Our Director of Digital Transformation, Mr. Jamal Dweik, discussed pointers about “Building an A.I. Platform to Retain Connected Customers” where he illustrated the importance of having “good” quality data, the main element for creating viable Artificial Intelligence (AI) models and algorithms.
During his speech, Mr. Dweik explained how finding anomalies is uncomplicated if the “INFORMATION PLATFORM” is constructed correctly. He, also, gave examples of some of the utilities that can be employed to govern the quality of data, sustain its validity, and the association between sample data size and bounds – bigger sample tighter bounds – whilst building the bank’s information platform. Mr. Dweik, furthermore, described four factors that contributed to the realization of Artificial Intelligence (AI): the use of Massive Data, Massive Models, Trial & Error, and Feature Engineering.
He concluded by echoing the importance of maintaining quality data, investing in refining the necessary tools and applications to generate proper analysis and insights, and, lastly, the use of AI Models and how to prevent them from “rust” becoming impractical.