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Friday, November 16 • 9:50am - 10:30am
Building a Contacts Graph from activity data

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In the customer age, being able to extract relevant communications information in real-time and cross reference it with context is key. Salesforce is using data science and engineering to enable salespeople to monitor their emails in real-time to surface insights and recommendations using a graph modeling contextual data. In this presentation, Alexis will explain how Salesforce AI Inbox builds and uses an activity graph (based on emails, meetings, ...) to offer services such as recommended connections and provide context for real time insights and recommended actions. Alexis will go over use cases, technical architecture, best practices to show how the Graph and services are built and do a live demonstration.

avatar for Brad Powley

Brad Powley

Sr. Machine Learning Engineer, Salesforce
Brad is a machine learning engineer at Salesforce, focusing on contextual services for the Einstein platform.Brad has over a decade of engineering experience, and a half-decade of strategy consulting, sandwiched around a PhD in management science. Now he is an engineer again!Brad... Read More →
avatar for Alexis Roos

Alexis Roos

Director Data Science, Salesforce
Alexis is director of data science and machine learning at salesforce where he is leading a team of data scientists and engineers delivering Intelligent services for Einstein platform. Alexis has over twenty years of engineering and management experience including 13 years at Sun... Read More →

Friday November 16, 2018 9:50am - 10:30am PST