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From Machine Learning to Artificial Intelligence The Modern Machine Intelligence.pdf
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1700多页的大型资料，内容超级丰富，极具参考价值！
而且很新，2025年才上线！
Few digital innovations have promised as much transformative potential as artificial intelligence (AI). It has the ability to learn, reason, and act autonomously. It has started revolutionizing industries, from the financial sector to healthcare to education to even linguistics. In recent years, AI has also emerged as a powerful tool for addressing pressing global challenges, particularly in the realms of finance, economics, and business.
This Resource aims to explore AI and machine learning in the context of financial and
economic inclusion and their application as well as implications in various industries.
It is a testament to the belief that AI and machine learning have a significant role in
bridging digital barriers across industries and cultures, expanding access to financialand other services, and promoting economic growth for all.
This Resource is targeted toward a wide audience, including academics, students,
researchers, practitioners, and policymakers interested in the intersection of business, finance, economics, linguistics, and AI. It is our hope that this work will inspire
innovation, foster collaboration, and contribute to a more inclusive and equitable
future. Throughout the Resource, we emphasize the importance of sustainable development and technology augmentation. We address concerns related to bias, privacy,
and transparency and explore the measures that can be taken to mitigate these risks.
This showcases a variety of important issues and topics related to economy and
business including the impact of strategic intelligence in developing organizational
agility, neuromarketing and social media in education, integration of AI in nformation systems for enhanced business performance, economic recovery, and COSO systems for improving financial performance. It further examines financial inclusion and the financial sector by exploring topics such as information echnology governance and financial reporting, digital transformation in accounting on financial information quality, and the extent of using the extensible business reporting language (XBRL) in industrial companies.
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