When we talk about environmental sustainability, we often refer to the negative impact of technologies on the world around us. Yet if we dwell more on the use than the potential of specific innovations, we see that it all depends on how we choose to act. In fact, among the innovations of the Internet of Things and Artificial Intelligence, several can help companies increase the levels of environmental sustainability of their processes if used correctly. Here's how Artificial Intelligence and IoT can improve environmental sustainability. "development that meets the needs of the present without compromising the ability of future generations to meet their own needs."

Digital can tiptoe into the business, in the easiest processes to change, or completely disrupt the business model and the entire organization. In the second case, effort and investment will be greater but radically improve the business. Here are the 5 benefits organizations gain from undertaking digital business change. The power encapsulated in the word "transformation" expresses the effort needed to change a company in depth. Indeed, making the most of digital innovations requires more than just installing automation software or making individual departments or processes digital.

If companies are changing to exploit the potential of digital business, can the leader's figure ever remain anchored to old practices? The cultural transformation underway necessarily requires an adjustment of professional figures and corporate roles to the new business models and visions. Abandoning the beliefs that worked in the past means using an approach that is more in line with the new goals of Digital Transformation. Let's see what aspects the digital leader will need to work on. We imagine a charismatic man or woman mass dragger when we hear the word leader. A kind of hero who can be trusted to achieve a goal.

It's been years since Artificial Intelligence became part of our everyday language. Yet, even today, we refer to this technology as humanizing it. The question "is Artificial Intelligence ethical?" is a poorly posed question because it assumes that the technology has consciousness. Instead, it is a tool whose effects depend solely on the programming done by humans. However, understanding what design boundaries should not be crossed helps limit its risks.

If companies are changing to exploit the potential of digital business, can the leader's figure ever remain anchored to old practices? The cultural transformation underway necessarily requires an adjustment of professional figures and corporate roles to the new business models and visions. Abandoning the beliefs that worked in the past means using an approach that is more in line with the new goals of Digital Transformation. Let's see what aspects the digital leader will need to work on. We imagine a charismatic man or woman mass dragger when we hear the word leader.

Artificial Intelligence is one of the most versatile solutions to implement in the enterprise. The reason is simple: the software and technologies required are flexible and can be modulated according to the size of the business and the budget to invest. Today, AI is no longer in the experimental stage, and this allows us to know in advance how it could intervene in business processes to improve their performance and efficiency. But what are the possible applications of Artificial Intelligence? Let's see it through the benefits it brings to the main business departments.

Every time we interact with a digital device, we produce data. Some of it is important, some less so, and some of it seems irrelevant simply because we don't recognize its potential. Companies that have relied on Data Scientists have discovered how to transform even marginal data into useful information. This has greatly simplified decision-making processes. Let's look at what data science is and why it's indispensable today for accurate forecasting.

Giving a definition of Artificial Intelligence is not easy especially for its many areas of application. So, what is Artificial Intelligence from a computer science point of view? It is the discipline that studies all the theories and techniques useful for the elaboration of an algorithm that, using cognitive methods, is able to process a large amount of data. Software that uses AI provides a probabilistic output that is different from the deterministic output generated by traditional software. Now let's look specifically at how it differs from human reasoning and what we mean by neural networks, machine learning, and deep learning.

Critical reasoning, the ability to argue answers, creativity are human faculties that need a cognitive approach. Can we find these abilities in Artificial Intelligence? Currently not, but thanks to technologies, software, and algorithms, we can enhance our skills and reduce our daily workload. Here's how Artificial Intelligence can see, think and act. Words, thought, and action are concepts that, in Artificial Intelligence, belong to the reasoning sphere more than to the emotional one.