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How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making

Über How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making

Today¿s most precious raw material is not gold, but Big Data: Each one of us generates a huge amount of information every single day, rendering thus both ourselves and our choices transparent. But in addition to that, Big Data helps companies to improve their decision-making. Since managers have to address highly complex issues in an ever more complicated world, they cannot do without Big Data and Artificial Intelligence, as Carolin Nothof explains. By taking into account various external factors, their algorithms predict right entrepreneurial choices. These choices can be made in areas such as retail, Human Resources, the Internet of Things, and marketing. Nothof¿s publication is not only rich in theoretical explanations, but also gives examples of the practical use of Big Data in various industries. Machines are a man¿s best co-workers. In this book: - Big Data; - decision-making; - AI; - Behavorial Economics; - Machine Learning; - algorithms

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783960954873
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 84
  • Veröffentlicht:
  • 3. April 2019
  • Abmessungen:
  • 210x148x5 mm.
  • Gewicht:
  • 122 g.
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Beschreibung von How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making

Today¿s most precious raw material is not gold, but Big Data: Each one of us generates a huge amount of information every single day, rendering thus both ourselves and our choices transparent. But in addition to that, Big Data helps companies to improve their decision-making.
Since managers have to address highly complex issues in an ever more complicated world, they cannot do without Big Data and Artificial Intelligence, as Carolin Nothof explains. By taking into account various external factors, their algorithms predict right entrepreneurial choices.
These choices can be made in areas such as retail, Human Resources, the Internet of Things, and marketing. Nothof¿s publication is not only rich in theoretical explanations, but also gives examples of the practical use of Big Data in various industries. Machines are a man¿s best co-workers.
In this book:
- Big Data;
- decision-making;
- AI;
- Behavorial Economics;
- Machine Learning;
- algorithms

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