Lead your organization to become evidence-drivenData. Its the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In
Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.
The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But whats often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.
Inside, youll find the essential tools to help you:
- Develop a strong data science intuition quotient
- Lead and scale AI and analytics throughout your organization
- Move from best-guess decision making to evidence-based decisions
- Craft strategies and tactics to create real impact
Written for anyone in a leadership or management rolefrom C-level/unit team managers to rising talentthis powerful, hands-on guide meets todays growing need for real-world tools to lead and succeed with data.
SECTION 1
Introduction
CHAPTER 1 AI and Analytics Are a Leadership Problem
CHAPTER 2 A Framework for AI and Analytics Success
SECTION 2
Consuming AI and Analytics
CHAPTER 3 Exploratory Analytics: What Is Going on with My Data?
CHAPTER 4 Distinguishils