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Unleashing the Power of Data with Trusted AI

You're reading from  Unleashing the Power of Data with Trusted AI

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835467893
Pages 68 pages
Edition 1st Edition
Languages
Author (1):
Wendy Turner-Williams Wendy Turner-Williams
Profile icon Wendy Turner-Williams

Table of Contents (12) Chapters

1. Executive summary 2. Introduction to AI and generative AI 3. Modernizing the boardroom to steer data and AI 4. Navigating the future of AI by bridging strategies 5. Seven steps to ethical, quality, and trusted generative AI implementation 6. Real-world AI success cases 7. The future of generative AI in data and analytics 8. The road ahead: Embracing the AI revolution
9. Key takeaways for board members and executives
10. Conclusion: Embracing the future of data and AI
11. About the author
12. Bibliography

A journey through the AI evolution

The landscape of AI has traversed a remarkable evolutionary path, transforming from theoretical concepts to tangible solutions. Initially conceived as an ambitious pursuit to replicate human intelligence in machines, AI has evolved exponentially, navigating through several phases of development. To grasp the full potential of generative AI, it is important to explore some of the pivotal events and visionaries who have set the AI stage.

  • 1950 – 1970:
    • Inception: Alan Turing and John McCarthy laid the groundwork for AI.
    • Early stages: Emergence of symbolic reasoning and logic-based problem solving.
  • 1980 – 1990:
    • Challenges: AI faced setbacks like the machine translation failure.
    • AI winter: Lack of funding and progress led to setbacks.
    • Progress: Expert systems with rule-based AI emerged.
  • 2000 – 2010:
    • Surge of big data AI: Cloud computing and machine learning fueled AI.
    • Breakthroughs: Deep learning powered significant...
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