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Blockchain has become a buzzword over the years especially with the introduction of cryptocurrency. But, what exactly is blockchain? Well blockchain refers to a collection of records, used to document transactions that take place over time and is stored in a database-like structure. Blockchain has become a way to record and distribute information stored digitally that cannot be modified in any way. Blockchain forms the foundation of cryptocurrency, which has become increasingly popular over the years. Cryptocurrency is a form of digital currency that can be used to perform online transactions. Through using blockchain, cryptocurrency transactions are protected using complex encryption algorithms, thus preventing fraudulent behaviour and ensuring transparency. Some popular cryptocurrencies built on blockchain include Bitcoin, Litecoin and Ethereum.

As the use of machine learning (ML) in different applications increases, many programming languages have had to adapt and introduce new ML packages and libraries into their offering to stay relevant. There are many ML programming languages, however, three of the most popular languages include Java, Python and R.

Machine learning operations (MLOps) is a field in machine learning (ML) that is focused on automating the deployment, monitoring and managing of ML models that are moved into production, allowing it to be scalable so that business value can be created. Different teams within an organization (Data Scientists, DevOps engineers etc.), processes, practices and technologies are integrated to build MLOps pipelines.

As the world becomes more digitally focused with mobile applications increasing in popularity, there is a significant demand for software tools that can be used to build cross-platform applications quickly and effectively. Regardless of the operating system running on your device, a mobile application should provide you with a seamless user experience. This is where Flutter comes in.

“The cloud” has become a buzzword over the years, especially within the business space. So what exactly is it? The cloud is a collection of data centers that are located all over the world. These data centers consist of servers that are accessed by users over the internet, and provide users with access to software and data. The cloud exists through virtualization, which is the process whereby physical computers, otherwise known as virtual machines, are mimicked using software. Many users can interact with these virtual machines at one time, where each virtual machine remains autonomous and doesn’t interact with the others.

In a company, it’s extremely important that everyone works together to contribute to constantly bettering the company and customer experiences. A team of data engineers, data scientists and business analysts can work together to extract meaningful insights from raw data that is collected over time. These insights can provide a company with a competitive advantage and assistance in making informed business decisions. Overtime misconceptions have arisen around the roles that data scientists and data engineers play in industry. In many companies, both roles are thought to be interchangeable, however, they are distinctly different. Let’s have a look at the differences!