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The AI Conundrum

Harnessing the Power of AI for Your Organization—Profitably and Safely

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The AI Conundrum

By: Caleb Briggs, Rex Briggs
Narrated by: Tim Morgan
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About this listen

A timely, practical guide to AI—its strengths, weaknesses, and real-world applications—for business professionals and policymakers.

Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI’s pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

The AI Conundrum:
  • Draws on the authors’ diverse expertise—in pure math, computer science, marketing, data science, and business—to make AI concepts and applications approachable for readers of all tech levels.
  • Provides a framework for comparing AI to the next best alternative, and for gauging where AI is likely be successful—or to pose greater risk than benefits.
  • Includes dozens of real-world case studies highlighting the successes and failures of AI applications across various industries.
  • Offers actionable insights for responsible implementation and risk mitigation.
  • Our website provides information on identifying potential problem areas, and how to perform a cost-benefit analysis.
The AI Conundrum is an invaluable resource for professionals and students seeking a full understanding of AI—its applications, limitations, and ethical considerations—as we enter a brave new era.©2024 Caleb Briggs and Rex Briggs (P)2024 G&D Media
Computer Science Forecasting & Strategic Planning Machine Theory & Artificial Intelligence Management & Leadership Data Science Artificial Intelligence Machine Learning Business

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