From Data to Profit How Businesses Leverage Data to Grow Their Top and Bottom Lines.

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 m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Vashishta, Vin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2023.
Temas:
Artificial intelligence > Industrial applications.
Intelligence artificielle > Applications industrielles.
Artificial intelligence > Industrial applications
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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?
  • 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

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