The AI Value Playbook : How to Make AI Work in the Real World

The AI Value Playbook How to Make AI Work in the Real World

Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage Key Features Understand machine learning and generative AI terminology, concepts, and the AI technology stack....

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Detalles Bibliográficos
Otros Autores: Weaver-Lambert, Lisa, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing Ltd [2024]
Edición:First edition
Materias:
Business > Data processing.
Machine learning.
Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009845437706719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Endorsement
  • Copyright and Credits
  • Chapter 1: Introduction
  • Chapter 2: Overview of AI Concepts and Technology Stack
  • Chapter 3: Sam Liang
  • CEO of Otter.ai
  • Chapter 4: Amr Awadallah
  • Founder and CEO at Vectara
  • Chapter 5: Philipp Heltewig
  • Co-Founder and CEO at Cognigy
  • Chapter 6: Miao Song
  • Chief Information Officer at GLP
  • Chapter 7: Ruben Ortega
  • General Partner at Enjoy the Work
  • Chapter 8: Joshua Rubin
  • Principal AI Scientist at Fiddler AI
  • Chapter 9: Nadine Thomson
  • Global Chief Technology Officer at GroupM (WPP)
  • Chapter 10: Sarvarth Misra
  • Co-Founder and CEO of ContractPodAi
  • Chapter 11: Edward Fine
  • AI and Data Science Consultant, Technologist, and Instructor
  • Chapter 12: Sanjeevan Bala
  • Group Chief Data and AI Officer at ITV
  • Chapter 13: Nathalie Gaveau
  • AI Tech Entrepreneur and Board Member
  • Chapter 14: Phil Harvey
  • Applied AI Architect
  • Chapter 15: Elizabeth Ajayi
  • Director, Intelligent Industry at Capgemini Invent
  • Chapter 16: Louis DiCesari
  • Head of Data, Analytics and AI at Levi Strauss &amp
  • Co.
  • Chapter 17: Vickey Rodrigues
  • CTO/CDO in Insuretech, Payments, and Healthtech
  • Chapter 18: Sean McDonald
  • Former Global Chief Innovation Officer at McCann Worldgroup
  • Chapter 19: Julie Gray
  • Head of Data and Internal Systems at Agilio
  • Chapter 20: Peter Jackson
  • Chief Data and Technology Officer at Outra
  • Chapter 21: Mark Beckwith
  • Director of Data Governance and Architecture at the Financial Times
  • Chapter 22: Kshira Saagar
  • Data Science at Wolt and Doordash
  • Chapter 23: Joe Romata
  • Global Head of Customer Experience at a multinational energy company
  • Chapter 24: Tomasz Ullman
  • Former Global Head of Data Science and Strategy at Ford Pro
  • Chapter 25: Oz Krakowski
  • Chief Business Development Officer at Deepdub.
  • Chapter 26: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians
  • Chapter 27: AI Personalization Increases Engagement in Nascent Tech Communities
  • Chapter 28: AI-Powered Virtual Agent Augments Service Efficiency
  • Chapter 29: Generative AI Creates a Paradigm Shift in Innovation Processes
  • Chapter 30: Unlocking Profit Potential - Leveraging Enterprise Data for Customer Profitability
  • Chapter 31: Minimizing Customer Churn with AI
  • Chapter 32: Enhancing Marketing Strategies Through the Power of LLMs
  • Chapter 33: Multimodal LLMs Redefine Software Development and Customer Innovation
  • Chapter 34: Where We've Got To and What's Next.

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