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Use statistical models and machine learning to analyze historical data and make predictions about trends and events in your business.
Summarize and describe historical data to provide insights.
Recommend future courses of action to achieve desired outcomes.
Identify data sources that will be used for analysis to meet business objectives.
Clean and transform data to prepare it for analysis.
Select appropriate statistical or machine learning models to be used for analysis. Train the models on prepared data.
Use the model to generate insights and learning.
Generate reports, graphs, and dashboards to present or publish the results to business stakeholders.
Pawan Jadhav, CEO of Lateetud, takes you through the practical applications of Artificial Intelligence (AI) and Machine Learning (ML) in Consumer, Commercial and Mortgage Banking in this interactive webinar.
Leaders from AST, Lateetud, and SS&C Blue Prism in a discussion on how they leveraged technology to navigate the unprecedented challenges posed by Covid-19. Watch now!
