Do You Trust Your Machine Learning Outcomes?

Presented by

Tendü Yoğurtçu, CTO, Precisely

About this talk

With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions? View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including: - Poor data quality - Data silos - Lack of context that enriches the understanding of your data

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Precisely is the global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the Fortune 100. Precisely’s data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes. Learn more at