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.
Salesforce is using Apache Spark (batch, streaming, GraphX and ML) to power the Einstein platform and services. In this keynote and demo, Alexis will highlight how Salesforce is building intelligent Services for Einstein using activity data by leveraging Spark and Databricks to scale data science and engineering.
At Salesforce, Alexis is leading a team of data engineers and scientists focusing on deriving intelligence from activity data for Einstein platform. Alexis has over 20 years of software engineering experience and has building Spark based production applications for the last three years using Scala, Spark batch and streaming, GraphX, NLP and ML. Previously Alexis worked for Radius Intelligence, Concurrent Inc, Couchbase, Sun Microsystems/Oracle for 13 years and two large SIs in Europe. Alexis holds a Master's Degree in CS with a focus on Cognitive Sciences and has done countless online trainings around data science and engineering.