Understanding Enterprise AI. fundae University AI, #1
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- FormatePub
- ISBN8230195641
- EAN9798230195641
- Date de parution11/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
Understanding Enterprise AI offers a clear, grounded exploration of how advanced AI fits into day-to-day business operations. Rather than promoting an overhaul of established infrastructure, this book shows how teams can harness AI to enhance existing tools-from ERP and CRM systems to data warehouses and beyond. Each chapter focuses on practical techniques that blend enterprise stability with forward-looking innovation, helping readers see exactly where AI can lift performance, strengthen decision-making, and reduce inefficiencies.
Readers will discover: Examples of AI at work in manufacturing, healthcare, marketing, and logistics Guidance on weaving AI alongside legacy processes, minimizing disruptive changes Introduction of language models, digital twins (AI agents), and methods of orchestration Strategies for building trust in AI through grounded data, transparency, reliability, and ethics Ways to refine, deploy, and govern AI solutions so they truly serve an organization's needs Written with a focus on growth and stability, Understanding Enterprise AI shows how to introduce AI without sidelining what already works.
Whether you're a seasoned professional seeking new efficiencies, an IT leader searching for informed approaches, or a newcomer curious about the intersection of AI and business, this book delivers clear advice backed by concrete examples. From bridging departmental silos to scaling solutions securely behind firewalls, you'll learn how modern AI can slot naturally into enterprise workflows - unlocking performance gains, opening new possibilities, and empowering teams to navigate an increasingly data-driven future.
Readers will discover: Examples of AI at work in manufacturing, healthcare, marketing, and logistics Guidance on weaving AI alongside legacy processes, minimizing disruptive changes Introduction of language models, digital twins (AI agents), and methods of orchestration Strategies for building trust in AI through grounded data, transparency, reliability, and ethics Ways to refine, deploy, and govern AI solutions so they truly serve an organization's needs Written with a focus on growth and stability, Understanding Enterprise AI shows how to introduce AI without sidelining what already works.
Whether you're a seasoned professional seeking new efficiencies, an IT leader searching for informed approaches, or a newcomer curious about the intersection of AI and business, this book delivers clear advice backed by concrete examples. From bridging departmental silos to scaling solutions securely behind firewalls, you'll learn how modern AI can slot naturally into enterprise workflows - unlocking performance gains, opening new possibilities, and empowering teams to navigate an increasingly data-driven future.
Understanding Enterprise AI offers a clear, grounded exploration of how advanced AI fits into day-to-day business operations. Rather than promoting an overhaul of established infrastructure, this book shows how teams can harness AI to enhance existing tools-from ERP and CRM systems to data warehouses and beyond. Each chapter focuses on practical techniques that blend enterprise stability with forward-looking innovation, helping readers see exactly where AI can lift performance, strengthen decision-making, and reduce inefficiencies.
Readers will discover: Examples of AI at work in manufacturing, healthcare, marketing, and logistics Guidance on weaving AI alongside legacy processes, minimizing disruptive changes Introduction of language models, digital twins (AI agents), and methods of orchestration Strategies for building trust in AI through grounded data, transparency, reliability, and ethics Ways to refine, deploy, and govern AI solutions so they truly serve an organization's needs Written with a focus on growth and stability, Understanding Enterprise AI shows how to introduce AI without sidelining what already works.
Whether you're a seasoned professional seeking new efficiencies, an IT leader searching for informed approaches, or a newcomer curious about the intersection of AI and business, this book delivers clear advice backed by concrete examples. From bridging departmental silos to scaling solutions securely behind firewalls, you'll learn how modern AI can slot naturally into enterprise workflows - unlocking performance gains, opening new possibilities, and empowering teams to navigate an increasingly data-driven future.
Readers will discover: Examples of AI at work in manufacturing, healthcare, marketing, and logistics Guidance on weaving AI alongside legacy processes, minimizing disruptive changes Introduction of language models, digital twins (AI agents), and methods of orchestration Strategies for building trust in AI through grounded data, transparency, reliability, and ethics Ways to refine, deploy, and govern AI solutions so they truly serve an organization's needs Written with a focus on growth and stability, Understanding Enterprise AI shows how to introduce AI without sidelining what already works.
Whether you're a seasoned professional seeking new efficiencies, an IT leader searching for informed approaches, or a newcomer curious about the intersection of AI and business, this book delivers clear advice backed by concrete examples. From bridging departmental silos to scaling solutions securely behind firewalls, you'll learn how modern AI can slot naturally into enterprise workflows - unlocking performance gains, opening new possibilities, and empowering teams to navigate an increasingly data-driven future.