AI and Cryptocurrency – How They Can Work Together Effectively - Global Trade Magazine
  September 16th, 2020 | Written by

AI and Cryptocurrency – How They Can Work Together Effectively

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  • Many businesses, although having ventured on with AI, are skeptical when it comes to conjoining Blockchain.
  • Blockchain can be expanded to virtually record almost anything of value.
  • Considering how much the market is expected to grow, Blockchain and AI convergence are inevitable.

There will soon come a time when artificial intelligence will be running on top of cryptocurrency systems like Blockchains with its capability to increase machine learning capacity and create new financial products. It will take the technology leaps and bounds further in making it one of the mainstream emerging technologies.

According to the research being conducted about the future of AI, the market is estimated to grow to a whopping $190 billion worth of industry by 2025. Considering how much the market is expected to grow, Blockchain and AI convergence are inevitable.

Both the emerging technologies have been around for a decade now and deal with data and value. Where Blockchain enables a secure storage and sharing path of data, AI analyzes and generates significant insights from data to create value.

Having such similarities, there is no doubt that both the technological realms can be merged to create a more advanced and efficient machine learning blockchain system to benefit the masses. Let’s have a look at how Blockchain and AI are a perfect match.

How Blockchain and AI Is the Perfect Match

The following are some key pointers and examples that evidently showcase how combining Blockchain and AI is a consequent step forward in the right direction for increased efficiency and profitability.

Blockchain connecting with the AI basics

Firstly, it is essential to know that most of the hype surrounding startups integrating Blockchain with artificial intelligence is exactly just that, hype. Such companies are far too young and inexperienced in the industry to be talking about a big game. With few clients and less commercialization, it is understandably not possible to carry out such advance convergence.

The majority of such companies have raised money through the initial coin offering or the ICO. This means that the solutions they offer are as thoroughly evaluated as they would have been had the company raised a significant amount of venture capital money.

However, it is quite so possible that these companies may become successful in the future, but until then, they just create useless hype about the advancements in this technology.

Many people limit the usage of Blockchain technology and associate it with just cryptocurrency transactions. As a digital ledger that can record economic transactions, Blockchain can be expanded to virtually record almost anything of value.

There can be both public and private blockchains. Where the public ones are open to the public, the private or ‘Permissioned’ blockchains are restricted for usage by ‘invitation-only’ and mainly used in the corporate environment. This also makes them faster than public forums as the users are mainly trusted and verified personnel making the transactions verifiable faster.

One of Blockchain’s more important features is that it allows even the unrelated parties to carry out a transaction and share data through a mutual ledger. As cryptography validates the transactions, it makes it more efficient for participants not to rely on third-party evaluators to carry out a transaction. Deploying cryptography ensures that data transactions are secure, incorruptible, and irreversible once recorded.

Artificial Intelligence is not a term making rounds for a decade now. It very much comprises of every new technology that has near-human intelligence to carry out a task. AI models are used to assess, understand, classify, and predict using relevant data sets. Machine learning then cleanses the data as it gathers insights creating better useful data sets for use.

As it is evident, data is the central component to AI and Blockchain that allows a secure and collaborative effort towards data sharing. Both Blockchain and AI ensure the trustworthiness of data and extract valuable insights from it.

How Microsoft is Improving Machine Learning for Blockchain

According to the research conducted at Microsoft, the company is working on finding out ways to design efficient collaborative machine learning models hosted on public blockchains. The incentive behind this effort is to make AI decentralized and a more collaborative forum using Blockchain.

While there is no doubt that advances are being made in machine learning, the benefits that are being created as the results of these efforts are not as openly available. The masses have limited resources and cannot always access cutting-edge technology such as machine learning systems.

Such systems are highly centralized and used as the proprietary datasets. Not only are they costly to recreate, but even the best models can become outdated if not consistently refreshed with new data.

The idea is to allow advanced AI models and bigger datasets to be easily accessible, sharable, updated and retrained to increase the adoption, acceptance, and overall effectiveness of AI. People will soon be able to adopt this easy and cost-effective method to run and access advanced machine learning models through regular devices such as laptops and smartphone browsers and collectively participate in improving data sets and models.

Therefore, Microsoft is keen on developing what they call a Decentralized & Collaborative AI on the Blockchain framework. It will significantly increase AI community collaborations to retrain such models with valuable datasets on public blockchains. The machine learning models would be made free for public use as they would know the code they are interacting with.

Some applications that Microsoft is looking forward to integrating are virtual assistants and recommender systems like used by Netflix to recommend shows to its audience. Considering such models, Blockchain makes sense because of the increased security and how trustworthy it is for the participants.

The well-established nature of the blockchain system and the associate smart contracts ensure that the models will always perform up to the specific requirement. As the models are consistently updated on the Blockchain used unhinged by the user’s local device, every user gets to see the one genuine version of the model.

Hence, even though Microsoft’s framework isn’t favorable for operating at large scale for now, but sooner or later, it will be the norm. There is little to no doubt that organizations like Microsoft are doing advanced research and practical work to converge AI and cryptosystems like Blockchain. There is no doubt that cryptocurrency is the future of money. So it is in the best interests of the organization to start working on merging Blockchain and AI for improved benefits.

