Artificial Intelligence for Climate Hazards - Couverture rigide

Jablonski, Adam; Jablonski, Marek

 
9781032561295: Artificial Intelligence for Climate Hazards

Synopsis

The aim of the monograph is to present a modern and original approach to the design and implementation of effective and efficient artificial intelligence solutions that ensure the induction of positive climate change. The monograph presents the application of digital business models and strategies combining solutions for digital and climate transformation. Digital platform solutions based on algorithms changing the functioning of technical organizations will be presented. Applied technological management, supported by elements of automation and robotics, will shape the emergence of new climate services. The mechanisms for implementing cybersecurity and safety principles described herein will serve to reduce climate hazards.

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À propos de l?auteur

Adam Jabłoński is a Full Professor at WSB MERITO University in Poznan, Poland. He is also Vice-President of the Board of the reputable management consulting company “OTTIMA plus” Sp. z o.o. (Ltd.), Katowice, and President of the “Southern Railway Cluster” Association, Katowice. He conducts extensive research on the design and implementation of business models that positively impact the climate, considering the principles of Digital and Climate Transformation supported by Artificial Intelligence solutions. Adam Jabłoński’s scientific interests focus also on climate responsibility concept.

Marek Jabłoński is an Associate Professor at WSB MERITO University in Poznan, Poland. He is also President of the Board of the reputable consulting company “OTTIMA plus” Sp. z o.o. (Ltd.), Katowice, and Vice-president of the “Southern Railway Cluster” Association, Katowice. Marek Jabłoński’s scientific interests focus on the business models concept, as well as climate-changing aspects and Digital and Climate Transformation supported by Artificial Intelligence solutions. He conducts extensive research on socio-technical systems with using evidence-based management concept.

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