Blockchain to Valuechain

Tasks or activities within an End-to-End Valuechain as well as entire chains of tasks or activities can leverage Blockchain. From financial transactions to contracts such as service levels or quality, End-to-end Valuechains can be modeled and automated with Blockchain transactions at specific steps. Similar to IoT/IIoT, the road to Blockchain success also runs through Digital Process Automation (DPA). Examples of Valuechains include support processes such as on-boarding an employee or IT helpdesk. Valuechains can also be mission critical. There are ample opportunities for leveraging Blockchain in Valuechains.

Blockchain for Organizational Culture: Part 1

The digital era fosters challenging the hierarchical and centralized control-driven organizations with alternative more democratic robust models that empower the participants. Blockchain  could  become an enabler – as we shall see. This is very much a decentralization, peer-to-peer execution, and disintermediation trend – the core competencies of Blockchain. A digital and agile organization with empowerment can leverage the innovative talents of its employees and improve their morals. Blockchain within enterprises can also promote alternative flat organization patterns. Blockchain is a distributed and decentralized peer-to-peer database. Applications built on Blockchain can allow organizations to execute smart decisions.

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Quantum Computing and Blockchain: Facts and Myths

The quantum computer, following the laws of quantum physics, would gain enormous processing power through the ability to be in multiple states, and to perform tasks using all possible permutations simultaneously.  While the native encryption algorithms used by Blockchain’s applications are safe for now, the fact is that the rate of advancements in quantum technology is increasing, and that could, in time, pose a threat. The biggest danger to Blockchain networks from quantum computing is its ability to break traditional encryption.

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  • Connected Finances – Part 3: Getting More Personal and Invisible

    The idea of an invisible process seems very attractive, but even then, it’s not truly “frictionless”. As is the case with any new technology coming into the world, we can’t just rush into the invisible approach to the IoT in banking without the right tools and protocols in place.  If we want to successfully bring invisible payments to life, an omnichannel environment for end users must surely be on our agenda. Of use will also be such technologies as Machine Learning, Artificial Intelligence, sensors and IoT devices.

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    Blockchain Intelligence (AI) in Value Chains

    AI is an integral part of Digital Process Automation, and the potential of AI optimizations for on-chain (Blockchain transactions) and off-chain data (IoT, customer, etc.) are tremendous. There is a lot of speculation about the impact of Artificial Intelligence on Blockchain. Part of the problem is the folklore surrounding Artificial Intelligence and Blockchain. Here we elaborate on

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    How Automation and Machine Learning Are Reshaping the Finance Function, Part Two

    Take a deeper look at the specific use cases of automation and machine learning across finance, and what they mean for traditional, day-to-day finance activities. In the first part of this blog, we looked at the impact of automation and machine learning on the CFO function. In this article, we take a deeper look at specific use

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    Open API: WHATs, WHYs, and HOWs of API deployment

    PSD2, a new banking directive, will undermine the old banking system to bring a new competitive and more transparent market to life. Banks struggle to soften some negative ramifications of the shift and leverage API, their new weapon, to retain the clients and take banking services to a new level. PSD2 brought up much havoc

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    How Artificial Intelligence and Fintech Can Work Together

    Artificial intelligence (AI) in fintech firms will bring in a new series of opportunities, like personalized wealth management, automated customer support, intelligent financial assistance, fraud detection, accurate decision-making, and so much more. Most of us think fintech is a relatively new concept. Still remember the days when we had to go to financial advisors for

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    Ten Trends of Blockchain in 2020

    It’s clear that blockchain will revolutionize operations and processes in many industries and governments agencies if adopted, but its adoption requires time and efforts, in addition, blockchain technology will stimulate people to acquire new skills, and traditional business will have to completely reconsider their processes to harvest the maximum benefits from using this promising technology. [2]The following 10 trends

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    When Will Blockchain Technology Be a Game-Changer?

    When will blockchain become a true game-changer? Despite the enormous amount of research into uses for blockchain technology and the large number of pilot projects using blockchain technology, many questions still remain. Experts are seeking to see that killer app that requires blockchain tech as the enabler. 2020 may very well be that game-changing year. If not, we will certainly see tremendous progress, and some organization will release a true game-changing app based on blockchain technology in the early ’20s.

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    Twelve Myths about Blockchain Technology

    Blockchain technology is young and changing very rapidly; widespread commercialization is still a few years off. Nonetheless, to avoid disruptive surprises or missed opportunities, strategists, planners, and decision makers across industries and business functions should pay heed now and begin to investigate applications of the technology. Blockchain ensures that data has not been tampered with, offering a layer of time stamping that removes multiple levels of human checking and makes transactions immutable. However, it isn’t yet the cure-all that some believe it to be.’

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    The Future of Algorithmic Trading

    Though you probably do not realize it, sophisticated algorithms are already dominating our everyday life, through traffic lights, train schedules, your Facebook newsfeed, and more. An area of algorithmic dominance that often goes unnoticed is in the stock market. These trading algorithms are reshaping the way trading is done on Wall Street. Investors are using algorithms designed for trading to bring greater efficiency to financial markets, and at the same time push us into uncharted financial territory. 

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