AI & ML Blog

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.

What makes an AI chatbot truly intelligent? Dive into how NLP helps bots understand users, automate support, and improve customer satisfaction — all while keeping the conversation natural.

Not sure whether to use supervised or unsupervised learning? This guide breaks down both approaches with clear examples and shows how to choose the right path for your AI project. SCAND’s team shares insights on making machine learning work for your business.

From personalized learning paths to gamified engagement, Computer Assisted Learning is redefining how we study — in schools, universities, and beyond. In this article, we explore the benefits, challenges, and technologies behind this powerful approach.

Struggling with slow, error-prone medical coding processes? This article explains how AI-powered medical coding software can streamline workflows, improve accuracy, and why a custom-built solution might be the best fit for your organization.

By 2025, more than 80% of business apps will use machine learning to work smarter and offer better user experiences. This article explains in simple steps how to create a machine learning app—from choosing the idea and tools to building, launching, and improving it over time.

AI in 2025 is making customer service faster, smarter, and more personal — not just for tech giants, but for everyone. Learn how AI-driven support changes the way businesses connect with customers.

This article explores how businesses can fine-tune large language models (LLMs) in 2025. It covers key methods, benefits, infrastructure needs, use cases, and challenges to help organizations decide if and how to customize LLMs for their goals.

Public LLMs are convenient, but not secure. If your business works with sensitive data, it’s time to take control. We tell you how to build your LLM: from choosing a model to implementing it in products.

How can companies ensure consistent, high-quality outputs from AI tools like ChatGPT across teams and projects? This article introduces the Prompt Engineering Management System (PEMS) — a solution designed to streamline, standardize, and scale prompt usage in enterprise AI workflows.