AI Strategy and Digital Transformation: From Data Analytics to Generative and Agentic AI and Human–Machine Collaboration - Tapa blanda

Sinopsis

AI Strategy and Digital Transformation
From Data Analytics to Generative and Agentic AI and Human–Machine Collaboration

Many companies have launched AI pilots and found two years later that nothing has changed in their business. This textbook explains why, and shows how an organization moves from isolated experiments to systematic, scalable, and responsible use of AI.

No coding required. Just clear frameworks you can apply directly to your own organization:

• Strategy: Distinguish digitalization from true transformation, define your value proposition, and prioritize use cases
• Data and generative AI: Unlock unstructured data, apply the Data Analytics Cube, and understand when to use prompting, RAG, or fine-tuning
• The AI factory: Get from pilot to production: platform, operating model, governance, and metrics
• Agentic AI: Decide where systems should act on their own, choose the right autonomy level, and deploy safely
• People and AI: Roles, impact on jobs, trust calibration, and clear accountability

Includes 23 original diagrams, five in-depth case studies from manufacturing, retail, pharma, insurance, and utilities, exercises for every unit, ten workshop templates, and a glossary. Regulatory guidance is oriented toward the US framework: FTC enforcement, sector rules, state laws such as CCPA and the Colorado AI Act, and the NIST AI Risk Management Framework with the EU's GDPR and AI Act and Switzerland's FADP placed alongside for organizations operating globally.

For executives, business leaders, project managers, and students who want to understand AI not as a technology but as a strategic capability.

"Sinopsis" puede pertenecer a otra edición de este libro.