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From Hype to Practical Enterprise AI


We’re living through a seismic shift in enterprise technology.

The rise of generative AI, powered by large language models (LLMs) trained on 10–15 zettabytes of public data, has captured global attention. But here’s the real game-changer: behind enterprise firewalls lies a treasure trove of proprietary data, 100–150 zettabytes strong. When this data meets AI, the possibilities are transformative.

AI isn’t a distant future. It’s here. And it’s not waiting for us to catch up.

The misconception that AI will arrive as a single, all-knowing super-agent is misleading. The reality is far more nuanced and promising. The next generation of enterprise AI will be built on domain-specific agents. Think — RCA agent, FalsePositive Agent, TicketAgent, TranslationAgent, ReleaseNotesAgent, ContractReview Agent, and more.

These agents won’t just mimic human intelligence. Instead, every human will have an army of agents, and those agents will need an orchestrator ...


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