Artificial intelligence is being applied across various business sectors, including agriculture. Alongside AI, other advanced technologies such as the Internet of Things (IoT) and robotics are transforming this sector. This advancement is known as smart farming, which refers to the application of technology to optimize agricultural production. This concept can sometimes be confused with precision […]

If you follow the tech news or even our blog, you’re probably tired of hearing that Generative Artificial Intelligence is increasingly revolutionizing the way organizations handle their processes and workflows. However, one technology that stands out within this vast umbrella is what’s known as Multi-agent Systems (MAS). Regarded as one of the major technological trends

In data-driven organizations, decisions are based on data analysis and interpretation, rather than intuition or past experiences. In this context, data governance plays a critical role in ensuring the quality, security, and integrity of the information being used. In this blog post, we’ll explore the essential relationship between data governance and artificial intelligence (AI) initiatives,

The rapid advancement of Artificial Intelligence (AI) has revolutionized the way we interact with machines. According to research completed by Exploding Topics, 77% of companies are either using or exploring AI in their businesses and 83% claim that AI is a top priority in their business plans. One of the most impactful applications of AI

Artificial Intelligence (AI) is often celebrated as a revolutionary development of the digital age, yet its origins stretch much further back in time. Long before modern innovations like ChatGPT, there were key figures and early systems that laid the groundwork for today’s AI landscape. In the 1950s and 1960s, researchers began experimenting with symbolic AI