In the era of data-driven decision-making, businesses are increasingly turning to Artificial Intelligence (AI) to gain insights, streamline processes, and enhance competitiveness. However, as AI systems become more complex and pervasive, the need for transparency and accountability in their decision-making processes has become paramount.
Connected and autonomous vehicles (CAVs) have the potential to disrupt industries and consumer behavior, transforming urban spaces, modes of transportation use, and a significant portion of mobility-related employment. The arrival of CAVs on the market will generate a new world of business and social opportunities that, however, are not free from challenges and threats.
In the era of Big Data, great new opportunities are continually being created for virtually all business functions. Through Big Data, companies can accumulate competitive benefits, which can be conclusive if they also learn to use them on an efficient scale and are able to routinize the extraction of value from data using appropriate technique. However, Big Data and all its potential will come to nothing if companies do not transform and equip themselves with the culture and resources necessary to face the challenge.
Stories of cyber-attacks have become routine, with cyber-attackers showing increasing levels of sophistication and damage inflicted. This explains why it is absolutely key for transformational leaders to be aware of the magnitude of the challenges they face, understand what is at stake, and take into account 3 key factors to design the most successful cybersecurity strategy possible.
Companies are facing a shortage of software developers around the world. The number of software developers needed to cover all of the industry's needs is staggering and only increasing. The implementation of a Low-code/No-code development strategy offers a way to alleviate the problem of the shortage of software developers and manage the growing complexity in the development of software systems.