An internship as a Management Associate at Data Wow provides hands-on experience and real-world learning from experts, offering university students the knowledge and skills to advance their career path.

Intern Life As Management Associate At Data Wow

Hello there! Ice, one of the Wowers who graduated from Young Wow Program and his journey on becoming Ruby on Rails Developer at Data Wow 

The Wowers: A Journey of Young Wow to Ruby on Rails Developer

We’re going to introduce you to the life of working with Data Wow so you could see how wow it is to be a part of our company!  Meet one of the Wowers, Sorn. He’s here to tell you about his life as a Data Scientist. 

The Wowers: What is it like to be a Data Scientist at Data Wow?

Machine learning and AI (Artificial Intelligence) are revolutionizing large parts of the world we know - not least of all the manufacturing industry. AI is in fact on the verge of helping to create the fourth industrial revolution, often referred to as Industry 4.0, where AI is combined with additive manufacturing, advanced robots, and IoT (The Internet of Things).

Why industrial AI is revolutionizing manufacturing?

During the COVID-19 pandemic, economic ramifications and uncertainties have greatly influenced manufacturers and manufacturing companies, who are striving to master cost cutting, resourcefulness, time management and the ability to adapt. Louis Columbus writes that these goals have led to a level of determination in manufacturers to utilize “AI driven pilots and analytics” wherever possible, combining them with human effort while “driving down costs and protecting margins,” among other goals. 

Top 8 AI Applications In Manufacturing in 2021

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

The manufacturing industry has been going through a transformation in recent years. What we see now is an enhanced network of technology, systems, and machinery to increase productivity and im-prove quality and efficiency. This has resulted in massive demand for big data, smart objects, and AI (artificial intelligence).

How Artificial Intelligence Works in Quality Control

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.

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