AI & ML Blog (Page 5)
Having decades of successful experience, we are sharing here our expertise, outlining industry and technology trends as well as benchmarking them.
How to Integrate a Local LLM into a Mobile App: iOS & Android Guide for Businesses
This article explains how local (on-device) LLMs can be integrated into mobile applications on iOS and Android, covering use cases, architecture options, models, frameworks, RAG design, and hardware constraints.
AI Coding Assistants for GitHub & GitLab: How to Integrate and Scale Development
How can companies use AI coding assistants with GitHub and GitLab to speed up software development? This article explains popular AI coding tools, how they integrate into development workflows, their benefits and limitations, and when businesses should build custom AI solutions.
How Generative AI Is Changing Procurement in 2026
Explore how generative AI is changing procurement in 2026 and what businesses can do to turn AI adoption into strategic value.
AI in Software Development: What to Look for When Choosing a Contractor in 2026
This article talks about how AI is changing software development and why clients should choose contractors who use AI tools. It also explains how AI can help get the job done efficiently while ensuring high-quality results.
What Is Vibe Coding and Why It Fails in Production
This article explains what vibe coding is and why it has become a popular approach for building software using AI. It also explores why vibe-coded applications often fail in production and how combining AI with proper engineering can make them more resistant.
Why AI-Generated Code Doesn’t Work — and How to Fix It
AI-generated code looks right but often fails in real use. This article explains why it happens and how to fix it.
Internet of Things in Smart Homes
Explore how IoT is transforming smart homes through connected devices, Matter interoperability, AI-powered automation, smarter energy management, and stronger security by creating more adaptive, efficient, and integrated living environments.
What is Parameter-Efficient Fine-Tuning (PEFT) for Large Language Models?
PEFT enables businesses to fine-tune AI models without retraining them from scratch, reducing costs and accelerating implementation. In our latest article, we explore how this approach helps companies unlock the power of AI more efficiently.
Best AI Agent Development Companies in 2025
The future of business automation lies in AI agents — intelligent systems that act, adapt, and deliver real impact. In this article, we highlight the top AI agent development companies in 2025 and explain why SCAND is your best choice.
AI Agent Development: How Agentic AI Is Shaping Tomorrow’s Technologies
Agentic AI is changing the way businesses think about automation — moving from simple tools to intelligent digital agents that plan, act, and adapt. Learn how agent-based systems are already transforming industries and how your company can benefit from this shift.