Transforming promising ideas into pertinent data practices requires looking beyond the APIs

The current evolution of digital technologies and analytics open up a myriad of market opportunities and ethical challenges for the practice of Digital Marketing.

Plotting a course towards the future of intermodal transport requires understanding the current challenges facing intermodal transportation, accounting for the nature and the potential of AI, and applying a practical framework for transforming data into action.

How important is data ethics, what issues need to be addressed, which themes should be explored, and how can the subject be taught effectively?

 As the health care industry focuses on the benefits of Artificial Intelligence, medical students and practitioners must not lose sight of how technology is shaping the future of the profession.

If ethics is defined as shared values that help humanity differentiate right from wrong, the increasing digitalization of human activity shapes the very definitions of how we evaluate the world around us.

How can human and machine intelligence together be leveraged to bring tangible benefits to the business? 

Let’s explore how the Random Forest algorithm is used in machine learning, its basic assumptions and use scenarios, as well as what precautions we should take when relying on this methodolog

What exactly are vector support machines, how do they work, how do they differ from other machine learning algorithms, and what are their use scenarios in data science?

In the digital economy, competitive advantage is tied to understanding the primacy of trust rather than that of data. Let’s explore the nature of the challenge, to what extent GDPR is the answer, and how companies can harness “Trust by Design” in preparing for a post-GDPR world.