Artificial Intelligence In Business: Strategies That Work

LinkLyudmila Borovikova, Inna Botchkina, Elena Putalova, Lev Selector, Vitalii Stinskii, Yana YakubsfeldResource

The e-book 'Artificial Intelligence In Business: Strategies That Work' is a practical guide for business leaders and decision-makers. Across 97 pages, six authors outline operational strategies, frameworks, and real-world examples from 2025 to deploy AI effectively across organisations.

Key points

  1. Real-world business applications across marketing, finance, HR, and operations from 2025.
  2. The Minimum Viable AI Project (MVAIP) methodology to prove business value quickly.
  3. Criteria for choosing between off-the-shelf software, cloud services, and custom in-house solutions.
  4. Mitigation of frequent pitfalls including poorly defined goals, bad data, and employee resistance.
  5. Frameworks for moving from pilot projects to production, managing lifecycle adoption, and handling governance.
  6. Overview of emerging trends such as AI agents and multimodal models.

Why it matters

Organisations frequently struggle to move AI initiatives beyond the experimental stage. The book provides structured frameworks to deploy functional projects while managing risks, compliance, and organisational change.

Analysis

Targeted at managers and technical leads, this 97-page guide avoids theoretical hype and focuses on pragmatic execution. It functions as a concise roadmap for scoping, launching, and governing corporate AI initiatives.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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