Albert Qian is a Product Marketing Manager focused on technology partnerships at SAS Institute, focusing on the value of integration for uncovering business insights and decision-making. Located in Silicon Valley, Albert has been around technology his entire life and enjoys telling the story of its transformative power in all aspects of life.
Organizations have spent the past few years experimenting with AI. The question now isn't whether AI can generate insights. It's whether organizations can consistently turn those insights into business decisions that create measurable value. That's where many AI initiatives stall. Models perform well in development but never make it to
Organizations have spent years investing in data, analytics and AI. Many now have dashboards, predictive models and generative AI tools. Yet one challenge continues to surface: turning those insights into timely, consistent decisions. That’s one reason decision intelligence is getting more attention. As AI becomes part of everyday business, organizations
Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights
