Machine Learning and Data Engineering Applications in Agriculture
“In God we trust, all others bring data.” William Edwards DemingIn 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,…
Can AI research be stopped? No, but it should become more open, democratic and scientific
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…
Machine Learning in agriculture: challenges and solutions
Machine learning is reshaping agriculture by enabling data-driven decisions across planting, irrigation, pest management, and harvesting. In this comprehensive guide, IIoT World explores the core challenges that farming operations face when adopting ML, including limited connectivity…
Will AI make us more secure?
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…
Leveraging IIoT, AI and Machine learning to optimize operations in manufacturing and infrastructure
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…
The Role of AI in Reducing Huge Businesses’ Carbon Costs
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…
Why a closed loop is key for machine learning
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…
Artificial intelligence: instructions for use
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.…
Ensemble Modeling: How to Improve Machine Learning
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…
Human-in-the-loop: humans and machine learning
Machine Learning is a subset of artificial intelligence (AI) that deals with creating systems that learn or improve performance based on the data they use: it has unprecedented computational capacity, but on its own it cannot…