At the SWISS LEADERS CONFERENCE, an exchange of innovative ideas on data strategy and digital transformation took place. The focus was on leveraging Big Data Analytics and AI to foster digitalization, enabling service-oriented business models, and driving market innovation. Investments in skilled teams, software, and architecture have led to exciting use cases, with data-driven startups notably disrupting industries.
Interpreting deep learning models is crucial for diverse applications such as healthcare and self-driving cars. Understandably, errors can have catastrophic consequences. Thus, achieving interpretability is essential for decision-makers. Properties like fidelity, comprehensibility, and accuracy are vital for evaluating interpretability. Various methods, including visualization techniques and knowledge distillation, offer insights into complex models. However, quantifying interpretability remains a challenge. For more information, refer to research papers on refining deep neural networks and interpreting CNNs. Enhancing interpretability not only fosters trust in AI but also mitigates risks in decision-making processes.
Discover AGROVOC, the concept scheme revolutionizing agriculture. Learn how it organizes agricultural domains, differentiating concepts and terms while harnessing the power of RDF. Uncover its potential through the AGROVOC RDF file, enabling seamless integration into diverse applications and systems.
Introduction In my role as a senior manager at the United Nations, I had the unique opportunity to lead a team of data scientists and architects on a groundbreaking climate change project. The project aimed to provide actionable insights on the impact of climate change on agrobiodiversity and plant genetics. Utilizing a range of advanced sensors, we were able to capture a wealth of data, enabling us to make accurate models and analyses. This article delves into the specifics of the sensor technology used and the invaluable data collected for climate change assessment. https://www.youtube.com/watch?v=JNAELNPlzy4&cc_load_policy=1&cc_lang_pref=EN The Sensor Arsenal Soil Moisture Sensors These sensors were crucial in understanding how changing climate conditions affect soil water content, a key factor in plant health.…
Analyzing vast datasets from GBIF and meteorological organizations, we unveil how climate change impacts plant behavior and distribution worldwide.
In a pioneering move to enhance global access to agricultural and environmental data, a consortium of research organizations has launched the Info Finder, an online search tool designed to revolutionise the dissemination of specialized information in these fields. This collaborative effort, featuring contributions from the World Agricultural Information Center of the FAO, Future Harvest Centers worldwide, and the CGIAR, underscores a significant leap forward in digital transformation efforts within agriculture. With the platform harnessing FAO’s cutting-edge technologies and adhering to common standards such as the Agrovoc agricultural thesaurus, Info Finder emerges as a beacon of innovation. It paves the way for rapid access to a vast reservoir of knowledge, promising to play a crucial role in supporting sustainable agricultural practices and ensuring food security across the globe. The involvement of Massimo Buonaiuto, a leading figure in data science and digital transformation, highlights the critical intersection of technology and agricultural research, driving forward the agenda for a more informed and sustainable future.
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