The Five Elements of AI to Leverage Data and Dominate Your Industry
Alexander Thamm ()
Additional contact information
Alexander Thamm: Alexander Thamm GmbH
Chapter 18 in Creating Innovation Spaces, 2021, pp 235-258 from Springer
Abstract:
Abstract Using data to make better decisions has been a formula for success for almost two decades now. We went from business analytics to predictive analytics, Big Data and now artificial intelligence (AI). Industry experts predict that within this decade we will see the second wave of AI companies generating $13 trillion GDP growth (Ng, AI transformation playbook. How to lead your company into the AI era, 2018). This growth will be dominated by industry incumbents who understand how to innovate their business model and thus outgrow their industry rivals. Winners will build AI assets to defend against challengers while others will vanish from the market. In this article, you will learn the recipe to generate value from data and AI by combining five main ingredients. After reading you understand what AI really is and how to build an effective AI product portfolio, an engaging AI culture and organizational structure, professionally train and hire AI experts, built a hands-on data governance and a solid data and AI technology platform.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-57642-4_18
Ordering information: This item can be ordered from
http://www.springer.com/9783030576424
DOI: 10.1007/978-3-030-57642-4_18
Access Statistics for this chapter
More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().