Blockchain is a new approach to manage/monitor financial and other transactions. In this article, the idea is to draw a coarse sketch of an inflated scenario of
- How FinTech & Blockchain may interact with us in the future?
- How this combo warrants or perhaps mystify the two superpowers?
FinTech Intelligence with Blockchain as a backbone
In order to have strong, robust, intelligent and secured innovation hub or powerhouse lab with smart setup and built-in artificial intelligence is the key success factor of today’s technology business. Without such efforts, it would appear like joining blocks without reference of the previous block.
What is blockchain (Fintech) and why Google and Facebook could be the banks of the future to put it succinctly “Blockchain is digital ledger in which transactions made in bitcoin or in any cryptocurrency”.
In other word its innovations which depict the rapid pace and wide scale of change which technology has introduced to finance as succinctly as Bitcoin. Fintech anyways getting demystified with help of AI’s subset Machine Learning but Bitcoin got already step ahead and defined Fintech in a nice manner.
AI forms its own team (has a negative and positive impact of this) on the fly with a combination of hardware, software, infrastructure and machine learning training programs. The purpose is to organize and facilitate planning, control, coordination, and decision making in an organization.
This process happens at any time or many times for various tasks. Blockchain is there to transform financial services as a disruptive technology with the transformational ability for any traditional financial business.
Blockchain is a Power Business
The future computing will have extraordinary capabilities with expected factoring of a 3,000-digit number (40 power to 10) faster than today. Algorithms that can learn from data to describe the data and predict outcomes for unseen data are useful for addressing complex problems.
Google uses its algorithms to index web pages in a way that provides a near-seamless service to anyone who wants to locate content on the web. In return, it asks for the right to collect and record information on your browsing history.
Which it uses to provide a better understanding of the content that users want to see on the web. Feeding this information back into Google search and improving its search engine service in the process. This also helps its customers sell you better-targeted advertising, based on the customer profile it’s built upon you with the data it collects.
AI’s Control systems are widely used in our day-to-day life like Siri, Cortana etc from narrow intelligence level. Have you have noticed how a simple thermostat adapts to a target temperature.
Blockchain – A Blue Ocean Business
Blockchain is blue ocean information technology database that would lead to several other important future applications at the expense of near-term earnings. Emerging markets are early-adopters of new technologies i.e. Drones and 3D modelling instead of on-site risks visits.
Refining existing and developing new risk services is key for both technologies and businesses to prepare jointly for the next industrial revolution. The growing interest in the blockchain phenomena, defined at a high level as a secure way of leveraging nearly instantaneous transaction activity.
But is the alternative, sprinkling a dash of innovation brain blocks dust approach may have been sufficient to check the planning-for-the-future box. Blockchains actions or goals are projected to exceed the financial vertical for a profound effect across the data sphere. It might make sense just to get some Bitcoin in case it catches on. If enough people think the same way, that becomes a self-fulfilling prophecy.” — Satoshi Nakamoto in 2009.
“Blockchain is the world’s leading software platform for digital assets. Offering the largest production blockchain platform in the world, we are using new technology to build a radically better financial system.” — These lines you can find on blockchain.com.
Some applications of blockchains to AI are unexciting, like audit trails on AI models. The biometric authentication feature associated with mobile wallets is a great example with the promising feature but still very far from basic security that can catch the fraudster with behaviour biometrics though.
Blockchain and Data Management i.e DataIntelligence
Blockchain matter to practicalities of data management and it provides the foundation to bitcoin which is mind game and a result of a well-thought process and cooked with ingredients like artificial intelligence (ANI and AGI), Machine learning (blended with deep learning) and their components around. Conceivably the first and most straightforward element needed for thinking is a memory.
For blockchain computational purposes, a position can be articulated that each memory is a discrete unit and that these discrete units are encoded and stored somewhere. Unlike computational Intelligence and metaheuristics (problem-independent technique) solutions often take long to find the best possible outcome. Its most eminent application could very well be provisioning a prototype for security measures to truly fortify the IoT.
Bitcoin is an artificial intelligence currency. Because it is assured that in future robots are going to make use of Bitcoins. The Robots will take over the enterprises’ operations. It is even predicted that in the future, robots are going to own property, assets and do trade with Bitcoins.
A Decentralized Autonomous Organization (DAO) is a process that manifests these characteristics. It’s a code that can own stuff. The self-driving car is an excellent example of this. What if you use blockchain to store the state of the machine. The key move for blockchain-enabled thinking is that instead of having just one instance of memory, there could be arbitrarily many copies of a memory, just as there can be many copies of any digital file.
FinTech powered with Blockchain and AI – The new Magic
With AI power to enable security features of mobile payments to mean the technology could gain traction in other areas of B2B payments and escalate blockchain to generalize, any previous application of AI, but now the AI “owns itself”. We might have a future where humans own nothing; we’re just renting services from AI DAOs. Blockchain technology could transform AI, in its own particular ways. Some appear almost unreasonable, like AI that can own itself. AI DAOs.
All of them are opportunities. As such, machine learning methods are used in applied computers science fields such as Data mining also known as knowledge discovery in databases (KDD) and Data Science.
There’s no single answer to this without end-to-end architectural analysis. AI and blockchain combination is explosive! Blockchain technologies . It can help realize some long-standing dreams of AI and data analysis work and open up several opportunities. Let us open a discussion on this and build some intelligence around it. It’s time money caught up. Digital assets, like bitcoin and ether, allow users to transact directly without any third-party intermediary.
Points to Note:
All credits if any remains on the original contributor only. We have covered some high-level engagement on Blockchain and FinTech in this post. In next coming, blog posts will talk about each one these emerging bundles in details. Welcome to the future of Payments. Views here are from many of my friends, colleagues and reading through the web.
Books & Other Material Referred
- Research through open internet, news portals, white papers and imparted knowledge via live conferences & lectures.
- Lab and hands-on experience of @AILabPage (Self-taught learners group) members.
Feedback & Further Question
Do you have any questions about Deep Learning or Machine Learning? Leave a comment or ask your question via email. Will try my best to answer it.
Conclusion – Its development may follow different directions. Through different security threats. However, which is the best direction? The answer lies in the analysis of future technologies development within the 3GPP framework (For Telecom), FinTech, AI and AGI, Machine learning & Deep Learning, Threat Intelligence will play a bigger role coupled with an evaluation of the driving factors and key capabilities required by convergent systems and requirements.
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