How can an organization merge Blockchain and AI?

Just as Microsoft, more advancement is made for combining Blockchain and AI for fulfilling specific usage requirements. Such cases will depend on the company’s specific needs, but the core preference would be related to data. This will allow companies to improve their digital and data capabilities by developing a combination of AI and Blockchain solution to fit their operations.

The very first step needs to be taken by the executives to identify the specific business needs and whether creating an AI and Blockchain system would address that need. This can become easier if the organization has already worked on AI and taken initiatives in other operations because now you can integrate Blockchain to improve them.

Similarly, if the company owns valuable data, they can monetize by converging a blockchain environment and sharing the data with AI model creators. For instance, a progressive car company like Tesla probably has a good collection of valuable data collected by its cars. They can put it on a blockchain system as their self-driving cars will continue to collect huge amounts of data that they can use to improve the neural networks powering self-driving operations and functions.

With a trusted name as Tesla, the public would not be too complacent about maintaining their privacy. Blockchain would allow the company to make the driver information anonymous to ensure privacy while collecting data to improve neural nets in use.

The company can even share anonymous data with car insurance companies. It would allow the insurers to price their insurance packages for self-driving cars more efficiently and with an educated mind, given how the risk profile of a self-driving car is different from that of a regular car.

The whole packaged win-win situation here is that where the company would improve its cars, the public would get advanced transportation, complete privacy, and the right insurance for the right price without getting exploited.

Using Digital Investment Assets for Trading through Blockchain

You must be already aware of how Blockchain is already a ready-made, and good-to-go digital ledger used to store and trade financial instruments such as cryptocurrencies and cryptographic tokens. However, Blockchain is still a nascent technology, been only around for a few years. Where cryptocurrency has definitely taken the world by storm, cryptographic tokens are comparatively more nascent.

Hence, it is evident that there is no probable activity and enough data yet to apply AI to financial products like a cryptocurrency that are traded through Blockchain. However, the upgrading technology and data sets show a promising future for AI taking insights from these data sets to create financial products and trade them autonomously.

How can an organization merge Blockchain and AI?

The convergence of artificial intelligence and Blockchain would be a huge step forward, and the process will cover four distinct yet inter-linked stages.

Stage I: Proof of concepts

Stage II: Asset tokenization

Stage III: Digital Investment Assets DIA

Stage IV: AI agents trading DIA

The four stages will represent how Blockchain is proof of concepts initially. On the second stage, assets are tokenized and traded. Tokens can represent underlying security methods, physical assets, cash flows, and utilities. This reduces the alleged transaction cost and decreases the time taken for settlement to improve audit accountability.

AI and Blockchain Applications

There is no denying that a decade back if someone would have presented us with an idea of magical internet money called crypto in the future, we would have laughed and made fun of the person for coming up with Superman and Kryptonite theories. Fast forward to ten years down the line, and cryptocurrency not only exists, but there are real-world integrations of its blockchain system with AI.

Smart computing power

Think of a machine learning code that would upgrade and retrain when given the right data. That is exactly what AI affords the users to tackle tasks more efficiently and intelligently.

Diverse data sets

The combination of Blockchain and AI can create smarter and decentralized networks to host various data sets. Creating a blockchain API would enable the intercommunication of AI agents resulting in diverse codes and algorithms to be built upon diver data sets, ensuring development.

Data protection

It doesn’t matter if data is medical or financial. Certain data types are too sensitive to be handled by a single company and their coding system. Storing such data on a blockchain and accessed through AI would give its users a huge advantage of personalized recommendations, suggestions, and notifications while securely storing data.

Data monetization

Data monetization would make both AI and advance Blockchain easily accessible to smaller companies. As of now, developing and growing AI is costly for organizations, especially those who do not own data sets. A decentralized market would create space such companies for which it is otherwise too expensive.

Trusting AI for decision making

AI is growing smarter with time. Through the use of blockchain systems like crypto, transactions will become smarter, making the process easier to audit.

Conclusion

All in all, the collaborative effort of blockchain technology and AI is still majorly an undiscovered territory. One of the main reasons why we still have yet to see a commercialized joint adoption of the Blockchain system and artificial intelligence is that the upscale implementation of their convergence is quite challenging.

Many businesses, although having ventured on with AI, are skeptical when it comes to conjoining Blockchain. They are in their early stages for testing the waters for AI and Blockchain coming together in isolation. As they continue to figure it out for appropriate public distribution, the convergence of the two technologies has had its fair share of scholarly attention as well. Yet still, projects solely developed to promote the groundbreaking match are still primarily not catered to.

There is no doubt that the potential of this combination is clearly there and developing, but how it will play out for future public use can be anybody’s call.

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Claudia Jeffrey is currently working as a Junior Finance advisor at Crowd Writer, an excellent platform to get assignment help UK. She is a self-proclaimed crypto-influencer. She has gained significant expertise and knowledge in this regard over the years and likes to share it with an interested audience.