ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Mission Alignment: Forging Blockchain & AI for Improved Efficiency

Updated on October 21, 2021
JusticeAditya profile image

I did many fail forward experiments to unlock my intellectual energy and hone my writing skills.

Blockchain and Artificial Intelligence (AI) are two incredible innovations paving the way to future. Using them in combination can help enterprises in harnessing more value and bringing new efficiencies. Enterprises can set up distributed computing systems and transform business operations in ways we have never seen before. Cognitive and distributed computing can help enterprises in developing new business models and solving many problems.


What is Blockchain?

Blockchain is an immutable distributed ledger which enables a new type of internet for storing or recording financial information and everything of value. Parties to a contract can use blocks to store data and lineage of records. Each block holds a cryptographic hash of the previous block which changed automatically when any one block is changed. Mutual consent of the parties is needed to alter the information held by blocks. This makes it nearly impossible for the hackers to breach Blockchain.

There are many benefits of this trust-based networking ecosystem. The information is distributed without a single point of failure. The technology is poised to upend the business operations in banking, healthcare, insurance, and many other industries.

What is Artificial Intelligence?

Artificial Intelligence is used in context of those technology solutions or machines that use neural networks and deep learning concepts to perform intelligent tasks. These computing systems demonstrate human behavior. In other words, it is a software that exhibits intelligence to advise humans.

How Blockchain and AI Fusion Helps in Reaching Business Benefits?

AI and Blockchain are two powerful technologies and they can help enterprises in setting up a future-ready IT architecture. Blockchain integration with AI can be a blockbuster proposition for business partners. This combination can help technologies in setting up improved business models, making intelligent predictions, safeguarding intellectual property rights, and accomplishing transparent governance. Business leaders can get access to many business benefits downstream:

Encrypted AI: End-to-end integration between AI and Blockchain ensures high-level encryption of intelligence at all levels. Information stored in blocks can provide high-level security to sensitive data. Processing business critical data will becomes fast and smooth without any friction. This will be a game-changing capability for all industries. Healthcare players can make accurate and faster diagnosis of medical records and scans. Processing insurance and loan documents will become much easier.


Next Level Compliance Management: With Blockchain and AI integration, teams get several capabilities out-of-the-box for compliance management. In conventional computing, businesses spend huge amount of time in safeguarding the sensitive customer-centric data which they collect. The biggest challenge is updating the data security arrangements as hackers continue to envision new methods for intrusion. With Blockchain led AI, Technology leaders don’t have to spend huge money on updating all the security triggers. And only private triggers should be kept safe. Enterprises can maintain a clean lineage of data and adhere to all compliances like General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), etc.

Intelligent Computing: It is true that AI offers many unique advantages, but it lacks trust based computing capabilities. Sometimes, it is hard to understand the decisions made by machines as they are capable of performing large variables independently. Blockchain can help AI in overcoming this weakness. With features like trust computing and smart contracts, it can store data in a lineage and prevent fraudulent transactions.

Information in Blockchain will be help on a datapoint-by-datapoint format. Teams can audit the required information and investigate it proactively. Insurance companies and loan processing companies can feed a year old data into the AI systems and make quick decisions. Blockchain can take AI towards the next level and help AI In gaining the public trust.

Advanced IT Governance: Like AI, Blockchain also suffers from minor limitations. Managing Zettabytes of data in Blockchain can be an uphill task. AI can provide governance mechanism to Blockchain for managing the data. Agents can interact with physical environments in a better way with this advantage.

Conventional computing lacks the intelligence needed to operate Blockchain. AI can deliver the computational force to Blockchain for processing large amounts of data. For example, AI algorithms can be used to mine blocks and verify transactions at accelerated speed. This will help in harnessing more value from the Blockchain.

Distributed Computing: Another emerging possibility of the AI Blockchain fusion is distributed computing. Blockchain can enable a peer-to-peer networking for AI technologies. Data can be fed into Blockchain from a variety of sources and made available for different AI purposes. A distributed computing environment can be set up for stakeholders participating in a peer-to-peer network.

The data becomes less susceptible to natural calamities and threat actors as it is stored in a decentralized system. The data can be preserved in a better way.

Enhanced AI Modeling: AI modeling is heavily dependent on large-scale data streaming. However, during the process, many enterprises feed inaccurate data into the database. This dump data results into malfunctioning of sensors, ultimately impacting the outcome. All this can be avoided with the help of AI Blockchain fusion. Blocks of verified information will ensure that only credible data is being delivered to backend systems. Abnormal datasets can be eliminated on the fly. Teams can build enhances AI models that can improve results dramatically.

Moving Ahead: What Your Enterprise Needs to Know?

Blockchain can provide a robust backbone for AI models. It can simplify learning & decision-making process and reduce operational cost by 70%. The combination will allow start-ups to develop composable services and leapfrog other bigger players in the market. Users can define how a data set should be defined for specific use cases. Machines can understand human behavior and respond faster in a better way.

Both AI and Blockchain are two ingenious innovations which are getting increased market acceptance. These technologies have emerged as one of the most promising technologies of the recent era. They have robust use cases.and they can upend industries in unseen ways. Experts believe that synthesis between both technologies can alter the business landscape in many ways. Using these technologies in combination can have a multitude of benefits. But there is a lack of standards for integrating these technologies into a single unit. Persistent technical problems will impede the adoption of Blockchain & AI. Therefore, caution must be exercised before integrating them at an enterprise level. Inadequate synchronization can have blowbacks.

Blockchain & AI fusion will require a stable foundation that supports core business processes. It is important to compare data centers and evaluate every process & subprocess involved in the system. The framework should have necessary elements like network permissions, colocations, governance, building & facility, compliance and security, service and operations, etc. Impractical misalignment between these elements can adversely impact the business outcome.

Deploying all this is easy but enabling these components will require top to bottom integration. Enterprises will need layered integration or intelligent mesh for leveraging both technologies in combination. There will be many protocols, business rules, and algorithms that also need to be integrated. The next big challenge will be combining these siloed architectures with different architectures and underlying models. All this can be simplified with an enterprise-class integration solution. The right solution can connect technologies in a better way and help enterprises in setting up an overarching business benefits framework.


This website uses cookies

As a user in the EEA, your approval is needed on a few things. To provide a better website experience, uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at:

Show Details
HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
LoginThis is necessary to sign in to the HubPages Service.
Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
AkismetThis is used to detect comment spam. (Privacy Policy)
HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the or domains, for performance and efficiency reasons. (Privacy Policy)
Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
MavenThis supports the Maven widget and search functionality. (Privacy Policy)
Google AdSenseThis is an ad network. (Privacy Policy)
Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
Index ExchangeThis is an ad network. (Privacy Policy)
SovrnThis is an ad network. (Privacy Policy)
Facebook AdsThis is an ad network. (Privacy Policy)
Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
AppNexusThis is an ad network. (Privacy Policy)
OpenxThis is an ad network. (Privacy Policy)
Rubicon ProjectThis is an ad network. (Privacy Policy)
TripleLiftThis is an ad network. (Privacy Policy)
Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
ClickscoThis is a data management platform studying reader behavior (Privacy Policy)