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UNDISRUPT - Artificial Intelligence led Digital Transformation: 5 stages to decode: Business Outcomes, Data, Culture, Boardroom & Risk
This book is about a five-step framework for leaders who want to use AI & Data to transform their businesses. Armed with real-world case studies from established markets like the USA, Europe as well as emerging markets like China, and India, based on research, insights from interviewing C-suite leaders, and interactions with directors-founders-CEO, stories of success as well as some failed attempts woven into this guidebook will help you make up a framework in 5 stages that every business will need for Al-led transformations.
It will help you make decisions across all levels and on a broad spectrum of issues ranging from data to culture to boardroom to risks. You may be a business leader, a data scientist, a consultant, or a professional in a large company or a startup responsible for any kind of transition – market or technology or change. Any professional engaged with AI, data, and how to apply it in an organization; any board member or senior executive who impacts people or the product culture or influences risks; is the right audience for the book.
What’s common to a pizza, a recruitment platform, a vehicle to rent, a room to stay in, a portal offering many products, and a piece of music? The companies behind these products have all pushed the boundaries on Data and Al to transform their businesses.
5-STAGE FRAMEWORK STAGE 1 - BUSINESS OUTCOMES - Real-life case studies of how AI is building one great company at a time.STAGE 2 - DATA STRATEGY - building the right data strategy to enable AI.STAGE 3 - CULTURE - Building the right engineering, product, and talent culture for Al & Data.STAGE 4 - BOARDROOM CONVERSATIONS - Board composition, the role of the board with Al & data.STAGE 5 - RISK - Do not ignore the legal and ethical risks of AI in your business.
It will help you make decisions across all levels and on a broad spectrum of issues ranging from data to culture to boardroom to risks. You may be a business leader, a data scientist, a consultant, or a professional in a large company or a startup responsible for any kind of transition – market or technology or change. Any professional engaged with AI, data, and how to apply it in an organization; any board member or senior executive who impacts people or the product culture or influences risks; is the right audience for the book.
What’s common to a pizza, a recruitment platform, a vehicle to rent, a room to stay in, a portal offering many products, and a piece of music? The companies behind these products have all pushed the boundaries on Data and Al to transform their businesses.
5-STAGE FRAMEWORK STAGE 1 - BUSINESS OUTCOMES - Real-life case studies of how AI is building one great company at a time.STAGE 2 - DATA STRATEGY - building the right data strategy to enable AI.STAGE 3 - CULTURE - Building the right engineering, product, and talent culture for Al & Data.STAGE 4 - BOARDROOM CONVERSATIONS - Board composition, the role of the board with Al & data.STAGE 5 - RISK - Do not ignore the legal and ethical risks of AI in your business.
287 pages, Kindle Edition
Published June 25, 2022
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October 13, 2022
The author has realistically described the attributes and challenges faced by organisations in building AI and data-driven sustainable business models through various business case analysis spread across the globe. Analysis has genuinely surfaced the diverse nature of data integration issues and also highlighted the scope of improvement in various aspects. However, the basis of analysis coming solely from technological aspects, the pinch of business and financial outlook would have laid out a balanced proposition for technology initiators. Further, the data compliance issues that are troubling the use of data have highlighted a debatable topic - ‘Data Compliance Vs AI and Data Capabilities’. It is really admirable to emphasize concepts that I personally resonate with, which is a quote, “ a company’s culture is the first product for any stakeholder and how roadmaps aim at building a culture of execution and undermines innovation & experimentation culture”.
The book rationally outlines the importance of having technocrats as directors and board composition problems that develop ambiguity related to harnessing AI and data potential for businesses. Further, it expresses cautiousness required with AI and Data related transformation as this is the area where the problem begins at the very top, breaking the conventional problem taboo (bottom to top). Lastly, when data compliance or regulatory frameworks are the primary crucial aspects in initiating risk control measures, then what should a company do in their own capacity to safeguard public interest? Through case studies analysis it is visible that majority of organisations have become opportunistic and ready to exploit the least regulated or developing markets under the umbrella of Innovation.
The book rationally outlines the importance of having technocrats as directors and board composition problems that develop ambiguity related to harnessing AI and data potential for businesses. Further, it expresses cautiousness required with AI and Data related transformation as this is the area where the problem begins at the very top, breaking the conventional problem taboo (bottom to top). Lastly, when data compliance or regulatory frameworks are the primary crucial aspects in initiating risk control measures, then what should a company do in their own capacity to safeguard public interest? Through case studies analysis it is visible that majority of organisations have become opportunistic and ready to exploit the least regulated or developing markets under the umbrella of Innovation.
Displaying 1 of 1 review