Unlock Hyper-Personalization with AI-Driven Adaptive Apps | Laptop News

Since long before the pandemic, “digital-first” has been the direction of travel for ambitious organizations. But closing the gap with big-pocketed U.S. giants like Amazon and Netflix can seem like an impossible task. So how can businesses compete? The answer is to give customers what they want: hyper-personalized experiences delivered directly to their devices. Increasingly, that means adaptive applications capable of adjusting behavior and features in real-time, based on user preferences and other factors.

Yet this kind of dynamic, ultra-responsive, user-centric experience comes at a price. It can only be achieved by first putting in place the right data architecture.

The Promise of Adaptive Applications

As Deloitte explains, businesses aren’t just expected to meet the needs of customers today — increasingly they must “anticipate and exceed them.” This is manifested in a new race for hyper-personalization: services that use real-time data, machine learning and AI analytics to dynamically deliver functionality catered to the user’s specific needs and current context. The business case for doing so is pretty solid: Companies that excel at personalization can generate 40% more revenue than the rest, according to McKinsey.

Sitting at the gateway to the digital world, adaptive applications are absolutely critical to this proposition. They will adjust and readjust based on fast-changing user preferences, environmental conditions, data inputs or changing circumstances. They are context-aware, customizable, situational and adaptable. And they are also intelligent — incorporating predictive machine learning, AI, real-time calculations and generative AI conversations to adapt.

They promise to redefine how brands interact with their customers, even as…

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