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1. |
Record Nr. |
UNINA9910229853403321 |
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Titolo |
Cal law : trends and developments |
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Pubbl/distr/stampa |
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[San Francisco, Calif.], : Golden Gate College, School of Law, : Bancroft-Whitney, c1968-c1970 |
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Descrizione fisica |
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Materiale a stampa |
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Livello bibliografico |
Periodico |
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2. |
Record Nr. |
UNINA9910992778903321 |
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Autore |
Elyashiv Tal |
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Titolo |
Investing in Revolutions : Creating Wealth from Transformational Technology Waves / / by Tal Elyashiv |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XVII, 247 p. 39 illus., 36 illus. in color.) |
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Disciplina |
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Soggetti |
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Technological innovations |
Technological innovations - Finance |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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CHAPTER 1: Understanding the Technology Evolution Cycle Through History -- CHAPTER 2: Identifying the Trends and Spotting the Next Big Wave -- CHAPTER 3: Exponential Growth and the Laws That Drive Innovation -- CHAPTER 4: Inflection Points and the Difference Between Reality and Hype -- CHAPTER 5: The Convergence Effect -- CHAPTER 6: Technology Life Cycles, Waves and Darwinism -- CHAPTER 7: |
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Technology Revolutions’ Cast of Corporate Characters -- CHAPTER 8: Investing in the Quantum Revolution: An Active, Not Passive, Pursuit -- CHAPTER 9: Quantum Revolution Investment Scenario Examples, or Putting Theory to Practice -- EPILOGUE: Embracing the Quantum Revolution – A Historic Opportunity -- APPENDIX A: Sources/Citations. |
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Sommario/riassunto |
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Take a deep dive into the life cycle of revolutionary technologies. This book is a pivotal read for anyone looking to navigate the burgeoning world of technology investment and serves as a crucial guide for those eager to delve into the complexities and immense potential of emerging technologies like Blockchain, Web3, AI, VR/AR, Quantum computing or Genomics. The book traces the growth journey of these various innovations, offering readers a comprehensive view of how technologies evolve, mature, and potentially (and eventually) transform markets and societies. What makes this book unique is its fusion of forward-looking insights with valuable historical context. It doesn't merely present a roadmap for the future; it anchors its guidance in lessons learned from past tech revolutions. This approach provides a robust framework for understanding not just where technology is heading, but also the why and how behind its trajectory. More than just an investment guide; it's a lens through which you can view the unfolding future of technology. The book offers a balanced view, recognizing the potential pitfalls and hype that often accompany emerging tech, while highlighting the genuine opportunities for creating wealth and driving innovation. Whether you're looking to make your first investment in a tech startup, diversify your portfolio with tech stocks, or simply gain a deeper understanding of how technological innovations shape our world, Investing in Revolutions is an invaluable resource. You will: Identify emerging transformational technologies. Understand the ecosystem and investment opportunities of these emerging technologies. Differentiate between overhyped tech fads and technologies with real, sustainable impact. Examine strategies for investing in the tech space, while carefully balancing the risk-reward equation. Navigate uncertainties and make calculated decisions to maximize potential returns. |
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3. |
Record Nr. |
UNINA9911022159703321 |
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Autore |
Choi Paul Moon Sub |
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Titolo |
Finance and Large Language Models / / edited by Paul Moon Sub Choi, Seth H. Huang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (245 pages) |
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Collana |
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Blockchain Technologies, , 2661-8346 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Blockchains (Databases) |
Financial engineering |
Financial risk management |
Artificial intelligence |
Blockchain |
Financial Technology and Innovation |
Risk Management |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Large Language Models in Finance: An Overview -- Housing price estimation and reasoning based on a large language model -- Advancing Quantitative Trading Strategies Using Fine-Tuned Open-Source Large Language Models: A Hybrid Approach with Numerical and Textual Data Integration Using RAG and LoRA Techniques -- Foundations of LLMs and Financial Applications -- Voluntary Sustainability Disclosure and Third Party Assurance: A Large Language Model Perspective -- Verbal Femininity and CEOs Compensation -- Integrating LLM-Based Time Series and Regime Detection with RAG for Adaptive Trading Strategies and Portfolio Management -- Empirical Factor Identification for Artificial Intelligence in Finance: Indian Evidence -- Large Language Models in Personal Finance: Cost-Effectiveness and Quality Compared to Human Experts -- Automated Trading Techniques with AI Agents: Deep Learning Algorithms for Efficient Market Strategies. |
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Sommario/riassunto |
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This book highlights how AI agents and Large Language Models (LLMs) are set to revolutionize the finance and trading sectors in unprecedented ways. These technologies bring a new level of sophistication to data analysis and decision-making, enabling real-time processing of vast and complex datasets with unparalleled accuracy and speed. AI agents, equipped with advanced machine learning algorithms, can identify patterns and predict market trends with a level of precision that may soon surpass human capabilities. LLMs, on the other hand, facilitate the interpretation and synthesis of unstructured data, such as financial news, reports, and social media sentiments, providing deeper insights and more informed trading strategies. This convergence of AI and LLM technology not only enhances the efficiency and profitability of trading operations but also introduces a paradigm shift in risk management, compliance, and personalized financial services. As these technologies continue to evolve, they promise to democratize access to sophisticated trading tools and insights, leveling the playing field for individual traders and smaller financial institutions while driving innovation and growth across the entire financial ecosystem. |
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