Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?
Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.
At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.
Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:
Combining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
David Castro-Gavino has nearly three decades of experience helping organisations turn data, analytics and artificial intelligence into real business value. He currently serves as Executive Director at AstraZeneca, where he leads data deployment for Axial, the company's enterprise-wide ERP transformation. Previously he led the global data transformation at HelloFresh during a period of rapid international growth, establishing the foundations for scalable analytics and AI across the organisation. A regular speaker at international conferences, he has been recognised in the DataIQ 100. He is based in London, UK.
Boyan Angelov is Principal Data Strategist at Exxeta, an innovative technology and consultancy company. He has previously published Elements of Data Strategy and Python and R for the Modern Data Scientist (with Rick J. Scavetta). Throughout his career, he has advised organisations of all sizes on data and AI-powered transformation in roles ranging from data strategist to CTO and Principal. He is based in Berlin, Germany.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Condizione: new. Codice articolo VPX5NNAFVR
Quantità: Più di 20 disponibili
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Codice articolo LU-9781783308514
Quantità: Più di 20 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 248 pages. 6.14x0.43x9.21 inches. In Stock. Codice articolo __1783308516
Quantità: 2 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 408425294
Quantità: 3 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Through a story, a model, and a data manifesto, this book challenges the reader to rethink how enabling data can add real value to an organisation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781783308514
Quantità: 1 disponibili
Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. Codice articolo 26405777553
Quantità: 3 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18405777563
Quantità: 3 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - Foreword by Thomas C. RedmanDespite decades of investment in data platforms, analytics tools and artificial intelligence, many organizations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms, and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organizations must do differently to unlock the true potential of data and AI.At the center of the book is the Enabling Data Model, a new mental model for designing organizations where data, analytics, and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organizational foundations required for data work to succeed, aligning strategy, governance, technology, and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed, and sustained in complex organizations. Readers will gain- a clear explanation of why many data and AI initiatives fail to deliver impact;- a new mental model for aligning data capabilities with business strategy and innovation; and- practical tools including diagnostic rubrics, data personas, use case templates, and the Platform Fit Canvas to translate ideas into action.Combining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders, and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics, and AI to generate lasting business value. Codice articolo 9781783308514
Quantità: 2 disponibili
Da: Speedyhen, Hertfordshire, Regno Unito
Condizione: NEW. Codice articolo NW9781783308514
Quantità: 10 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Through a story, a model, and a data manifesto, this book challenges the reader to rethink how enabling data can add real value to an organisation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781783308514
Quantità: 1 disponibili