Industrialize AI with Cloudera
Organizations face challenges in consistently and repeatedly building and deploying machine learning capabilities to drive efficiencies and cost savings at scale. For example, machine learning for predictive maintenance has the potential to dramatically lower costs in many industries, yet businesses still face challenges related to data management, tools, and the machine learning lifecycle in their journey to deploying capabilities repeatedly and successfully at scale.
Jessie Lin
Cloudera
Jessie Lin is a sales engineer at Cloudera, with twenty years of experience specializing in machine learning and data warehousing. She’s passionate about leveraging data to solve business challenges such as predictive maintenance and fraud detection. Jessie leads a team of solution engineers focusing on machine learning and has helped the largest financial institutions, telecoms, and high-tech manufacturers better engage their customers to achieve higher ROI on data platforms. She holds an MBA from the University of Texas at Austin and a BS in information science from Fudan University.
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