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Home / Blog
  • 29 October 2025
  • 0 Views

Counting the Aisles: How Walmart Turned Shelf-Scanning Robots into a Data Engine

When you walk into a supermarket, you rarely think about the choreography behind every stocked shelf. Yet keeping thousands of SKUs available and priced correctly is one of the quiet engineering challenges of modern retail. In the last decade Walmart introduced autonomous shelf-scanning robots that patrol aisles, gather

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  • 28 October 2025
  • appex_media
  • 21 Views

How Intelligence Reshaped a Pipeline: Case Study: IBM AIOps for DevOps Efficiency

This article walks through a real-world journey where artificial intelligence met engineering practice and changed how a DevOps organization responded to problems, deployed code, and learned from incidents. I will unpack motivations, architecture choices, measurable outcomes and human factors that mattered most, showing not only what technology does

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  • 28 October 2025
  • appex_media
  • 17 Views

Retail Reinvented: Inside H&M’s Virtual Shopping Assistant

The shift from browsing racks to tapping screens has been relentless, and retailers who moved early to mix human sensibility with machine speed gained a clear edge. This article dissects a modern retail innovation through the lens of a well-known brand — an exploration of design choices, technical

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  • 28 October 2025
  • appex_media
  • 15 Views

Beyond Accuracy: How to Measure the Real Value of AI Agents

AI agents are leaving research labs and taking up roles across customer service, sales, operations and product teams. Companies celebrate high accuracy numbers, but business leaders increasingly ask a different question: how much value is an agent actually delivering? This article walks through practical ways to answer that

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  • 28 October 2025
  • appex_media
  • 14 Views

When Algorithms Leave the Lab: Navigating the Challenges of Deploying AI Agents

Bringing an AI agent out of a research notebook into the real world is less like flipping a switch and more like orchestrating a complex relay. Models that perform brilliantly in controlled tests suddenly encounter messy data, unpredictable users, and infrastructure that was not built for constant adaptation.

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  • 28 October 2025
  • appex_media
  • 11 Views

Scaling the Human Touch: How AI Agents Deliver True Personalization at Massive Scale

People expect experiences that feel crafted just for them. At the same time, businesses face millions of users, diverse contexts, and fast-changing preferences. Bridging that gap requires systems that think, adapt, and act on behalf of each person, without collapsing under load. This article explores how intelligent agents

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  • 28 October 2025
  • appex_media
  • 11 Views

Smarter Miles: How AI Is Rewriting Real-Time Route Optimization in Logistics

Logistics no longer tolerates plans that rust in a binder. Goods, people and information move through networks that breathe and shift every minute, and routing must keep up. This article walks through how intelligent systems transform routing decisions from sluggish, once-a-day exercises into continuous, data-driven adjustments. Expect practical

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  • 27 October 2025
  • 25 Views

Smart Workflows: How AI Agents Are Changing HR, Recruiting & Employee Support

Companies are reshaping how people are hired, onboarded and supported at work, and one of the clearest forces behind that change is the rise of intelligent automation. In the pages that follow I describe practical ways these tools behave, where they add value, and what leaders should watch

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  • 27 October 2025
  • 26 Views

When Machines Take Initiative: Practical Healthcare Use Cases for Agentic AI

Imagine a system that does more than answer questions or classify images. It makes plans, negotiates with other systems, follows through on tasks and adapts when things change — all within the high-stakes world of medicine. That capability is what people mean when they talk about agentic AI:

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  • 27 October 2025
  • 34 Views

When Machines Take the Ledger: Practical Guide to AI Agents in Finance and Banking

The arrival of intelligent, decision-making software has quietly shifted how money moves, risks are judged, and customers are served. In this article I walk through the practical landscape of AI agents in finance and banking: what they are, how they are built, where they already matter, and what

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