Define the term "Digital Intelligence".

Digital Intelligence refers to the capability of systems to process and analyze data, extract meaningful insights, learn from those insights, and subsequently make autonomous decisions based on the information available. This encompasses various aspects of artificial intelligence, machine learning, and data analytics, which collectively enable systems to mimic human cognitive functions in a digital environment.

The importance of this definition lies in its focus on the system's ability to adapt and operate independently, which aligns with the principles of creating intelligent systems capable of enhancing efficiency and decision-making across various applications. This is particularly relevant in fields such as personalized marketing, predictive analytics, and real-time decision support systems, where data-driven insights lead to improved outcomes and innovations.

The other options provided do not adequately encapsulate the essence of Digital Intelligence. Manual data entry pertains to human-driven processes and lacks the automated analytical capabilities inherent to Digital Intelligence. Similarly, increasing internet security relates more to cybersecurity practices and does not address the broader cognitive and data-driven decision-making aspects of Digital Intelligence. Finally, focusing solely on hardware components misses the critical software and intelligence functionalities that define Digital Intelligence as a concept, which goes far beyond the physical machinery involved.