Do Dung

As COO of AMELA Technology, Dung Do draws on more than a decade of experience in software development to bridge business strategy and technical execution. He ensures operations run seamlessly while guiding teams to deliver impactful, high-quality solutions for clients worldwide.

AI Agent Workforce Platform: 7 Features to Evaluate

#AI Development Insights

Businesses are moving beyond AI chatbots, but connecting several AI agents into a reliable business workflow is a different challenge. One agent may retrieve information, another may process a request,...

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AI Anomaly Detection for Warehouse Security

#AI Development Insights #Software Development Insights

Warehouses handle high-value inventory, frequent deliveries, contractor access, and activity across multiple shifts. Traditional CCTV records much of this activity, but identifying a suspicious event across hours of footage can...

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AI Supplier Product Data Enrichment: A Practical Guide

#AI Development Insights #Software Development Insights

Supplier product data often arrives incomplete, inconsistent, or trapped across spreadsheets, PDFs, and product documents. AI supplier product data enrichment helps turn that fragmented information into structured, standardized, and usable...

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AI Condition Assessment Tools for Reducing Fraudulent Returns

#AI Development Insights #Software Development Insights

AI condition assessment tools use computer vision and return data to evaluate product condition, identify inconsistencies, and flag potentially fraudulent returns for review. For retailers, the challenge is not simply...

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How Food Delivery Apps Share Security Assurance With Partners

#Mobile App Development Insights

Food delivery apps share security assurance through documented controls, access rules, compliance evidence, secure integrations, and clearly defined responsibilities between the platform and its partners. A delivery ecosystem can connect...

How AI Agent Assist for In-App Support Escalations?

#AI Development Insights #Mobile App Development Insights

When an in-app support issue needs human attention, a poor handoff can leave agents searching for context while customers repeat the same information. AI agent assist for in-app support escalations...

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AIOps for SMBs: How AI IT Operations Help Monitor, Secure & Scale Systems?

#AI Development Insights #Software Development Insights

Digital infrastructure complexity shouldn’t exhaust an IT budget. For small and medium-sized businesses (SMBs), maintaining application uptime, managing cloud dependencies, and resolving unexpected system crashes manually has become an expensive...

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AI Software Engineering Consultants vs In-House Teams: 9 Key Differences

#AI Development Insights #Software Development Insights

Choosing between AI software engineering consultants vs in-house teams is less about which model is universally better and more about which capabilities your company needs to own permanently. AI engineering...

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AI and Automation Deployment for Mid-Market Companies: From Pilot to Production

#AI Development Insights

AI and automation deployment for mid-market companies is no longer mainly a question of whether the technology works. The harder challenge is turning promising AI tools into reliable workflows that...

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AI Team Structure: Roles, Responsibilities, and Best Practices

#IT Team Extension Insights

Building an AI capability requires more than hiring a few machine learning specialists. AI projects combine product strategy, software engineering, data, model development, infrastructure, security, and ongoing evaluation. The need...

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