• Quill Team

Tech Industry Jargon

In today’s age, technology is the new oil. The current tech revolution is often compared to the Industrial Revolution. This is not surprising as the world’s most valuable resource today is not oil, but data. The rise of Silicon Valley has made the technology industry one that is growing tremendously and finding its way into a wide array of other industries. It’s easy for the common person to get lost in the complex jargon. Here we have provided a few common words as a guide to technical jargon:


Data Mining: The concept of discovering patterns from large amounts of data is known as Data Mining.


Blockchain: Blockchain is a new type of database, which is distributed (not just in one place) and encrypted by default.


Search Engine Optimization (SEO): SEO is the internet marketing practice of optimizing a website so that it’s more likely to show up in unpaid search results (e.g. it’s one of the first sites to appear when you Google search a related topic).


Machine Learning: Machine Learning is a type of artificial intelligence which gives computer programs the ability to learn from new data without being explicitly programmed to do so.


Data-driven Design: Data-driven design relies on analytics and user feedback to inform product design decisions.


Quantum Computing: Traditional computers work with bits, which can only have two states, 0 or 1. Quantum computers on the other hand, work with qubits which can have more than two states. In a nutshell, qubits mean faster and more powerful computers.


Raster Images: Raster images are computer graphics made of pixels that can be edited pixel-by-pixel with programs like Painter and Photoshop.


User Interface (UI): User interface includes all the parts of a website, app, computer, smartphone, etc. that the user can manipulate and interact with.


Technological Unemployment: Technological Unemployment is the notion of humans losing jobs to machines. Advances in robotics, machine learning and automation have led to jobs being taken over by machines.


Actionable Analytics: Actionable Analytics means analyzing data to find problem areas and their causes, to then determine what to do to solve those issues.


Object Oriented Programming: Object-oriented programming is a type of computer programming/software design that focuses on the creation of objects that have specific and unique attributes and abilities.


Smart Industry 4.0: Industry 4.0 is the term which is surfacing to describe the current trend of automation and sharing of data in the manufacturing sectors.


Firewalls: Firewalls are systems designed to protect and secure a computer network—everything from a commercial web service to your home’s WiFi network—from external security risks.


Data Modeling: Determining what kind of data is needed and how it will be structured and organized


By Asees Bindra



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