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You're reading from  The Economics of Data, Analytics, and Digital Transformation

Product typeBook
Published inNov 2020
PublisherPackt
ISBN-139781800561410
Edition1st Edition
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Bill Schmarzo
Bill Schmarzo
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Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

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Chapter 6: The Economics of Artificial Intelligence

  • Using Artificial Intelligence, you can create assets that appreciate in value, not depreciate, the more that these assets are used.
  • "Orphaned Analytics" are one-off analytics developed to address a specific business need but are never "operationalized" or packaged for reuse across the organization.
  • Deep Learning is a set of algorithms that analyze massive datasets using a multi-layered neural network structure, where each layer comprises numerous nodes, to train and learn to recognize and codify patterns, trends, and relationships buried in the data…without human intervention.
  • Reinforcement Learning is a class of machine learning algorithm that seeks to "learn" by taking actions within a controlled environment with the goal to maximize rewards while minimizing costs.
  • Transfer Learning is a technique whereby one neural network is first trained on one type of problem...
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You have been reading a chapter from
The Economics of Data, Analytics, and Digital Transformation
Published in: Nov 2020Publisher: PacktISBN-13: 9781800561410

Author (1)

author image
Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo