1. Context and General Overview

• The intersection of artificial intelligence and blockchain: Why does it matter?

• Key technology trends driving AI-Blockchain convergence.

• Success stories: How companies are using these combined technologies.

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2. Investment Opportunities

• Identification of disruptive sectors: Finance, health, logistics and more.

• AI and blockchain startups: How to evaluate their growth potential.

• AI Data Tokenization: A New Paradigm for Investors.

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3. Technological Innovations and Practical Applications

• Smart contracts powered by artificial intelligence: Advanced automation.

• Decentralized machine learning: Privacy and data ownership.

• Blockchain as an enabler of trusted data for AI systems.

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4. Challenges and Ethical Considerations

• Decentralized governance vs. centralized control: Balance between technology and humanity.

• Transparency and traceability: Resolving bias in AI models with blockchain.

• Privacy in the age of convergence: Handling sensitive data securely.

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5. Regulation and Compliance

• Regulatory framework for AI and blockchain projects: Global perspectives.

• Legal implications of AI-based smart contracts.

• Tax and compliance challenges for investments in emerging technologies.

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6. Economic and Social Impact

• How convergence is redefining supply chains and business models.

• The role of these technologies in global financial inclusion.

• Applications for sustainable development and emerging economies.

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7. Future of the Market and Investment Strategies

• Funds specialized in AI and blockchain: Assessment of risks and benefits.

• Projected trends in business adoption and technological innovation.

• Risk mitigation in disruptive technological investments.

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8. Collaboration between Sectors

• Opportunities for the public and private sector in joint AI and blockchain projects.

• Development of international standards for technological interoperability.

• Role of technology consortia in creating robust ecosystems.