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We cannot easily predict the future; usually, we are not even close. Human evolution has conditioned our brains to promote simplicity as an adaptation to uncertainty. Most of our decisions are based on intuition; especially in uncertain environments, where we are programmed to ignore information and rely on heuristics. Good human-driven decision making then, must go beyond the information given, and therefore, not rely solely on logic for the mere reason that our emotional brains cannot process all the data out there. When making decisions, executives and government leaders count on their years of experience and on their ‘gut feelings’. And yet, the algorithmic leap forward can augment our bounded rationality and propel human decision making into a new era.

Today’s data-driven organizations must perceive data-driven intelligence as a complementary to human intelligence. At IKH, our team of PhDs can help you frame the problem and through our tailor-made models harness internal and external data to reach well thought out decisions. Data-driven intelligence does not play the role of a deus ex machina; it is just another tool in the palette of modern-day executives and government leaders.

Is your organization ready for data-driven decision making?


Nikolaos Simou

Nikos is a big guy with a big smile. He is the go-to man when things turn foggy. Nikos leads our data-driven intelligence core and has published papers on semantic web, ontologies, and knowledge representation, among others. He is a linked data expert and has been involved in many EU projects coordinating activities related to semantic interoperability, resource discovery and linking. Nikos received his PhD from the National Technical University of Athens (NTUA) and his thesis work examined how reasoning for expressive fuzzy description logics can be applicable in real world scenarios. He received both his MSc and BSc from the University of Sussex. He eats his pasta al dente and roasts his own coffee beans.

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Antonis Porichis

From an early age, Antonis has been fascinated by how intelligence evolves in humans and whether it will be possible to reverse engineer it and transplant it into machines. It came as no great surprise then, when he set the curve in Stanford’s MOOC Probabilistic Graphical Models and was invited, the following semester, to participate as a mentor. At IKH, Antonis is leading the Industrial Internet core and oversees the computer vision and machine learning teams. In his last project, he worked with 3D computer vision and image texture analysis destined for outdoor environments. Antonis was also involved in designing the control software architecture of the hexapod robotic subsea trencher. He is a Dipl-Ing from the National Technical University of Athens (NTUA) and his honor thesis employed a combination of generative models and unsupervised learning to model the decision-making process of surgeons performing a laparoscopy. His work earned him the superior honors thesis award for his class year. In his free time, he enjoys soccer and strategy-based video games. His favorite lunch talk is contemporary politics.

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