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Themobile apprevolution transformed how people interact with technology, placing a wide range of services at their fingertips.
However, as digital experiences evolve, a new shift is on the horizonAgenticAI.
SVP of Marketing and Developer Relations at StarTree.
What Is Agentic AI?
These agents are more than justchatbotsor layering a voice interface veneer on top of an existing app.
They operate across a wide array of domains and applications.
Your company may just be one input in solving the agents goal.
They can handle complex, multi-step tasks, anticipate user needs, and personalize interactions in real time.
The agent handles everything by interacting with the necessary services anddatabases.
This shift will fundamentally change user expectations.
People will no longer tolerate clunky apps that demand their time and attention to navigate.
Instead, theyll expect agents to understand their intent and act autonomously, delivering real-time results.
Companies that fail to adapt risk becoming invisible in an agent-driven world.
Not all data is the samesome, like company expense policies and calendar events, are static lookups.
Others, like restaurant operations and delivery logistics, require real-time analytics to reflect constantly changing conditions.
When an agent needs on-demand insightssuch as estimating delivery timeit must query multiple live data streams simultaneously.
Data warehouses and data lakes are too slow and static for the fast, automated decision-making agents need.
The agent must adapt instantly to shifting conditions to provide the best option available at that moment.
This demands a fundamental shift in datainfrastructureone that prioritizes speed, concurrency, and dynamic query handling.
For businesses, this shift requires a new approach to delivering real-time insights to agents at scale.
Those that dont risk becoming invisible in a world where agents are the new apps.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
