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While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies. Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods. This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form based on the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. The Content Business Analytics Artificial Intelligence AI and BA platforms Technology framework and procedure model as reference Case studies on the use of AI-based business analytics The Author Felix Weber is a researcher at the University of Duisburg-Essen with a focus on digitalization, artificial intelligence, price, promotion, assortment management, and transformation management. At the Chair of Business Informatics and Integrated Information Systems, he founded the Retail Artificial Intelligence Lab (retAIL). At the same time, he also worked on various jobs as a consultant for SAP systems in retail, Head of Data Science and as Head of ERP. He thus combines current practice with scientific research in this subfield. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Through two Colombian case studies, Sanne Weber identifies the ways in which conflict experiences are defined by structures of gender inequality, and how these could be transformed in the post-conflict context. The author reveals that current, apparently gender-sensitive, transitional justice (TJ) and disarmament, demobilization and reintegration (DDR) laws and policies ultimately undermine rather than transform gender equality and, consequently, weaken the chances of achieving holistic and durable peace. To overcome this, Weber offers an innovative approach to TJ and DDR that places gendered citizenship as both the starting point and the continued driving force of post-conflict reconstruction. --

Sollte Ökonomische Bildung als eigenes Fach oder besser als Integrationsfach unterrichtet werden? Band 2 der neuen Reiheuntersucht, welche ökonomische Bildung curricular in den unterschiedlichen Fächergruppen ökonomischer, politscher, gesellschaftlicher und arbeitsorientierter Bildung verankert ist. Die Ergebnisse liefern sowohl einen Maßstab als auch Kriterien für die curriculare Verankerung und Unterrichtspraxis einer allgemeinen sozioökonomischen Bildung – jenseits von Einseitigkeiten und Verzerrungen.

Technikfixierte Wende-Narrative wie die Energie- oder die Digitalwende erleben derzeit eine Konjunktur. Insbesondere Szenarien einer postfossilen Transformation konstruieren Technik als zentralen Hebel, um den Weg in eine klimaneutrale Gesellschaft zu meistern. Der Band zielt darauf, die aktuellen Problemlagen aus einer historischen Perspektive heraus zu betrachten: Die Beiträge historisieren das Denkbild der Technikwende. Für die Bereiche Energie, Verkehr, Kreislaufwirtschaft und Digitalisierung sowie für kriseninduzierte Umbrüche analysieren sie vergangene soziotechnische Übergänge. Sie diskutieren, inwieweit diese als "usable pasts" unser aktuelles Denken zu und Hoffen auf Technikwenden erweitern oder korrigieren können.

Market, society and legislation in transition -- Demographic trends and infrastructure development -- Social trends in the environment of mobility -- Development of markets and customers -- Changing mobility needs -- Regulatory trends -- Technology trends -- Electric drives -- Autonomous driving -- Digitalisation -- Mobility as a service -- Car sharing and bike sharing -- Becoming dangerous: Ride Hailing, Ride Sharing -- Giving Back: Corporate Social Responsibility through Vehicle Fleets -- Scenarios for Tomorrow's Mobility.

Will we soon be driven by autonomous electric taxis rather than steering our own car? Should cities introduce car sharing? What role will electric scooters, cable cars or man-carrying drones play? This book finally explains understandably what buzzwords like e-mobility, autonomous driving, digitalization, and mobility as a service really mean, how far advanced these technologies are today, and above all how they mutually depend on each other. In addition to the technical aspects, also legislative and social trends are considered, which represent important framework conditions with decisive influence on the mobility of the future. From the contents - Mobility needs: Who wants to go where, when, and why - and how will this change? - Technological trends: e-mobility, digitalization, autonomous driving - what will the vehicles of the future be capable of? - Car sharing, ride-hailing, e-scooters or public transport: What are future alternatives to the private car? - Politics and society: How will the framework conditions for mobility develop in the future? - Mobility in transition: What should we do to prepare for the future? About the author For many years, Dr. Julian Weber headed BMW's e-mobility innovation incubator, where he is today responsible for the digital transformation through utilization of vehicle generated data. Since 2008, he has been an adjunct professor at the Department of Automotive Engineering at Clemson University (USA). This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. .

Rugged times -- The Clayton grin -- More self-help -- Character flaws -- Free farmers -- Juicy, cornfed Nebraska sirloin -- Our fellow man -- macho man of trade -- Saving a major industry -- We barely survived -- No professional Machiavellian -- A second chance -- The world will thank you.