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Harit Joshi

Learners will examine the core principles and business applications of each technology: blockchain’s ability to enhance transparency, security, and trust; AI’s capacity to automate tasks, analyze complex data, and support intelligent decision-making; and IoT’s role in connecting devices to drive smarter operations and real-time insights.

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Learners will examine the core principles and business applications of each technology: blockchain’s ability to enhance transparency, security, and trust; AI’s capacity to automate tasks, analyze complex data, and support intelligent decision-making; and IoT’s role in connecting devices to drive smarter operations and real-time insights.

Through a combination of case studies, hands-on projects, and guest lectures from industry experts, participants will evaluate the strategic use of these technologies across sectors such as finance, healthcare, supply chain, and marketing. The course encourages critical thinking and innovation, equipping learners with the tools to assess technological readiness, manage change, and lead digital transformation initiatives.

By the end of the course, learners will be able to identify emerging technology trends, understand their business implications, and develop strategies to leverage these technologies for innovation, growth, and long-term sustainability in a rapidly evolving digital landscape.

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What's inside

Syllabus

Business Models for the Digital Age
This course explores the transformative impact of emerging technologies on the future of business, focusing on blockchain, artificial intelligence (AI), and the Internet of Things (IoT). MBA students will gain a comprehensive understanding of how these technologies are reshaping industries, driving innovation, and creating competitive advantages. The curriculum delves into blockchain's role in enhancing transparency and security, AI's potential in automating processes and enhancing decision-making, and IoT's capability to connect devices for smarter operations. Through case studies, hands-on projects, and expert guest lectures, students will learn to evaluate and implement these technologies in various business contexts. By the end of the course, participants will be equipped with the strategic insights and practical skills necessary to leverage emerging technologies for business growth and sustainability in a rapidly evolving digital landscape. In this module, you will learn about how new-age business models have been facilitated by the new technologies. The availability of fast internet on smartphones has led to the emergence of platform-based business models where products and services are available for sharing and on-demand. The module also explores how coordination becomes a key value in these platforms matching the two sides of the market.
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Career center

Learners who complete Emerging Technologies & Digital Business will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Provides a gentle introduction to machine learning, making it accessible to readers with no prior knowledge of the field. It covers the basics of machine learning algorithms and their applications in various domains.
Comprehensive guide to deep learning, covering the latest advances in the field. It valuable resource for researchers and practitioners who want to stay up-to-date on the latest developments in deep learning.
Provides a practical introduction to cloud computing, covering topics such as cloud architecture, cloud services, and cloud security. It helpful resource for anyone who wants to learn more about cloud computing and its applications.
Explores the challenges and opportunities of innovation and entrepreneurship in the emerging technology sector. It provides insights into the processes of developing and commercializing new technologies.
Explores the potential risks and benefits of AI, considering its impact on the economy, society, and the future of humanity. It thought-provoking read that challenges us to consider the ethical and societal implications of AI.
Explores the concept of the singularity, a hypothetical point in the future when technological progress becomes so rapid that it becomes impossible to predict the future. It fascinating and thought-provoking read that challenges us to consider the potential long-term consequences of our technological advancements.
Explores the potential risks and benefits of superintelligence, a hypothetical AI that is far more intelligent than humans. It thought-provoking read that challenges us to consider the ethical and societal implications of superintelligence.
Explores the impact of emerging technologies on the economy and the workforce. It argues that we are entering a new era of economic growth and prosperity, but that we need to adapt our policies and institutions to the challenges and opportunities of the Second Machine Age.
Explores the use of emerging technologies in language learning, such as AI, virtual reality, and augmented reality. It provides insights into the potential benefits and challenges of using these technologies to enhance language learning experiences.
Provides a foundational understanding of how digital technologies are transforming the economy and society. It's highly relevant for gaining a broad understanding of the impact of emerging technologies like AI and automation. While not published in the last five years, it remains a crucial text for comprehending the underlying forces driving current technological shifts and is often referenced in discussions about the future of work and technology's societal impact.
Kevin Kelly outlines twelve technological trends that he believes are shaping the next three decades. is excellent for gaining a broad perspective on various emerging technologies and their potential convergence. It provides a framework for understanding the long-term trajectory of technological development and is valuable for both introductory and deeper understanding.
Explores the concept of technological convergence and how various emerging technologies like AI, robotics, IoT, and blockchain are intersecting to create rapid change. It's highly relevant for understanding the contemporary landscape of emerging technologies and their potential to disrupt industries. Published recently, it offers a current perspective on the speed and scale of technological advancement.
Focusing specifically on Artificial Intelligence, this book provides a deep dive into the AI landscape, particularly the competition between the US and China. It's essential for understanding a key emerging technology and its global implications. The author's expertise in the field makes thvaluable resource for those looking to deepen their understanding of AI and its impact.
Provides a critical examination of how technology companies are utilizing personal data, defining a new form of capitalism. It's highly relevant for understanding the ethical and societal implications of emerging technologies, particularly those related to data collection and analysis. It offers a crucial perspective on the challenges and potential dangers of unchecked technological advancement.
Offers a comprehensive introduction to blockchain technology and its potential to transform various industries beyond just cryptocurrency. It's valuable for gaining a broad understanding of this specific emerging technology. It serves as a good starting point for exploring the concepts of decentralization and distributed ledgers.
Explores the impact of digital technologies, particularly mobile technology and data, on the healthcare industry. It's a good example of how emerging technologies are specifically transforming a major sector. It provides insights into personalized medicine, remote monitoring, and the changing role of patients and physicians.
Considered a foundational textbook in the field of deep learning, a key area within AI. is highly technical and suitable for those looking to deepen their understanding of the algorithms and models behind many emerging AI applications. It is commonly used in academic settings and by researchers.
A classic textbook on artificial intelligence, this book covers a wide range of topics, including machine learning, natural language processing, and computer vision. It valuable resource for anyone interested in understanding the theoretical foundations of AI.

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