Analysts vs. Machines: AI/ML for cloud-scale data

Presented by

Joel McKelvey, VP of Product Marketing & Jeremy Blaney, Head of Market Intelligence & Strategy at Sisu Data

About this talk

Why do customers churn? Why is revenue down? What are my top channels to acquire new customers? Why is my business losing more orders in rural areas? The answer is in your data. As we move forward in modernizing the traditional data stack, companies are collecting more and more data. Getting through all the data is a growing challenge. Operationalized ML powered analytics can make analysts more efficient and eliminate rote data science work. Data teams need the ability to rapidly process cloud-scale data, separating signal from noise with pre-built and operationalized AI/ML tools. Join this webinar to learn the basics of how to: -Rapidly sift through data (in seconds) -Determine key drivers of metric change -Leverage artificial intelligence and machine learning in your data stack
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Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit