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AI agents are getting smarter. But can they actually get work done?

The AI race is moving beyond chatbots towards agents that can access data, use software and complete tasks. But smarter models alone may not be enough. AI agents need reliable integrations with CRMs, databases, email platforms and other business systems to turn reasoning into action.

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economictimes.indiatimes.com

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economictimes.indiatimes.comStai leggendo1 g fa

AI agents are getting smarter. But can they actually get work done?

AI agents fail without data integration. They must access CRM, databases, and enterprise systems—turning integration from backend work into core product capability. Tech leaders investing in agent infrastructure and API connectors now gain competitive advantage; reliability and control define market winners.

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dev.to4 g fa

Agentic AI and big data: what your platform needs before agents are useful

Agent AI success hinges on data infrastructure quality (semantic layer, metadata, governance), not model choice — enforce gold tables, curated metadata and identity-based permissions before pilots. For tech leaders, data governance is the real blocker — ungoverned agents scale confident hallucinations and security escalation across your organization.

Timeline cronologica

lunedì 10 agosto 2026·dev.to
Agentic AI and big data: what your platform needs before agents are useful
Agents that act on enterprise data need more than a good model — governed tables, narrow tools, real permissions and a cost ceiling. What has to be true first.
mercoledì 12 agosto 2026·economictimes.indiatimes.com
AI agents are getting smarter. But can they actually get work done?
The AI race is moving beyond chatbots towards agents that can access data, use software and complete tasks. But smarter models alone may not be enough. AI agents need reliable…