A Blueprint for Mastering AI at Scale
- A Thought Leader’s POV

Despite 65% of businesses adopting generative AI, nearly 90% struggle to scale it effectively and unlock its full potential.

This article explores the common reasons AI projects fail, including misidentifying problems, inadequate data, and lack of human integration. It also emphasizes the importance of a platform-based approach for integrating AI into existing workflows to achieve long-term success. 

In “A Blueprint for Mastering AI at Scale,” you’ll learn:  

  • The key reasons AI projects fail and how to avoid them, such as misidentifying use cases and neglecting unstructured data
  • The importance of securing human buy-in, designing scalable solutions, and continuously optimizing AI post-deployment
  • A structured, four-stage approach for successfully deploying AI, including problem identification, solution design, implementation, and ongoing management

Read the article to explore strategies for scaling AI and overcoming common obstacles in deployment.

Download the article

Download the article

    About EdgeVerve

    At EdgeVerve, we enable businesses to thrive in a connected world through AI-driven digital platforms that enhance efficiency, unlock growth, and drive innovation. With automation, data intelligence, and seamless enterprise integration at the core, our solutions help organizations reimagine processes, optimize operations, and build a smarter, more connected future—securely and at scale.

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