Demand for AI and predictive machine learning continues to increase as organizations realize the value data science models provide. In a recent TDWI survey, for instance, over 70 percent of respondents stated that demand for machine learning was increasing. Success depends on building, deploying, and managing a robust model with the right data and features, as well as surfacing the predictions in a way that the organization can best leverage them. Yet many organizations struggle with this process. Machine learning output is often made available for the few on data science teams, rather than the line-of-business majority seeking such insights to influence and shape their mission-critical decisions. A unified approach is critical for bridging the gap and empowering both groups to have a larger business impact.
Watch this on-demand Virtual Solution Spotlight webinar and learn about data and analytics technology strategies for machine learning. Learn how you can extend predictive analytics to business users in a simple, interactive, and more transparent way. Discover how machine learning and AI can be used within a BI platform to help every business user make better decisions.