Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value (eBook)

Eric Anderson, Florian Zettelmeyer (Autoren)

eBook Download: EPUB

2020
352 Seiten
McGraw-Hill Education (Verlag)
978-1-260-45915-9 (ISBN)

Infos

Lead your organization to become evidence-drivenData. It s 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 what s 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, you ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from best-guess decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management role from C-level/unit team managers to rising talent this powerful, hands-on guide meets today s growing need for real-world tools to lead and succeed with data.

Produkt-Details

• Erscheint lt. Verlag: 23.11.2020
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• ISBN-10: 1-260-45915-2 / 1260459152
• ISBN-13: 978-1-260-45915-9 / 9781260459159