This project focuses on the development of a comprehensive and advanced system for the smart monitoring and control of green areas, aiming to improve the sustainability, efficiency, and productivity of agricultural and urban environments.
Introduction In this interview series, we delve into the world of AI Automation and MLOps, covering different topics such as
In 2024, the widespread adoption of machine learning models in production use is expected to reach unprecedented levels, with MLOps
In the fast-evolving landscape of technology, 2025 promises to be a pivotal year for the telecommunications (Telco) industry, with artificial
2023 has been a remarkable year for Tupl. From prestigious awards to innovative solutions, strategic partnerships, customer acquisition and diversification,
The connection between AI, Agro, and Industry will be crucial for future advancements in these sectors. Automating the harvesting process
In today’s hyperconnected world, Telecommunication (Telco) operators play a pivotal role in ensuring seamless communication. However, this relentless pursuit of
Human error continues to be a major source of inefficiency and cost in manufacturing. This article explores how integrating AI—especially through Tupl’s no-code, scalable industrial automation solutions—can significantly reduce errors, optimize processes, and drive down operational costs. From predictive maintenance to automated quality control, discover how AI empowers factories to achieve higher productivity and greater precision across the board.
Over the past few years, Artificial Intelligence and Machine Learning have revolutionized the way companies in the telecommunication sector operate.
