TDWI Checklist Report | AI for BI: Six Strategies for Augmenting Business Intelligence with AI and Machine Learning
September 28, 2018
Business intelligence (BI) is entering a new era as artificial intelligence (AI) becomes a mainstream part of BI technologies and practices. AI will ultimately impact all aspects of BI, from the discovery, selection, collection, and integration of data to its analysis and visualization. However, users need to be able to trust that the insights they receive through AI-infused BI and analytics are accurate, relevant, and transparent.
Although the focus on AI industrywide is often about automating decisions and robotics, for BI the aim is to “augment” or enhance intelligence so that humans can make better decisions. The augmented intelligence provided by AI can improve self-service capabilities to let nontechnical users engage in more relevant data interaction. AI-infused BI systems can become active partners in decision making by delivering timely insights and prescriptive, in-context recommendations tailored to users’ needs.
This TDWI checklist discusses six best practices for gaining greater value from AI for BI and self-service analytics. Our objective is to help organizations accomplish projects faster and provide relevant and accurate insights that users can trust.