Corporate Blog: Artificial Intelligence (Page 6)

Curious how investors earn passive income through crypto liquidity pools? This article explains what liquidity pools are, how they work, and how to choose the best ones in 2025 to maximize rewards while managing risks effectively.

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.

AI can accelerate coding, but delivering a full product takes much more. We explore where AI excels, where it falls short, and why human developers are still essential.

This article explains what a cross-chain DEX arbitrage bot is and how it helps crypto traders profit from price differences across decentralized exchanges on different blockchains.

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.

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.

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.