Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success

A comprehensive and detailed guide for business and technology leaders ready to implement AI throughout their organizations

A soup to nuts strategy guide for business leaders interested in implementing artificial intelligence in their organizations in a way that drives real-world results, Data Makes the World Go ‘Round: The Data, Tech, and Trust Behind AI Success combines specific, actionable advice for technical and business leaders on issues like data management, data architectures, AI tools, AI operationalization, and AI governance. Veteran technology and business analyst, researcher, and leader, Fern Halper, walks you through the organizational and technical factors that determine success in data, analytics, and AI.

This book brings together the insights, case studies, and leader interviews that set out exactly what you need to succeed as you incorporate artificial intelligence throughout your organization. It covers the latest trends in data and AI (and how they’re relevant to your top- and bottom-lines), data products, data fabric, and AI responsibility, risk mitigation, and ethics.

Inside the book:

• Specific steps to building the robust internal data foundation you’ll need for artificial intelligence implementation
• How to democratize business intelligence so data analysts are free to conduct deeper analyses and perform more sophisticated analytical roles
• Informed advice for building AI models, applications, and innovations, and explanations of best practices for model building aligned with your organization’s strategies

Perfect for business and technology leaders working towards a comprehensive data and AI strategy, Data Makes the World Go ‘Round: The Data, Tech, and Trust Behind AI Success is a deeply informed, up-to-date, and practical exploration of the foundations of every successful AI transformation – and how you can build them in your own organization.

FERN HALPER, PhD, has over two decades' experience helping organizations navigate rapid innovation. As a practitioner, industry analyst, researcher, and thought leader, she has led initiatives in e-commerce, big data, cloud computing, and artificial intelligence. She is currently a leader at TDWI, a company dedicated to research and education in data management, BI, AI, and governance.