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Saturday, October 20 • 10:30am - 11:00am
Using AI to provide insights and recommendations from activity data

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Brief Description: In the customer age, being able to extract relevant communications information in real-time and cross reference it with context is key.
This presentation will explain how Salesforce is using data science and engineering to monitor Salespeople activities in real-time and surface insights and recommendations across products.

Salesforce is developing Einstein which is an artificial intelligence (AI) capability built into the core of the Salesforce Platform. Einstein helps power the world’s smartest CRM to deliver advanced AI capabilities to sales, services, and marketing teams – helping them discover new insights, predict likely outcomes to power smarter decision making, recommend next steps, and automate workflows so users can focus on building meaningful relationships with every customer.
In this presentation, we will explain how Salesforce Einstein Activity Platform combines activity data (such as emails) with contextual knowledge from users and CRM data to provide real time insights and recommended actions.
We will go over use cases, high level architecture and how a variety of technologies (data engineering, data science, graph processing, NLP, machine learning and deep learning) are combined together to support Salesforce applications.

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 →

Saturday October 20, 2018 10:30am - 11:00am PDT
Ballroom # 406