Part 6/7:
A critical takeaway from this discussion was the call to reconceptualize how we approach AI. Instead of reserving it solely for the end phase of analytics, organizations should embed AI earlier in the process—starting with use case design. By doing so, they can optimize workflows, reduce redundancies, and accelerate insights. This proactive embedding of AI promotes a more agile and efficient approach to data analytics, ultimately leading to faster, more accurate, and more insightful outcomes.