Machine Learning: Turning Big Data into Insights

This is part one of a two-part series. See part two for more insights from PROS Chief AI Strategist, Dr. Michael Wu: AI: The Next Evolution in Digital Darwinism.

To most laymen, the work of data scientists is a form of digital alchemy. They distill huge volumes of data into bits of information and insights that are extremely valuable to businesses. Although there are many tasks that data scientists do, few can call themselves a true data scientist without knowledge of machine learning (ML). But what is ML? This esoteric subject is often misconceived. Contrary to popular beliefs, ML has little to do with pattern recognition or artificial intelligence. Instead, it’s a rigorous procedure in statistical science that help data scientist choose the best model to fit a data set. This presentation provides an operational understanding of what ML really entails and demystifies the work of data scientists. Moreover, it will reveal the black art that every data scientist must perfect while practicing data science in the industry. Knowing how to leverage this black art well makes the difference between a good data scientist and a great one.

About the Speaker

Dr. Michael Wu's research spans many areas, including customer experience, CRM, online influence, gamification, digital transformation, AI, etc. His R&D won him recognition as an Influential Leader by CRM Magazine along with Mark Zuckerberg and other industry giants. Wu believes in knowledge dissemination, and speaks internationally at universities, conferences, and enterprises.

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