Data engineering traverses a wide range of technical capabilities that can be applied in many data science careers. Some popular ones are data and machine learning scientists and data engineers. Becoming a professional in these fields is in high demand as the world of data expands around itself every second. It is a promising area of expertise with high pay, but is data engineering a proper fit for you? 

What is Data Engineering and is it Right for You?

Every day, the world becomes increasingly reliant on AI and Machine Learning to deliver solutions that had once been out of reach. However, as the dependence on these technologies increase, so does the need for high-quality labeled data. Today, data labeling or data annotation, which involves preparing tagged datasets for machine learning models, is still seen as one of the boundaries of artificial intelligence that we must push further if we wish to automate more decision processes. 

Top 6 Tips on How to Choose a Data Labelling Provider

As we speak, the discovery of new ways to improve human life is constantly outdoing itself through artificial intelligence. In a flawed world, however, any error in the system could potentially be a fatal miscalculation. Due to the Covid-19 pandemic, an unprecedented amount of pressure can be felt within industries implementing AI models into their system.

Custom AI Solutions vs RPA - what are the differences?

Technology has been advanced significantly over the last two decades. This industry has become so vast that some people find it hard to utilize the systems and programs it offers.

AI Consulting Guide: How to get the most with AI Consulting Services

Over the last 20 years, a new term has become a buzzword in the business world: “big data”. This refers to data sets that are simply too big or too complicated to be handled by conventional data-processing software. 

How data analytics are changing the consulting industry: Who are data analytics consultants?

If you look at any website with an audience in an IT field, the odds are good you’ll have heard of it. Unfortunately, despite the widespread popularity of data science, misconceptions abound. There’s so much misinformation about the field that both entrepreneurs looking to utilize data science in their startup and students planning out their career path can be turned away without good cause.

Common Misconceptions about Data Science

Are you interested in artificial intelligence? Whether you’re an expert with years of experience in the field or just a beginner writing your first few lines of Python, there’s one fundamental truth you’ll have to grapple with at some point in your career. 

Upcoming Machine Learning Trends to Watch Out in 2021

AI (artificial intelligence) sounds like something out of science fiction, but the truth is a lot of people use AI daily and do not think twice about it. Every time you say “Hey Siri” or “Alexa” there is an AI extracting the meaning behind your words and, it makes decisions based on patterns and algorithms.

Is AI Capable of Understanding Human Speech and Our Emotions?

In case the term ’recommender system’ does not immediately ring a bell: whenever you shop online, there is most likely a recommender system that guides you towards the product or service you are most likely to buy. 

The Algorithms that make suggestions what a user may like - Recommender System 

In the world of technology, AI (Artificial Intelligence) is an innovative way to enhance the business experience—it is a great tool to utilize, and a lot of businesses are using it. Your company may be one of them, so you will need a data labeling system to label a substantial number of images, videos, or text. It is best to find people with experience because even smart technology requires a human operator. 

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