In this series of demystifying the tech trends, my colleagues and I will be looking at busting the buzzwords to help you keep on track. Concerned about puzzling parlance, analytics argot, techie terminology – or plain old jargon? This series breaks down words and concepts to give you the deepest insight and understanding into how to talk the talk in the world of tech, so you can engage in conversations with the confidence of being data literate.
When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.
When we talk about technology, we should try to do it in the simplest possible terms. But while we hear many CEOs and other tech executives preach this advice, it’s rarely followed—and the workflow software space is no exception. Popular workflow lingo like hyperautomation, digital process automation, and intelligent automation all mean essentially the same thing: to digitize processes for efficiency, consistency, and compliance.
Better HR analytics bring benefits to every business, but data integration must come first.
These days, thanks to the Internet, any person or business can become a brand. Yet, not many of those brands manage to become known or recognizable. Building brand awareness takes a lot of time and effort, and it all starts with creating a consistent visual identity.
Flask and Django are two of the most popular Python packages. More importantly, they are the two most preferred web frameworks you can use with the language. Both frameworks are open-source and offer excellent APIs for developers to build robust Python web applications. While both frameworks serve the same purpose, they take two philosophically opposed routes to achieve it.
Today, we are excited to announce the public preview of search indexes and related SQL SEARCH functions in BigQuery. This is a new capability in BigQuery that allows you to use standard BigQuery SQL to easily find unique data elements buried in unstructured text and semi-structured JSON, without having to know the table schemas in advance. By making row lookups in BigQuery efficient, you now have a powerful columnar store and text search in a single data platform.
Challenger Banks are the new age banks that have come into existence riding on the waves of technological and regulatory enablement. These banks, in general, are completely digital and don’t have a branch, saving loads of money, which makes the entire process convenient and cost-effective for the customer. Every year, they are gaining more and more popularity and have already taken over some categories like payments and transfers.
