Morrow | Data and AI Skills | Buch | 978-1-3986-2415-3 | www.sack.de

Buch, Englisch, 240 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 529 g

Morrow

Data and AI Skills

Gain the Confidence You Need to Succeed
1. Auflage 2026
ISBN: 978-1-3986-2415-3
Verlag: Kogan Page

Gain the Confidence You Need to Succeed

Buch, Englisch, 240 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 529 g

ISBN: 978-1-3986-2415-3
Verlag: Kogan Page


Build the data and AI skills needed to succeed in a rapidly evolving digital economy. Data and AI Skills is a practical guide for anyone who wants to understand, apply, and operationalize data and AI in real business contexts. As organizations accelerate adoption, the ability to interpret data, evaluate AI use cases, and apply human judgment is now a core professional capability, not a specialist skill. Written by international bestselling author Jordan Morrow, a global thought leader in data and AI literacy, this book provides a structured approach to developing your skills. It bridges the gap between theory and application, helping you move from awareness to confident execution in your day-to-day role. You'll learn how to: - Build practical frameworks for working with data and AI - Define and prioritize high-impact AI use cases - Apply critical thinking to data and AI - Translate insights into clear business actions - Combine human judgment with AI capabilities effectively Cutting through hype and complexity, this book equips you to build lasting capability, improve decision quality, and stay relevant as data and AI reshape the future of work. Themes include: data literacy, AI skills, business analytics, digital transformation, data-driven decision making

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Weitere Infos & Material


  • Section - ONE: Data and AI;
    • Chapter - 01: The formula for success in the age of data and AI;
    • Chapter - 02: What does data and AI confidence look like?;
    • Chapter - 03: Data literacy – your journey toward success;
    • Chapter - 04: AI and AI literacy;
    • Chapter - 05: How to build a plan to succeed with data and AI;
    • Chapter - 06: The power of data and AI use cases;
  • Section - TWO: The human factor;
    • Chapter - 07: Why human and emotional intelligence still matter in the age of data and AI;
    • Chapter - 08: Applying your human and emotional intelligence to data and AI decisions;
    • Chapter - 09: Talking the language of data and AI;
    • Chapter - 10: Build better value with data and AI;
    • Chapter - 11: Becoming a data and AI leader in your organization – the power of change management;
    • Chapter - 12: Your mindset – bringing it all together;


Morrow, Jordan
<p><b>Jordan Morrow</b> is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs and driving thought leadership. He is the founder and CEO of Bodhi Data and Senior Vice President of Data and AI Transformation for AgileOne, helping to utilize data and AI
in the total talent management space. Morrow is a global trailblazer in the world of data literacy and enjoys his time traveling the world speaking and/or helping companies. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is based near Salt Lake City, Utah and is the author of four books: <i style="">Be Data Literate</i>, <i style="">Be Data Driven</i>, <i style="">Be Data Analytical</i>, and <i style="">Business 101 for the Data Professional </i>all published by Kogan Page.</p>

Jordan Morrow is known as the "Godfather of Data Literacy", having built one of the world's first data literacy programs. He is the founder and CEO of Bodhi Data and the Senior Vice President of Data and AI Transformation for AgileOne. He is the author of four other books: Be Data Literate, Be Data Driven, Be Data Analytical and Business 101 for the Data Professional all published by Kogan Page. He is based near Salt Lake City, UT.



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