Welcome to this week’s edition of Raw Data, where we're diving into a timely discussion on the evolution of AI and its comparison with revolutionary technologies of the past, like Power BI. This episode features host Rob Collie and co-host Justin Mannhardt engaging in a deep dive into the hype cycles that have surrounded transformative tech over the years.

Drawing on Rob’s rich experience, we take a step back in time to explore the transformative journey of Power BI, a tool that redefined the landscape of business intelligence by making sophisticated analytics accessible, swift, and economical. This story of innovation and foresight is juxtaposed with the current state of AI— a field bustling with potential yet shrouded in a mix of anticipation and ambiguity for many businesses.

In this episode, Rob and Justin dissect the realities behind the AI hype, urging a pragmatic approach towards technological adoption. They highlight the importance of mastering existing analytics tools like Power BI, which many organizations have yet to fully leverage, before being swept up in the whirlwind of AI enthusiasm. This practical perspective is essential for businesses aiming to make meaningful advancements in their digital transformation journey.

As we navigate these discussions, the episode serves as a beacon for those looking to understand the true impact of AI in the context of proven technologies. It's a call to action for focusing on tangible business problems, employing a strategy that prioritizes impactful solutions over the allure of the latest tech trend.

If you're excited by the intersection of AI, analytics, and business strategy, you can’t miss this episode. And as always, if you enjoyed this episode leave us a review on your favorite podcast platform. Your feedback helps shape our content and reach more listeners. Additionally, for those eager to dive deeper and share your thoughts, we invite you to join our LinkedIn Steering Committee. Your insights and suggestions are what shape our journey forward, illuminating paths to future episodes and discussions.

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