In this article, Raghavendra Dikshit argues that faster code isn’t the answer to enterprise-scale transformation. The true barrier lies in fragmented and drifting requirements, especially in data engineering, where gaps make pipelines brittle, compliance risky, and migrations costly. He shows why requirements must become the foundation of GenAI adoption and how enterprises can unlock speed, resilience, and portability when they do.

Download the article to learn:

• Why copilots deliver incremental efficiency but fail to solve system-level challenges

• How scattered requirements create compliance risks, brittle platforms, and wasted effort

• How Tavant’s AIgnite Data Platform Builder carries requirements through to governed, portable deployments across AWS, Databricks, or Snowflake

Don’t just code faster. Build stronger systems by making requirements your foundation.

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