In today’s digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.
Organisations that embrace data-driven decision-making consistently outperform their peers―innovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.
The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.
What You Will Learn:
Who This Book Is For:
Digital transformation and data strategy leaders. It is also targeted to Board level executives and Non-technical managers in tech-driven industries.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Rahat Yasir was named one of Canada’s Top 30 Software Developers Under 30 in 2018 and is a twelve-time Microsoft Most Valuable Professional in Artificial Intelligence. He holds a bachelor’s degree in computer science and engineering, a master’s degree in computer science with a specialisation in Artificial Intelligence, and has completed multiple executive education programmes focused on enterprise data, AI policy, strategy, and leadership.
He brings extensive experience across artificial intelligence, cloud, data analytics, cross-platform system development, and large-scale enterprise systems. Rahat authored the first eBooks on Windows Phone 8.1 and Universal Windows Platform development and has held a range of senior technical and research roles, including AI Researcher at the University of Saskatchewan’s P2IRC, Lead AI Developer at Immersive Design Studios, and AI Engineer at Intact Financial Corporation. He has also led AI initiatives at OSEDEA, CAE, and ISAAC Instruments.
Currently, Rahat serves as Head of Data Insights & Advanced Analytics at IATA, where he leads global data, analytics, and AI initiatives supporting aviation safety and security use cases. In 2025, he was recognised with the AI100 Early Adopters in North America award. His work has also been honoured with the DataIQ Data & AI for Good Hero Organisation Award and the Grand Prix Award at DataIQ North America 2025.
Kasam Shaikh is a four-time recipient of the prestigious Microsoft Most Valuable Professional (MVP) Award in AI―and the first and only Indian professional under the age of 40 to earn this honor consecutively for three years. A recognized global AI speaker, published author, and tech influencer, Kasam is widely known for his contributions to the AI ecosystem through his YouTube channel, mentoring initiatives, and thought leadership. He currently serves as a Cloud Solutions and Generative AI Architect at the Associate Director level, driving digital transformation and AI adoption across business units. As the founder of Dear Azure – Az-INDIA, the largest Azure AI community in the region, he plays a key role in nurturing AI talent and fostering innovation. Additionally, he is acknowledged as a Career Expert in AI by RediffGuru and leads the Gen AI Expert Community at the practice level within his organization.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur DB-9798868826245
Quantité disponible : 3 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today s digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peers innovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:How to unlock business value through efficiency, insight, and innovationStrategies for democratising data, analytics, and AI across your organisationCore concepts in data analytics and AI, and their business use casesHow to design a modern, cloud-native data platformHow to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and 307 pp. Englisch. N° de réf. du vendeur 9798868826245
Quantité disponible : 2 disponible(s)
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today s digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peers innovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:How to unlock business value through efficiency, insight, and innovationStrategies for democratising data, analytics, and AI across your organisationCore concepts in data analytics and AI, and their business use casesHow to design a modern, cloud-native data platformHow to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and 336 pp. Englisch. N° de réf. du vendeur 9798868826245
Quantité disponible : 2 disponible(s)
Vendeur : Wegmann1855, Zwiesel, Allemagne
Taschenbuch. Etat : Neu. Neuware -In today's digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peersinnovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:- How to unlock business value through efficiency, insight, and innovation- Strategies for democratising data, analytics, and AI across your organisation- Core concepts in data analytics and AI, and their business use cases- How to design a modern, cloud-native data platform- How to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and Non-technical managers in tech-driven industries. N° de réf. du vendeur 9798868826245
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N° de réf. du vendeur 2888654256
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peersinnovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:- How to unlock business value through efficiency, insight, and innovation- Strategies for democratising data, analytics, and AI across your organisation- Core concepts in data analytics and AI, and their business use cases- How to design a modern, cloud-native data platform- How to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and Non-technical managers in tech-driven industries. 336 pp. Englisch. N° de réf. du vendeur 9798868826245
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peers innovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:How to unlock business value through efficiency, insight, and innovationStrategies for democratising data, analytics, and AI across your organisationCore concepts in data analytics and AI, and their business use casesHow to design a modern, cloud-native data platformHow to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and. N° de réf. du vendeur 9798868826245
Quantité disponible : 1 disponible(s)
Vendeur : Books-by-Floh, Paderborn, Allemagne
Taschenbuch. Etat : Neu. Neuware -In today's digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.Organisations that embrace data-driven decision-making consistently outperform their peersinnovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.What You Will Learn:- How to unlock business value through efficiency, insight, and innovation- Strategies for democratising data, analytics, and AI across your organisation- Core concepts in data analytics and AI, and their business use cases- How to design a modern, cloud-native data platform- How to identify and implement AI and GenAI use casesWho This Book Is For:Digital transformation and data strategy leaders. It is also targeted to Board level executives and Non-technical managers in tech-driven industries. 336 pp. Englisch. N° de réf. du vendeur 9798868826245
Quantité disponible : 2 disponible(s)