Human-machine interaction is no longer the exclusive province of science fiction. The advance of the internet and connected devices has inspired data scientists to create machine-learning applications to extract value from these new forms of data.
So what’s the next frontier?
Eric Frenkiel explains how to use real-time data as a vehicle for operationalizing machine-learning models by leveraging MemSQL, exploring advanced tools, including TensorFlow, Apache Spark, and Apache Kafka, and compelling use cases demonstrating the power of machine learning to effect positive change.
This keynote is sponsored by MemSQL.
Eric Frenkiel is the cofounder and CEO of MemSQL, an in-memory distributed database that combines real-time and historical big data analytics. MemSQL is a Y Combinator company that has raised more than $45M in venture capital. Prior to MemSQL, Eric worked at Facebook on partnership development. He has worked in various engineering and sales engineering capacities at both consumer and enterprise startups. Eric is a graduate of Stanford University’s School of Engineering. In 2011 and 2012, Eric was named to Forbes’s 30 under 30 list of technology innovators.
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