Entrepreneurship in Data Science and AI
Date
2024
Authors
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Publisher
McGraw-Hill Education (UK) Limited
Abstract
Description
In today’s interconnected and data-rich world, data science and artificial intelligence (AI) have risen to the forefront as transformative technologies that wield the power to reshape industries, enhance decision-making processes, and mold the future. From healthcare and finance to transportation and agriculture, the impact of data-driven insights and AI-driven automation is pervasive and irreplaceable. This is the reality of a new era in human history.
This textbook serves as a comprehensive guide for students who are eager to explore the intricate ecosystem where entrepreneurship converges with the transformative powers of data science and AI. It is a roadmap to understanding the multifaceted nature of this dynamic field, offering insights into various facets that collectively compose the vibrant tapestry of entrepreneurship within the Kingdom. The journey this textbook embarks upon is not merely a theoretical exploration but a tangible immersion into a dynamic landscape.
It is a landscape where ambitious entrepreneurs harness cutting-edge technologies, where the regulatory framework is thoughtfully explored to encourage innovation while safeguarding ethical principles, and where cultural nuances and local context play a defining role in shaping entrepreneurial endeavors. This textbook encapsulates the experiences, challenges, and successes that stem from this uniquely Saudi backdrop.
Saudi Vision 2030, which charts the course for Saudi Arabia’s socioeconomic transformation, recognizes the pivotal role that data science and AI play in achieving its goals. It envisions a future where innovation is nurtured, knowledge is cultivated, and the entrepreneurial spirit is embraced as driving forces in the nation’s development. In the pages that follow, we will encounter a wealth of knowledge and experience, exploring the stories of entrepreneurs who have ventured into the realm of data science and AI, discovering the regulatory landscape that ensures the responsible use of these technologies, and unraveling the unique characteristics of the Saudi Arabian market that make it a fertile ground for innovation.
Keywords
Data Science, Machine Translation, JavaScript