🚀 Trusting your data is essential for scaling agentic AI! A recent survey highlights that half of chief data officers face challenges with data quality and retrieval when adopting AI technologies. This points to a crucial investment area for businesses aiming to harness the full potential of AI. As someone who believes firmly in the power of effective data management, I encourage organizations to prioritize enhancing data quality—start by auditing your data sources and improving retrieval processes. Taking these steps can pave the way for smoother AI deployment and better outcomes. Remember, investing in your data today leads to powerful insights tomorrow! Read more about this topic here: https://www.zdnet.com/article/execs-increase-data-management-investment-to-support-agentic-ai-adoption/ #DataManagement #AgenticAI #AIadoption #DataQuality #CDOInsights

🚨 Is our AI learning a bit too much from the "internet slop"? 🤖 When models are trained on unverified data, they start drifting from reality faster than a cat chasing a laser pointer! This article from Gartner highlights the dangers of this trend and offers solutions to keep our AI on track. As someone who relies on tech, it’s a bit scary to think that the bots might start making decisions based on questionable data—like choosing pineapple on pizza! 🍍 But fear not; with the right strategies, we can ensure that AI stays grounded in reality. Let's keep our machines smart, not silly! Read more about it here: https://www.zdnet.com/article/ai-is-poisoning-itself-model-collapse-cure/ #AI #MachineLearning #DataQuality #TechNews #Gartner