From Data To Profit

Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You’ll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need. You’ll learn to outline a comprehensive technical vision and purpose that respects departmental autonomy over their core competencies while guaranteeing that they all get the tools they need to make technology their partner. You’ll also discover why firms that have adopted a holistic strategy toward AI and data have enjoyed results far beyond those experienced by those that have taken a piecemeal approach. From Data to Profit demonstrates the proper role of the CEO during an intensive transformation: one of maintaining culture during the change. It offers advice for organizational change, including the 3-Phase Data Organizational Development Framework, the Core Rim 3 Main People Groups Framework, and the way to implement new roles for a Chief Digital Officer and Technical Strategist. Perfect for data professionals, data organizational leaders, and data product and process owners, From Data to Profit will also benefit executives, managers, and other business leaders seeking hands-on advice for digital transformation at their firms.

Introduction vii Chapter 1 Overview of the Frameworks 1 Chapter 2 There Is No Finish Line 15 Chapter 3 Why Is Transformation So Hard? 37 Chapter 4 Final vs. Evolutionary Decision Culture 59 Chapter 5 The Disruptor’s Mindset 71 Chapter 6 A Data- Driven Definition of Strategy 89 Chapter 7 The Monolith—Technical Strategy 103 Chapter 8 Who Survives Disruption? 125 Chapter 9 Data—The Business’s Hidden Giant 139 Chapter 10 The AI Maturity Model 155 Chapter 11 The Human-Machine Maturity Model 171 Chapter 12 A Vision for AI Opportunities 185 Chapter 13 Discovering AI Treasure 201 Chapter 14 Large Model Monetization Strategies—Quick Wins 215 Chapter 15 Large Model Monetization Strategies—The Bigger Picture 229 Chapter 16 Assessing the Business’s AI Maturity 251 Chapter 17 Building the Data and AI Strategy 273 Chapter 18 Building the Center of Excellence 287 Chapter 19 Data and AI Product Strategy 301 Index 325