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How Machine Learning is Building Better Salesforce Systems

July 20, 2021 by Steve Pogrebivsky Leave a Comment

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Our interactions with machine learning change the way we think about computers. Rather than simply automating activities such as data processing, machine learning attempts to reproduce how humans think. Once properly trained, computers can take over decision-making with minimal human intervention.

When it comes to Salesforce systems, machine learning can assist users in managing their data and facilitate developers in creating more efficient applications. As James Ward, a platform evangelist at Salesforce, summarizes in his video Adding Intelligence to Salesforce Systems with Machine Learning, saying, “We put data in and ask the machine to give us a prediction back.”

In this example, Ward is using machine learning with PredictionIO to build better Salesforce AppExchange applications. How does he do it? Simply put, it’s pattern recognition via ones and zeros. Start with data, create an algorithm, apply that algorithm, which then makes decisions based on what it sees in the data. Voilà,

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