Gen AI Dilemma: To Be Embedded in Enterprise Applications or Data Warehouses?

Thoughts by

Raja Sekhar

EVP – Head of Enterprise Cloud Applications, Jade Global

Dear there,

Your organization might be on a quest to harness the power of artificial intelligence (AI), and one intriguing facet of your journey is generative AI or general AI. Gen AI focuses on generating content, solutions, or insights based on existing data and patterns. As you explore the vast possibilities of Gen AI, you might find yourselves at a crossroads, facing a crucial dilemma: should you embed Gen AI within your enterprise applications or leverage data warehouses? This decision, fraught with considerations of strategy, speed, and security, is one that requires careful navigation.

Gen AI Landscape: A World of Choices

The Gen AI landscape resembles an expansive realm of possibilities, offering organizations a plethora of avenues to explore. Among these choices, two prominent strategies emerge: embedding Gen AI within enterprise applications or harnessing its power through data warehouses. Each path comes with its unique set of opportunities and challenges.

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