Management needs to look beyond data and algorithms to explore how artificial intelligence is transforming the essence of management

Academic degrees in Artificial Intelligence focus too often on Data Science per se than its transformative impact in organizations and markets.

The business value of Data Science depends upon aligning AI projects with corporate strategy, culture and resources

Focused investments in human and machine intelligence that will add value to your career and your organization

What are the sources and significant examples of implicit bias in artificial intelligence? What can be done to minimize their consequences in establishing acceptable data practices?

Before suggesting that AI can enhance human potential, it can be useful to ask what separates humanity from the constant progress of technology. 

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.