Decisions are in several cases made under complete or partial uncertainty, data analytics is helping to reduce uncertainty and to guide organizations in appropriate directions. What studies have shown is that the most difficult barriers to overcome in using new technologies for the benefit of organizations is not coming form data or algorimths or access to tools,. The barriers are related to talent development  for using what is available and from managmente that is not prepared to deal with the new trends and understanding of strategic and tactic implications of what is possible to find in technology use in the business environment. 

This course is for people with responsibilities in organizations who need to understand the principles of technology for dealing with data analaytics, and AI in the direction of creating solutions to succesfully compete in their own markets.

Strategic Intelligence in Organizations

Strategic Intelligence in Organizations

Strategic Intelligence is the fusion of Business Intelligence, Competitive Intelligence and Artificial Intelligence. It is the way to generate value for stakeholders from internal and external knowledge to compete and to achieve organizations' goals. This course introduces to the principles and ways to improve satrategic intellince in organizations from data to actions.

Principles and Practice in Data Analytics and AI

Principles and Practice in Data Analytics and AI

Preparation for adopting in appropriate way new technologies, dealing with risk of new technologies and potentializing the use of new knowledge is fundamental to move ahead in the creation of adaptive sustainable competitive advantages and generation of corporate's intelligence for the benefit of organization's stakeholders.

Understanding Enterprise Risk Management

Understanding Enterprise Risk Management

Enterprise Risk Management view at topa mangement is crucial to have as a means ont only for magament contorls systems design but also to design strategies for obtaining more benefits of new technologies, data analytics, AI and digitalization.