Data Leadership, AI, Data Science, Coding, Software Development.
a balance that is still being fine-tuned. Preserving traditional software development methods is still necessary, particularly for applications where precision, safety, and reliability are of utmost importance. Critical systems in healthcare, aviation, and finance often require detailed programming