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“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,” 

Coursera co-founder and Stanford University professor Andrew Ng famously said. He’s being proven right, with 86% of CEOs seeing artificial intelligence as a mainstream technology and over 90% of leading businesses investing in it on an ongoing basis.*

But what even is AI and how did it come to be? Will it ever turn into a Skynet type of situation or are Alexa and Siri the closest thing we’ll ever have to superintelligence? What are its benefits for industries and individuals? And what are its limitations – if any? We’ve gathered some deep dives from our blog to help you get your bearings, plus real-life applications from other corners of the web for inspiration.

This AI can be trained to recognise objects, music tunes or even body poses.

This solution makes drawing easy by recognising our sketched object and makes it better.

This AI can analyse texts on the basis of various aspects as we learned in the grammar class at school.


Business Example of Cost-Effectiveness of Generative AI in Customer Support

Customer support is an indispensable aspect of any successful business. However, traditional support methods can be resource-intensive, involving significant human effort and time. As customer expectations soar, companies face mounting pressure to provide 24/7 support, handle complex queries, and deliver personalized interactions. This is where generative AI comes into play,

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Do not make the first big mistake regarding the AI Act

On March 13th, 2024, the Parliament of the European Union adopted the AI Act, a significant legislation aimed at regulating Artificial Intelligence (AI) systems across various sectors. This article intends to offer a concise overview of the key aspects of the AI Act, focusing on its classification of AI according

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