In this webinar, Manish Pandey discusses how real-time data computing capabilities can help financial services institutions meet increasing demands from consumers. He highlights the transformative effect of machine learning and artificial intelligence in helping banks provide seamless experiences to their customers. With over 50% of consumers leaving their bank due to dissatisfaction, financial institutions must balance friction with customer expectations for a seamless experience. Pandey emphasizes the importance of leveraging digital-native companies' strategies to understand consumer behavior, as seen in the success of Google, Uber, and Facebook. He also notes that consumers are increasingly comfortable with online transactions and are expecting hassle-free interactions across multiple channels. To address these challenges, financial institutions must adopt real-time data computing capabilities, such as SingleStore, to gain a competitive edge. By leveraging analytics, machine learning, and AI, banks can predict, optimize, and forecast, while also streamlining their operations and improving customer satisfaction. Ultimately, the pace of change is accelerating, and consumers expect speed, ease, and convenience in their interactions with financial institutions.