social media platforms. His skill sets include social media marketing, eCommerce, brand development, programming, web design, and graphic design.