Artificial Intelligence (AI) and Machine Learning (ML) are interconnected fields within computer science focused on creating systems that can mimic human intelligence and learn from experience to improve their performance over time. AI refers to the broader concept of machines or software systems being able to perform tasks that typically require human intelligence....
Legacy applications often use outdated technologies or architectures that may be difficult to maintain, inefficient, or incompatible with modern systems. The goal of modernization is to enhance the application’s performance, usability, scalability, and security, while minimizing disruption to existing business processes...
Quality Assurance (QA) and testing are critical pillars in the software development lifecycle, playing a pivotal role in ensuring that software products meet or exceed the standards for functionality...
Mobile development refers to the process of creating software applications specifically designed to run on mobile devices, including smartphones, tablets, and wearables. As mobile technology continues to evolve...
Robotic Process Automation (RPA) is a technology that uses software robots or "bots" to automate repetitive, rule-based tasks typically performed by humans. These tasks often involve interacting with digital systems and applications...
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