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In this episode of the Unriveted Podcast, we welcome back Dr. Joan Palmiter-Bajorek to discuss the evolving landscape of artificial intelligence and digital transformation. The conversation covers the democratization of AI tools, the critical importance of clean data, the challenges of bias in AI models, and the future of AI companies. Dr. Bajorek emphasizes the human element in AI development and addresses the anxiety many face regarding careers in the AI era. The episode concludes with insights on navigating these challenges and the importance of resilience in the changing job market.

Also Dr. Joan’s book: Your AI Roadmap is available from Amazon.com for preorder.

Takeaways
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👉 The democratization of AI tools allows more people to build applications.
👉 Data quality is crucial for effective AI and machine learning models.
👉 Bias in AI models often stems from the data they are trained on.
👉 Companies need to understand and manage their own data effectively.
👉 The future of AI may see fewer viable companies due to high costs.
👉 Human relationships and understanding are key in AI development.
👉 Career anxiety is prevalent as AI continues to evolve.
👉 Resilience is essential for individuals navigating the AI landscape.
👉 Data cleaning and management are often undervalued in organizations.
👉 The AI landscape is rapidly changing, requiring adaptability from businesses.

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Our latest Unriveted episode featuring Dmitri Alperovitch, focuses on AI, geopolitics, and the U.S.-China tech race 🌍🇺🇸🇨🇳

In this episode, Dmitri Alperovitch, co-founder of CrowdStrike and expert on national security, dives deep into the unfolding Cold War 2.0 between the USA 🇺🇸 and China. 🚨 His insights reveal how AI, semiconductors, biotech, and green energy have become the battlegrounds of the 21st century, with control over these technologies potentially determining global dominance. 🧬💻⚛️

Key Takeaways:

1. U.S. Policy Shifts: Dmitri discusses the bipartisan support for strict export controls and technological restrictions on China, which aim to keep the USA ahead in AI and semiconductor development. 🔒

2. China’s Strategy: With the “Made in China 2025” initiative, China aims to lead critical sectors like AI and aerospace by achieving independence from Western tech while heavily investing in domestic industries. 🇨🇳🛠️

3. Global AI Influence: From Southeast Asia to media platforms like TikTok, both the U.S. and China are vying for influence in AI, economics, and culture. This fight extends far beyond borders, impacting policies worldwide. 📈🌐

4. AI & Military Implications: AI’s role in military advancements could make it as transformative as the atomic bomb—a future where the USA aims to maintain a lead over any potential adversaries. 🛡️🤖

This episode further explores the tough choices facing policymakers and the high-stakes race to secure technological dominance in a complex global landscape. 🌍🔥

#AIRevolution #InnovationRace #DigitalTransformation #TechPolicy #election2024

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In this episode of Unriveted, hosts Martin Miller and John Sukup engage with Rich Heimann, an independent advisor and author, to explore the evolving landscape of artificial intelligence, particularly generative AI. Rich shares his background in statistics and machine learning, emphasizing the importance of understanding AI's capabilities and limitations. The conversation delves into the hype and skepticism surrounding AI, the historical context of AI bubbles, and the role of AI as an enabler in business. Rich offers insights for executives on navigating the fast-changing technology landscape, advocating for a balanced approach to investment in AI.

Takeaways
Rich Heimann emphasizes the importance of understanding AI's capabilities and limitations. Generative AI is rapidly changing and requires organizations to adapt quickly. The hype surrounding AI can create both opportunities and challenges for businesses. Historical AI bubbles highlight the need for cautious optimism in the current landscape. AI should be viewed as an enabler rather than a standalone product. Executives should focus on long-term positioning rather than immediate returns. Investing in AI should be balanced with flexibility to adapt to new developments. Statistical modeling provides a useful framework for understanding AI applications. The skepticism towards big tech impacts the adoption of AI technologies. Rich's book aims to help organizations navigate the narratives surrounding AI.

Link to book: Generative AI Revealed
https://www.generative-ai-revealed.com/

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