Completing Knowledge Discovery Fast at High Quality with AI


In recent years, the integration of artificial intelligence (AI) has revolutionized the process of knowledge discovery, leading to significant improvements in both speed and the overall quality of discovery results. However, the success rate of data science and data-driven discovery projects remains notably low, as research conducted by Gartner and other reputable sources indicates a success rate of 20% or lower. In this presentation, our speaker will commence by conducting a comprehensive review of a list of common failure factors. Additionally, they will present an AI-driven ecosystem approach for knowledge discovery and discuss a real-world test of this approach involving 14 knowledge discovery projects. Through this, attendees will gain valuable insights into the crucial connection between the success of data-driven knowledge discovery projects and advancements in AI technology. Participants will also grasp how this ecosystem approach can yield remarkable gains in speed, enhanced quality, and effective risk mitigation for knowledge discovery initiatives. Furthermore, the session will highlight additional advantages brought about by the implementation of AI, such as the utilization of diverse data forms, the application of various algorithmic approaches, and the improvement of communication among project stakeholders. To conclude the presentation, the speaker will review the history of AI development. Subsequently, they will engage in a discussion of insights gleaned from this historical review and explore future trends in the field. The session will conclude with a question-and-answer segment open to all participants.


Dr. Alex Liu is the founder and Director of the RMDS Lab, a data and AI ecosystem service provider. From 2013 to 2019, Alex was one of the data science thought leaders and a distinguished data scientist at IBM where he served as a Chief Data Scientist for analytics services. Before joined IBM, Dr. Liu worked as a chief data scientist for a few companies including iSKY and Retention Science. Previously, Dr. Liu taught advanced quantitative methods to PhD candidates in the University of Southern California and the University of California at Irvine, while consulted for many well-known organizations such as the United Nations and Ingram Micro. Alex has a MS of Statistical Computing and a PhD of Sociology from Stanford University.

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