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Unlocking GenAI Value: The Power of "Small t" Transformations

  • Writer: Jerry Garcia
    Jerry Garcia
  • Aug 8
  • 2 min read

Generative AI has taken the business world by storm, but widespread, large-scale transformations haven't materialized as quickly as some predicted. Instead, many companies are finding success through "small t" transformations, leveraging the power of large language models (LLMs) for targeted improvements without overhauling entire business processes. This approach allows organizations to derive real value from GenAI while building a foundation for future, more extensive changes.

The "Small t" Transformation Approach

Despite the initial hype surrounding GenAI's capabilities, businesses are adopting a more pragmatic strategy. Rather than aiming for a complete redesign of major business functions, companies are integrating GenAI into existing workflows to achieve incremental yet significant improvements. This "small t" transformation focuses on using the right technologies for specific tasks to create new ways of doing business, rather than relying on a single technological breakthrough.

Understanding Digital Transformation

Digital transformation has evolved from a definition of "the use of technology to radically improve the performance or reach of an organization" to a more nuanced understanding. Today, it's seen as a comprehensive integration of digital technologies that fundamentally reimagines business models and processes, distinguishing it from mere incremental change. Successful digital transformations are often the result of numerous technology-enabled improvements assembled over time.

How Companies Are Leveraging GenAI Today

Research indicates that most companies are adopting a targeted approach to GenAI implementation. This involves interviewing senior managers across various functions like AI, data science, operations, and sales to understand early and broad adoption strategies. The focus is on identifying how organizations are deriving value from LLMs without necessitating complete replacements of existing business processes. This strategy allows for practical application and value generation while laying the groundwork for more ambitious transformations in the future.

Key Takeaways

  • Businesses are achieving value from GenAI through "small t" transformations, focusing on targeted improvements rather than wholesale redesigns.

  • This pragmatic approach allows for the integration of LLMs into existing processes, yielding tangible benefits.

  • The concept of digital transformation has broadened to encompass fundamental reimagining of business models and processes, often built through cumulative technological advancements.

  • Companies are actively researching and implementing GenAI by understanding how it can enhance specific functions and workflows.

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