AI vs traditional software: key differences

{"title": "AI vs Traditional Software: Key Differences to Consider", "excerpt": "Evaluating AI tools and SaaS in 2026? Understand the key differences between AI and traditional software to make informed decisions.", "html": "<h1>AI vs Traditional Software: Key Differences to Consider</h1> <p>Evaluating AI tools and SaaS in 2026 requires a deep understanding of the key differences between AI and traditional software.</p> <h2>1. Development Process</h2> <p>The development process for AI software is often more complex and time-consuming than traditional software.</p> <h2>2. Data Requirements</h2> <p>AI software requires large amounts of data to train and improve its algorithms, whereas traditional software typically relies on pre-defined rules and logic.</p> <h2>3. Scalability</h2> <p>AI software can scale more easily than traditional software, as it can adapt to changing data and processes.</p> <h2>4. Customization</h2> <p>AI software can be customized to meet specific business needs, but this can also lead to complexity and maintenance issues.</p> <h2>5. Maintenance</h2> <p>AI software requires ongoing maintenance and