by admin | Sep 3, 2025 | Artificial Intelligence, Cybersecurity, Digitial Age, Machine Learning
Impact of Human Factors on Cybersecurity Introduction Human factors are the primary source of cybersecurity vulnerabilities, with human errors, such as miscalculations, contributing to over 80% of cyber incidents, data breaches, and malware attacks (Triplett, 2022)....
by admin | Apr 21, 2025 | Artificial Intelligence, Data Science, Digitial Age, Machine Learning
Impact of AI Technology on Society and Economy Introduction Artificial Intelligence (AI) is a transformative force reshaping society and the economy in unprecedented ways. As a General Purpose Technology (GPT), AI integrates with computing, energy, and data systems,...
by admin | Feb 9, 2024 | Agriculture, Data Science, Digitial Age, Finance, Machine Learning
Digital Agriculture Can Boost Economies of Low, Middle-Income Countries In recent years, the world has witnessed a dramatic shift towards digitization in various sectors, and agriculture is no exception. Digital agriculture, also known as smart farming or precision...
by admin | Sep 29, 2023 | Agriculture, Data Science, Finance, Machine Learning
Key Digital Technologies Transforming U.S. Agriculture Introduction Welcome to the era of digital agriculture, where cutting-edge technologies are revolutionizing the way, we grow our food and manage our farms. In recent years, the agricultural industry in the United...
by admin | Jan 26, 2020 | Data Science, Machine Learning
Data Science (“DS”), Machine Learning (“ML”), and Artificial Intelligence (“AI”) applications are increasingly being used to analyze and develop deeper insights into everyday business activities. Having a functioning implementation of ML or AI model is a huge...
by admin | Dec 15, 2019 | Data Science, Finance, Machine Learning, Python
Measurement of Success of the Credit Card Fraud Detection ML Model Let’s review one of the most common use cases of machine learning (“ML”) algorithms – credit card fraud detection and measure its success in reducing losses. The problem is a...
