Artificial Intelligence for Business - Harness Ai for Value, Growth and Innovation

Explore the applications, opportunities and considerations of AI for business and unlock value and growth for your organization.

Sommario

Chapter - 01: Understanding artificial intelligence; Chapter - 02: Artificial intelligence in business; Chapter - 03: Converging AI with other emerging technologies; Chapter - 04: Balancing AI development with ethics; Chapter - 05: AI and the future of work; Chapter - 06: Building an AI-driven business; Chapter - 07: Overcoming barriers to adopting AI for business; Chapter - 08: Human-centred AI implementation; Chapter - 09: The future of AI;

Info autore

Kamales Lardi is a bold and strategic thinker in digital and business transformation, with over 25 years of cross-industry expertise. She excels in combining cutting-edge digital and technology solutions with a neuroscience-backed approach to drive measurable business results. A champion of the human side of technology, Kamales empowers organizations to achieve impactful, people-centric transformation. Listed among the "Top 10 Global Thought Leaders in Digital Transformation" (Thinkers360), she was named a 'Voice of a New Era of Leaders' by the Female Factor Leadership:Redefined movement in August 2024. Recognized in the International 40 Over 40 - The World's Most Inspiring Women by Capgemini Invent and Female One Zero (2022), Kamales is also the author of the best-selling book The Human Side Of Digital Business Transformation, an essential guide for leaders navigating next-generation organizational transformation. She is based in Zurich, Switzerland.

Dettagli sul prodotto

• Autori: Kamales Lardi, Lardi Kamales
• Editore: Kogan Page
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.11.2024
• EAN: 9781398618022
• ISBN: 978-1-398-61802-2
• Pagine: 280
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; BUSINESS & ECONOMICS / Strategic Planning, BUSINESS & ECONOMICS / Information Management, Business innovation, business strategy, COMPUTERS / Artificial Intelligence / General, Data analysis: general, Data science and analysis: general, Data capture and analysis, Data Capture & Analysis