Summary
Chapters
Video Info
Jim Sterne, author and Board Chair of the Digital Analytics Association, discusses and provides a framework for understanding ways marketing and artificial intelligence can partner to produce tangible results.
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Chapter 1: Selma Avdic of the American Marketing Association Introduces Jim Sterne and the Topic Artificial Intelligence for Marketing
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Chapter 2: Jim Sterne Introduces Artificial Intelligence for Marketing
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Chapter 3: Jim Sterne Explains the Basics of Computer Software Modeling
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Chapter 4: Jim Sterne Explains Three Realms of Artificial Intelligence and Machine Learning: Natural Language Processing, Vision, and Conversation
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Chapter 5: Jim Sterne Discusses Bots and Robots
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Chapter 6: Jim Sterne Discusses Three Basic Elements of Machine Learning
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Chapter 7: Jim Sterne Discusses Why and How to Measure, and Using Data Analytics
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Chapter 8: Jim Sterne Discusses the Development of Customer Taxonomies and Data Trustworthiness
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Chapter 9: Jim Sterne Discusses Applicability of Machine Learning
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Chapter 10: Jim Sterne Discusses Ways to Work With Artificial Intelligence
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Chapter 11: Jim Sterne Discusses the Biases and Limitations of Artificial Intelligence and Using the Smell Test
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Chapter 12: Jim Sterne Discusses Selecting, Cleaning, and Familiarization With Datasets
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Chapter 13: Jim Sterne Discuss Ways to Incorporate Artificial Intelligence Into the Marketing Research Process
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Chapter 14: Q&A: Jim Sterne Answers How Artificial Intelligence and Workforce Analytics Might Affect Recruitment
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Chapter 15: Q&A: Jim Sterne Shares Thoughts About Software Vendors Claiming Machine Learning is Built Into Their Solutions
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Chapter 16: Q&A: Jim Sterne Answers How Soon the Use of Artificial Intelligence Should be Implemented
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Chapter 17: Q&A: Jim Sterne Answers Whether an AI Ecosystem Graphic Exists That Provides Insight Into Different Types of AI-Related Firms
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