Top Five AI-ML Books For Business Leaders
Lakhani **Released:** 2020 The central idea of the whole book is to provide information about AI and how it has been changing the business industries.
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Key takeaways
- Lakhani Released: 2020 The central idea of the whole book is to provide information about AI and how it has been changing the business industries.
- It would be helpful for readers to use these codes as references and develop new codes.
- After reviewing all these books, I want to conclude that these are fantastic resources to understand AI power and how we can use it in business transformations.
According to a recent new forecast by Gartner, Inc., the worldwide hyper-automation would enable the software market up to $596.6 billion by 2022. The prediction is enough to say that technologies become a dire need for the highly competitive market. Among emerging technologies, Artificial Intelligence (AI) and Machine Learning (ML) are positioned at the top to bring automation to businesses. Business leaders are seeking to implement AI & ML to transform their traditional business processes. They are looking for resources to understand how it works. Here is a list of books that would help understand how AI and ML could be game-changers for their business. #
(1) Competing in The Age of AI: Strategy & Leadership When Algorithms And Networks Run The World #
Author: Marco Lansiti & Karin R. Lakhani
Released: 2020
Review & Features: #
The central idea of the whole book is to provide information about AI and how it has been changing the business industries. The authors have explained that AI, networks, and data analytic can remove traditional business constraints like scope, scale, and learning and support companies to design new business models.
The book has covered the concept “Age of AI” to point out that AI has been transforming businesses’ working styles and changing economic models. Authors urged that “AI is becoming the universal engine of execution”. AI is bringing new companies operating execution models by integrating different software, algorithms, and operating systems. The authors used the example of “Amazon” to articulate this concept and compared it with Walmart.
The transformation in competition is possible through the emergence of various digital operating models. The book has provided examples of some companies competing with each other. Snapchat, Facebook, Tencent (WeChat), and TikTok have adopted scalable digital operating models to stay in the competition.
The explanation about other concepts like AI factory, Strong and Weak AI, Framework, Strategic Collisions, and Ethics has been described with real-life examples. The authors took three industries, including entertainment: YouTube, Netflix; banking: Ant financial; and hospitality: Airbnb, to explain the recurring pattern. The author pointed out that Weak AI is more impactful to enhance business growth.
The book is perfect for every business leader who is thinking of transforming the business to compete in the market.
Amazon Link: #
(2) The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You #
Author: Mike Walsh
Released: 2019
Review & Features: #
The book is not like a traditional book. It has been considered a practical approach to learning AI, automation, and algorithms to transform everyday operations. According to the author, we live in a world where wonders happen every day because of technology. Still, we assume that robots are replacing human jobs. The author argues that it is not true; the fact is that human beings are unwilling to adopt the changes.
The author has extensively researched, interviewed business leaders, industry experts, and scientists to explore the potential of human intelligence in the future. He provided a simple definition of algorithm leader, “An algorithm leader is someone who has successfully adapted their decision making, management style, and creative output to the complexities of the machine age.”
To encourage human beings and push them to become ‘smart’, the author developed the “10 Principle” shown in the picture. The author explored varied industries, cultures, and history to understand how to get success using AI. His principles are surrounded by futuristic ideas such as machine learning, probabilistic thinking, disruptive innovation, decentralization, and digital ethics.
Through this practical knowledge, the author pointed out that first, change your mind, change the work style, and then you can change the world. This change is not stuck for business purposes only but also applicable to personal life.
The book articulated the power of algorithms and how it plays a vital role in every aspect of the business. This book is best for anyone who wants to learn from real-life experiences and those who want to learn only specific principles.
Amazon Link: #
(3) Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions #
Author: Matt Daddy
Released: 2019
Review & Features: #
“Business data science refers to a modern standard for data analysis to implement it for businesses”. The book aims to provide an essential concept of machine learning for solving business problems and help grow the business economy. The author has provided a toolset for business data science by integrating machine learning, statistics, and economics concepts.
The uncertainty, regression, regularization, validation, classification, controls, and factorizations are building blocks of machine learning. All of these concepts have been explained with various examples.
According to the author, “Machine learning is the field that thinks about how to automatically build robust predictions from complex data”. It has been pointed out that ML and statistics are closely related to each other, which is inspiring new ideas for designing new ML algorithms to solve any business problems.
Another feature of the book is snippet codes of R language to explain the data analysis methods. It would be helpful for readers to use these codes as references and develop new codes. Technologies have been changing everything, and it is forcing business leaders to make wise decisions. Applying the prediction concept and developing a system would help understand the future risk and make better decisions.
Henceforth, the book is an excellent resource for learning the principles, applications, and practices to explore business data sciences.
Amazon Link: #
(4) Artificial Intelligence for Business Leaders #
Author: Ait K Jha
Released: 2020
Review & Features: #
Readers do not require prior knowledge of AI and relevant topics. They do not need to learn complex algorithms and code to apply AI to drive their business. The book has covered all essential theoretical concepts to explain AI and how it can change every business. The author has provided a lucid definition of all concepts. For instance, “Machine Learning is a kind of Artificial Intelligence that provides computers the ability to learn without being explicitly programmed.” This simple definition of Machine Learning is easily understandable by anyone.
Another exciting feature of the book is that the author explained AI use-cases and practical examples to find out how AI makes business operations easy. Strategy formation before technology implementation is challenging for every business leader. The book has covered “Enterprise and Economic strategy” to help business leaders create effective business strategies.
Apart from this, most business leaders try to find other details about the technology, such as how disruptive it is, how it generated results in the past, where it failed, and what would be the future, or who is providing the services. The author has used examples of big companies like Amazon, Apple, Microsoft, and Google to describe all these.
All this information would be beneficial for readers to make a wise decision before adopting AI. In my opinion, the book is best not only for business encaustics but also for technology leaders to get the updated information in one place.
Amazon Link: #
(5) The AI-First Company: How to Compete and Win with Artificial Intelligence #
Author: Ash Montana
Released: 2021
Review & Features: #
The author wrote this book to encourage the formation of AI-First companies with capabilities of data gathering, processing, and using it in the required place. The author himself founded, The AI-First Company to support this encouragement.
The author highlighted that AI-First companies are trillion-dollar companies that would take top place among all industries. These companies follow the design principle to develop predictive models which perform prediction and automation of business functions. And, the book would help them to understand the practical implementation of AI.
The cornerstone of the book is its framework which consists of eight parts. The author explained each part through a single chapter. For instance, the first part brought a new concept, “Data Learning Effects (DLE)” designed using network, scale, and learning effects. The author has designed the following formula:
DLE = Economics of scale to data + data processing capabilities + data network effects #
Also,
Output = function (data, data processing capabilities, and data network effects) #
Besides this part, the next parts are related to lean AI, strategy formation, team building, execution, and advantages. All these parts would help readers to integrate AI with existing business processes to automate it. The recent conversation of Author Christian Lute, founder of Crate.io) has also pointed out the importance of AI and ML in business.
The book is unique to find out the systematic steps of AI implementation in the existing business.
Amazon Link: #
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Final Thoughts #
The availability of thousands of books always gets us confused, especially those who do not have a strong background in technology. I have recommended five AI and ML books for business leaders, executive managers, data scientists, and engineers through this article. All these five books cover theoretical concepts, original use-cases, original principles, and real examples related to ML and AI. After reviewing all these books, I want to conclude that these are fantastic resources to understand AI power and how we can use it in business transformations.
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