| Description |
1 online resource (355 p.) |
| Contents |
Cover -- Title Page -- Copyright Page -- Contents -- Introduction -- A Novel Asset Class with a Greenfield of Opportunities -- The Road from Laggard to Industry Leadership -- Technical Strategy as a New Top-Level Construct -- Playbook for the Enterprise -- Systems, Models, and Frameworks -- Introducing Data to the Enterprise -- Chapter 1 Overview of the Frameworks -- Continuous Transformation -- Three Sources of Business Debt -- Evolutionary Decision Culture -- The Disruptor's Mindset -- The Innovation Mix -- Meet the Business Where It Is -- The Technology Model -- The Core-Rim Model |
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Transparency and Opacity -- The Maturity Models -- The Four Platforms -- Top-Down and Bottom-Up Opportunity Discovery -- Large Model Monetization -- The Business Assessment Framework -- The Data and AI Strategy Document -- Data Organizational Development Framework -- More to Come -- Chapter 2 There Is No Finish Line -- Where Do We Begin? With Reality -- Defining a Transformation Vision and Strategy -- Paying Off the Business's Digital Debt -- Managing the Value Creation vs. the Technology -- A Master Class in Continuous Transformation Strategy -- Evaluating Trade-Offs |
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What Happens When the Business Loses Faith in Data and AI? -- What's Next? -- Chapter 3 Why Is Transformation So Hard? -- Cautionary Tales -- Data-Driven Transparency -- The Nature of Technology and FUD -- The Business Has Been Lied to Before -- Is It Sci-Fi or Reality? -- The Coming Storms -- Time Travel -- Time Travel in the Real World -- Data-Driven, Adaptive Strategy -- What's Next? -- Chapter 4 Final vs. Evolutionary Decision Culture -- Implementing Change and Taking Back Control -- Paying Off Cultural and Strategic Debt -- Playing Better Poker Means Folding Bad Hands |
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Fixing the Culture to Reward Data-Driven Decision-Making Behaviors -- A Changing Incentivization Structure -- What's Next? -- Chapter 5 The Disruptor's Mindset -- The Innovation Mix -- Exploration vs. Exploitation -- What Happens with Too Much or Too Little Innovation? -- Innovate Before It's Too Late -- EVs and Innovation Cycles -- Putting the Structure in Place for Innovation -- Building the Culture for Innovation -- An Innovator's Way of Thinking -- Managing Constant Change and Disruption -- Preventing Data-Driven and Innovation from Spiraling Out of Control -- What's Next? |
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Chapter 6 A Data-Driven Definition of Strategy -- How Quickly the Innovators Became Laggards -- Using Strategy to Balance the Scales -- Redefining Strategy -- Resistance and Autonomy -- The Cost of Resisting Change -- What's Next? -- Chapter 7 The Monolith-Technical Strategy -- The Business Model -- A Few Examples of Business Models -- The Need for Technical Strategists -- The Operating Model -- Scale to Infinity and Super Platforms -- The Implications of an Automated Operating Model -- The Technology Model -- The Best Tool for the Job -- Making the Connection to Value from the Start |
| Summary |
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 |
| Notes |
Description based upon print version of record |
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What's Next? |
| Subject |
Artificial intelligence -- Industrial applications
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Artificial intelligence -- Industrial applications
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| Form |
Electronic book
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| ISBN |
9781394196227 |
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1394196229 |
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