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In the previous chapters, we explored best practices for designing AI programs strategically. We explored the importance of aligning an AI implementation with the organization-level AI strategy and further associating the AI strategy with the business strategy. One of the critical elements for designing an AI program with maximum chance of success is high-quality data that is easily accessible and trustworthy. In this chapter, we will explore how we can cater to this need for clean and reliable data.

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From Strategy to Execution: Building a Data Operating Model for AI-Ready Growth

  • 章节

  • 发表日期：

    2026年

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  • Anshuman Srivastava,
  • Abhinav Garg,
  • Anshuman Mishra

摘要

In the previous chapters, we explored best practices for designing AI programs strategically. We explored the importance of aligning an AI implementation with the organization-level AI strategy and further associating the AI strategy with the business strategy. One of the critical elements for designing an AI program with maximum chance of success is high-quality data that is easily accessible and trustworthy. In this chapter, we will explore how we can cater to this need for clean and reliable data.