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In the article "A Pragmatic Approach to Generative AI," Jayajyoti “JJ” Sengupta, Chief Sales Officer and Head of Growth Markets at Virtusa, discusses the challenges and opportunities of generative AI. He highlights how organizations can unlock its true potential by adopting an engineering-first mindset combined with domain-specific knowledge.

Sengupta notes that while generative AI has garnered immense attention for its ability to create content and code, its ROI remains uncertain. Many companies are jumping on the AI bandwagon without fully understanding its use cases, often forcing generative solutions onto problems better suited to analytical AI. This misalignment leads to superficial implementations that fail to deliver long-term value.

To harness generative AI effectively, leaders must separate use cases and invest in domain knowledge to guide AI models. Properly trained AI solutions can accelerate productivity, ease workloads, and yield quantifiable ROI when mapped to the value chain. Without this discipline, organizations risk costly failures with no tangible benefits.

Read more about how adopting a pragmatic, disciplined approach to generative AI can transform its promise into sustainable business value.