Driving Business Transformation with Modern Data and AI Strategies

A Leader's Guide to Turning Data and AI into Business Value
1. Auflage 2026
ISBN: 979-8-8688-2624-5
Verlag: Apress

Buch, Englisch, 307 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 634 g

In today’s digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. 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 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 cases

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Yasir, Rahat

Shaikh, Kasam

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Microsoft Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Part I: The Data-Driven Business Landscape.- Chapter 1: Introduction: Why Data is Your Business Superpower.- Chapter 2: The Modern Data Stack in Microsoft: Explained Simply.- Chapter 3: Must Have Cloud Data Components.- Chapter 4: The Role of the Business Leader in Data Strategy.- Part II: The Advanced Analytics & AI Ecosystem.- Chapter 5: Democratising AI: Unlocking Opportunity and Maximising ROI.- Chapter 6: Analytics Maturity Model.- Chapter 7: Data Storytelling & Democratizing Analytics within an Organization.- Part III: AI in Action.- Chapter 8: Traditional Machine Learning (Narrow AI).- Chapter 9: Foundational Model / Generative AI.- Chapter 10: Responsible & Trustworthy AI in the world of AI Laws & Regulations.- Part IV: Strategy, Culture, Execution & Future Proof Next Steps.- Chapter 11: Data Culture & Literacy.- Chapter 12: The Data & AI Roadmap.- Chapter 13: Conclusion: Leading with Confidence.- Appendix / References of the book.

Über Autor(innen)

Rahat Yasir was named one of Canada’s 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 award. His work has also been honoured with the and the .

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.