In enterprise AI, context is everything. In the latest episode of Stay Cognizant, Pamela Axtell sits down with Shanker Udyaver, VP & Global Head of Technology Consulting at Cognizant, to explore why context engineering is emerging as the true differentiator for AI adoption. Learn how embedding organizational knowledge into AI systems to improve reliability and deliver measurable business value. Listen now⬇️ Spotify: https://cgnz.at/6042trtpK Apple: https://cgnz.at/6043trtpz
Context Becomes the Competitive Edge This episode highlights a critical shift in enterprise AI. As Pamela Axtell and Shanker Udyaver emphasize, the future belongs to systems that grasp not just data, but the deeper organizational context that gives decisions meaning. Context engineering transforms AI from a generic tool into a strategic asset that understands intent, elevates reliability, and delivers measurable value. Companies that embed their institutional knowledge into AI will outpace those still chasing models instead of mastery.
Powerful insights on how context engineering truly strengthens enterprise AI impact.
Great discussion highlighting why contextual intelligence is essential for AI success.
Context is the real engine of enterprise AI. When companies embed their internal knowledge into AI systems, reliability skyrockets. At Sahaba Club, we help organizations build context-aware AI and automation on Microsoft technologies to unlock real, measurable business value. #AI #EnterpriseTransformation
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2dContext isn’t just “helpful” in enterprise AI, it decides whether a system is trustworthy or not. Most failures come from missing situational truth, not missing model capacity. Real-time, grounded context is quickly becoming the new infrastructure layer for AI.