Articles › AI

Executive Summary for CEOs & CTOs Artificial Intelligence is rapidly transforming custom software development. AI can now generate code, automate testing, and even assist with DevOps workflows. This has led many enterprise leaders to question the role of a traditional software development company. However, enterprise software development is not just about writing code. It is […]

1. The Enterprise System Problem in 2026 Modern enterprises face increasing pressure: AI disruption across industries Rising cybersecurity threats High SaaS licensing costs Vendor lock-in Slow development cycles Traditional enterprise vendors are expensive, inflexible, and closed. Many companies now realize that owning their architecture is more strategic than renting software forever.

The AI Revolution in Software Development Artificial Intelligence is transforming how software is built. But the real question is not: “Can AI write code?” The real question is: “Can AI help build smarter, more reliable systems that drive business growth?” At Simplico Co., Ltd., we combine AI-assisted engineering with deep system architecture expertise to deliver […]

What Is Agentic Commerce? Agentic Commerce refers to AI-powered autonomous systems that can plan, optimize, and execute purchasing decisions on behalf of users or businesses. Unlike traditional e-commerce systems that require humans to manually search, compare, and checkout, Agentic Commerce enables AI agents to: Monitor pricing in real time Compare suppliers automatically Negotiate bulk conditions […]

Software development is no longer primarily about typing code fast or memorizing frameworks. In 2026, the most valuable developers are those who can think in systems, reason about risk, and turn software into real business impact. The rise of AI-assisted coding has accelerated this shift dramatically. This article explains how developer skills are evolving, why […]

Predicting market movements is famously hard. Instead of claiming “AI will predict prices,” this Python script takes a more honest and practical approach: Estimate the probability that price will move up or down in the near term using transparent heuristics. This article explains the script’s design, the signals it blends, and how you can extend […]

Financial opportunities rarely appear as obvious signals. They emerge when price, risk, or expectations become temporarily misaligned. Artificial Intelligence (AI) does not magically predict the future—but it excels at detecting conditions where opportunities are statistically more likely to exist. This article explains how AI helps identify financial opportunities, from short‑term trading to long‑term macro investing, […]

ONNX (Open Neural Network Exchange) is one of the most practical formats for deploying machine learning models on mobile devices. It allows you to train models once (PyTorch, TensorFlow, etc.) and run them efficiently across Android, iOS, and cross-platform frameworks like React Native and Flutter. This article explains how ONNX inference works on mobile, with […]

The Silent Shift No One Can Ignore For more than 20 years, the internet worked on a simple rule: if you wanted knowledge, you searched for it, clicked a website, and read. Writers were rewarded with traffic, reputation, and sometimes money. AI systems like ChatGPT have quietly broken this loop. Today, people no longer search […]

Artificial Intelligence promises speed, automation, and insight. Yet in real-world software projects—especially enterprise, GovTech, ERP, and industrial systems—AI often breaks systems instead of improving them. This usually does not happen because AI models are "bad", but because they are applied with the wrong mental model. This article documents common anti‑patterns we see when AI is […]

How Security Teams Use AI to Manage, Tune, and Scale Wazuh Faster Why Wazuh Administration Is Harder Than It Looks Wazuh is powerful, open-source, and flexible—but that flexibility comes with operational cost. Many Wazuh administrators struggle with: Writing correct detection rules Tuning alerts without losing visibility Mapping alerts to real business risk Explaining findings to […]

Local governments around the world are under pressure to do more with limited budgets, limited staff, and legacy systems. While AI is often presented as a futuristic solution, many public-sector AI projects fail because they focus on technology first instead of government workflows. This is where Vertical AI becomes essential. Vertical AI does not start […]

Why this article exists Every major technology wave follows the same emotional arc: Excitement → Overpromise → Disappointment → Quiet value creation AI is not special in this regard. What is special is how fast the hype arrived — and how fast organizations are now discovering that intelligence alone does not create value. This article […]

Introduction Many recycling companies are investing in AI technologies with the hope of improving efficiency, yield, and profitability. However, a significant number of these projects fail to deliver real business value. The primary reason is not the AI models themselves—but the lack of proper system integration. This article explains why AI initiatives in recycling often […]

For several years, low‑code and no‑code platforms were positioned as the future of software development. The promise was compelling: build applications faster, reduce engineering cost, and allow non‑developers to create real systems. But in 2025, the momentum has clearly slowed. Low‑code is not dead—but it is no longer where innovation is happening. This article explains […]

In 2025, technology did not fail. AI models became stronger. Hardware became faster. Cloud platforms became more mature. Open‑source ecosystems expanded rapidly. And yet, products failed at a historic rate — from AI devices and enterprise platforms to consumer hardware and robotics startups. This article is not a list of “bad products.” It is a […]

Executive summary Agentic AI is no longer a research concept. It is already reshaping how enterprises automate work, integrate legacy systems, and scale operations. But not all agentic AI systems are built the same. In this article, we explain the real difference between: Manus (fully autonomous AI agents) OpenAI’s agentic AI frameworks Google’s agentic AI […]

1. What Vertical Integration Means in a Hospital Context Vertical integration in hospitals means connecting patient-facing, clinical, operational, and financial systems into one continuous, intelligent flow. Instead of isolated software silos, the hospital operates as a single system where data, decisions, and actions move seamlessly end to end. Patient → Clinical Care → Diagnostics → […]

For years, industrial AI discussions focused on models: accuracy, datasets, and algorithms. In 2026, that focus is shifting. The real differentiator in industrial environments is no longer which model you use, but how AI is executed reliably, efficiently, and safely inside real systems. This is where AI accelerators and software frameworks quietly redefine the market.

Why Enterprises Worldwide Need Reliable Automation Now Across global enterprises, e-commerce platforms, ERP systems, internal tools, and legacy applications have evolved independently over many years. The result is a complex operational landscape where: APIs exist but are limited, unstable, or inconsistent File-based integration (CSV, batch jobs, SFTP) is still mission-critical Business changes require costly, risky […]