FinTech

The blockchain is a collection of technologies, just like bricks used in a construction. You can choose different bricks to place them collectively in various forms to produce your desired construction results. Similar is the case with the blockchain technologies. Like the use cases of bricks are many, the blockchain application use cases are many.

Cryptocurrencies such as Bitcoin have increased the awareness of distributed ledgers with their use of a particular type of ledger — blockchain — to hold the details of coin accounts among millions of users. Cryptocurrencies have certainly had their own problems with their wallets and exchanges 

Ready to learn Blockchain? Browse courses like Blockchain for Finance Professionals developed by industry thought leaders and Experfy in Harvard Innovation Lab. Floyd "Money" Mayweather made headlines for making light work of Mixed Martial Arts superstar Conor McGregor. But he also made tech headlines recently by endorsing the Hubii Network, an initial coin offering (ICO), on his Instagram and

Ready to learn Blockchain? Browse courses like Blockchain for Finance Professionals developed by industry thought leaders and Experfy in Harvard Innovation Lab. In my previous article, I explained the mechanics of the Blockchain and how blocks are linked into an immutable chain with clever crypto functions. These blocks contain many transactions which are supposed to be anonymous. But what do

While many of the industries professing to make revolutionary use of distributed ledgers hardly offer a relevant use case, social media is one of the fields that can benefit immensely from blockchain and tokenized economies. Social media data is where blockchain can help. In a nutshell, blockchain is a distributed ledger or database. When you port social media to the blockchain, the immediate benefit users will gain is exclusive ownership of their data. 

Ready to learn Blockchain? Browse courses like Blockchain Technology Fundamentals developed by industry thought leaders and Experfy in Harvard Innovation Lab. Source: z0h3 on DeviantArt Star Wars is a compelling story about a little kid called Anakin Skywalker. Branded ‘the Chosen One’, Anakin is the saga’s messiah who holds great promise to bring balance to the force and ensure peace

Predictive analytics, as an evolving domain based on Big Data and AI, requires a considerable amount of information for training the model. Sometimes, locally, this is scarce or unscalable, but imagine putting together data from thousands of similar users. Suddenly, the lack of data is no longer a problem and patterns emerge more easily. This gives a real chance to smaller companies, like start-ups, to take advantage of the blockchain model for their operations and use the data generated in the process as a by-product to feed various prediction models. 

Blockchains and cryptocurrencies are a new technology, while Bitcoin has existed for 10 years. If you have followed the discussion that has emerged around this technology, you have probably encountered debates about scaling. Scaling is the process of engineering blockchains to be able to process a greater number of transactions, computations, and applications. Essentially, it is the question of how do we make this technology more efficient and applicable. Blockchains are notoriously slow, inefficient, and more difficult to scale than traditional technology due to the constraints of working with a decentralized network. 

The three currently most prominent enterprise technologies are without doubt AI, blockchain, and IoT, and the driving factor behind them is data. Out of the three, blockchain technology is what assembles the pieces and there is a whole ecosystem of data-driven blockchain projects emerging. The solutions in this blockchain data ecosystem create new opportunity and they lower cost. Especially the second is key as it lowers the entry barriers for new innovation, enabling more people to contribute and therefore potentially accelerating our progress as a society.

Algorithmic trading is perceived as a very complex area for beginners. There’s simply way too much to learn as it covers a wide range of disciplines that require a considerable degree of mathematical and statistical maturity. Simply put, if bogged down with the wrong resources initially, it can be very demotivating to understand or learn algorithmic trading.

Blockchain, still in its nascence, it has been more useful to every possible industry on this planet. Similarly, IoT or Internet of Things is in its initial phases, still blooming, but the stir it has created in the world it unparalleled or only comparable to blockchain. These two have become the epitomes of technology and the minute they come together, it produces an endless network of interconnected devices sharing the entire world’s data among themselves and the external environment, functioning perfectly without the intervention of humans.