Blockchain is a new approach to manage/monitor financial and other transactions. 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 previous block. In this article the idea is to draw a coarse sketch of inflated scenario of how these two technologies may interact with us in the future and what warrants or perhaps mystify the two super powers (artificial super intelligence is a super power for real). Before we discuss this further, let’s first review. Views here are from many of my friends, colleagues and reading through web. All credits if any remains on the original contributor only.

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 another words its an innovations which depict the rapid pace and wide scale of change which technology has introduced to finance as succinctly as Bitcoin. Fintech any ways 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 negative and positive impact of this) on the fly bitcoin-chip-1with combination of hardware, software, infrastructure and machine learning trained programs. Purpose is to organize and facilitate planning, control, coordination, and decision making in an organization. This process happens any time or many times for various tasks. Blockchain is there to transform financial services as a disruptive technology with transformational ability for any traditional financial 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 ask for the right to collect and record information on your browsing history, which it uses to; better understand 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 and also help its customers sell you better targeted advertising, based on the customer profile it’s built up on 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 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 modeling 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 block chain platform in the world, we are using new technology to build a radically better financial system.” — These lines you can find on

Blockchain matter to practicalities of data management and it provides foundation to bitcoin which is mind game and a result of 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 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 takes long to find best possible outcome. Its most eminent application could very well be provisioning a prototype for security measures to truly fortify the IoT.

Big_DataBitcoin 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 code that can own stuff. Self-driving car is an excellent example for this. What if you use blockchain to store the state of machine. The key move for blockchain-enabled thinking is that instead of having just one instance of a memory, there could be arbitrarily many copies of a memory, just as there can be many copies of any digital file.

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 promising feature but still very far from a basic security that can catch the fraudster with behavior biometrics though. With AI power to enable security features of mobile payments 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 computer science fields such as Data mining also known as knowledge discovery in databases (KDD) and Data Science.

Sign-tConclusion – 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. 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.

#MachineLearning #DeepLearning #ArtificialIntelligence #ML #DL #Tech #ArtificialNeuralNetworks #ANN #payments

======================= About the Author =================================

Read about Author  at : About Me   

Thank you all, for spending your time reading this post. Please share your feedback / comments / critics / agreements or disagreement.  Remark for more details about posts, subjects and relevance please read the disclaimer.

FacebookPage                Twitter                          ContactMe                          LinkedinPage    ==========================================================================


Posted by V Sharma

Specialised in Financial Technology(FinTech), Artificial Intelligence for Fintech. Mobile Financial Services (Cross Border Remittances, Mobile Money, Mobile Banking, Mobile Payments), Data Science, IT Service Management, Machine Learning, Neural Networks and Deep Learning techniques in FinTech. Mobile Data and Billing & Prepaid Charging Services (IN, OCS & CVBS) with over 15 years experience. Led start ups & new business units successfully at local and international levels with Hands-on Engineering & Business Strategy.


  1. Good information to researchers sir .



  2. Mobile Money Experts September 29, 2017 at 20:59

    Usefull information thank you spening your time for sharing



Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s