Artificial Intelligence & ML

"In God we trust, all others bring data." William Edwards Deming In this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes,

Should AI research stop even temporarily? In my view, no, as AI is the response of humanity to a global society and physical world of ever-increasing complexity. As the physical and social complexity increases processes are very deep and seem

In recent years, machine learning has become one of the most promising technologies. And while it's often associated with consumer applications like smartphone personal assistants and social media recommendations, its potential extends far beyond that. Agriculture is a great example of

ChatGPT, the dialogue-based AI chatbot capable of understanding natural human language, has become another icon in the disruptor ecosystem. Gaining over 1 million registered users in just 5 days, it has become the fastest growing tech platform ever. ChatGPT generates impressively

Manufacturing is poised to play a critical role in shaping the economy for the next decade and beyond. The opportunities are endless if the advanced manufacturing industry can strengthen its innovation vision and embrace the reality of end-market disruption, but

Artificial intelligence (AI) is among the drivers of innovation in every industry, and it’s also a key player in reducing businesses’ carbon emissions. For instance, AI technology has significantly helped cut the carbon footprint of the energy industry through efficiency

By now, the positive impact of digitalization in manufacturing environments is widely recognized — reduced costs, improved operational efficiency and greater productivity. But digitalization is not fulfilled by making just a single change. It is a continuous cycle of updates

Artificial intelligence does not have an unambiguously accepted definition. This is because AI is not a stand-alone technology but a combination of different technologies that, properly orchestrated with each other, allow machines to act, almost, autonomously. Unlike automation, AI doesn't

What is Ensemble Modeling? Ensemble Modeling is a technique used to improve the results of Machine Learning projects. This Ensemble Modeling technique allows to obtain a better predictive performance compared to the models from which it is made up, thanks to