Blockchain After the Cryptocurrency Hype

March 11, 2019July 25, 2026 ~ Ulv Bjørnsson ~ 2 Comments

Blockchain technology is gradually revolutionizing the way business is being transacted on in the digital realm. Blockchain technology exploits decentralisation and one-way cryptographic hashes to ensure the integrity of data and P2P transaction across the internet. Cryptocurrencies have been the main driver of Blockchain technologies and although the world may have slowed down in terms of its appetite for these currencies, the technology behind Bitcoin and EOS is finding relevance and applications in diverse areas. This because unlike other technologies that focus on solving specific problems or automating processes where security becomes an afterthought, Blockchain in many ways cooperates security by design in its architecture. It eliminates the need for third-party layering of security elements (TNO 2019). This article explores areas where Blockchain technology is finding novel applications. These include identity management, creative content copywriting, tokenization of products and data integrity management.

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Coco Is a Framework, Not a Ledger

February 5, 2018July 25, 2026 ~ Ulv Bjørnsson ~ 2 Comments

Coco Framework, is NOT a blockchain ledger.

Coco is a blockchain ledger framework.

It leverages a combination of trusted execution environments, advanced cryptography and innovative blockchain-focused consensus mechanisms to enable new ways of utilizing the blockchain. Coco stands for Confidential Consortium.

If you want a deeper dive, I suggest you check out the Coco Framework whitepaper, here.

Additionally, Microsoft offers BaaS (Blockchain-as-a-service) and was chosen by Bankchain which is a platform for banks that want to implement blockchain technology; members include State Bank of India, ICICI Bank, DCB Bank, Kotak Mahindra Bank, Federal Bank, Deutsche Bank and UAE Exchange.

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AI Moved Fraud Detection Into Real Time

November 24, 2017July 25, 2026 ~ Ulv Bjørnsson ~ 4 Comments

Over the last few years, cloud computing has been the buzz. Cloud computing services offer an infrastructure that is highly scalable and supports high-performance computing. With high adoption by businesses of all sizes. Development and deployment of applications within the cloud platform are easy and time to market is done in a fraction of the time.

Artificial intelligence is not a new technology. It has been here for a long time and has helped develop computers and software that perform tasks that are associated with intelligence. Machine learning and deep learning are subsets of artificial intelligence that involve the development of algorithms that learn from data inputs and give intelligent output based on that data and the learned patterns.

A lot of research has been done and still is being done on implementing artificial intelligence into cloud computing. Cloud service providers such as Amazon, Google and Microsoft have already integrated AI into their clouds to improve service delivery. AI brings about capabilities such as machine learning, recognition of patterns and robotics to the cloud. On the other hand, the cloud is able to provide a wide range and large volumes of data since these capabilities are largely dependent on data as input so as to produce the desired output. The cloud also allows the systems to open-access and open-source data which is very crucial in facilitating collaborative learning.

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