SingleStore Showcases Machine Learning Image Recognition for Apache Spark

SAN FRANCISCO, CA - June 5, 2017 - SingleStore, provider of the fastest real-time data warehouse, will host a kiosk and run a session on real-time image recognition using machine learning on June 7, at Spark Summit 2017. Led by Nikita Shamgunov, CTO of SingleStore, the session will delve into image recognition techniques available with Apache Spark, and how to put those techniques into production.

.@SingleStoreDB CTO Nikita Shamgunov showcases machine learning image recognition at #SparkSummit - Click to Tweet

From smartphones to Spectacles, computing has pushed limits and now there is a mandatory need for digital image processing. Additionally, new computing models have rapidly emerged to help data engineers harness the power of this imagery, and vast resources associated with cloud platforms have moved the industry forward quickly.

During the session, SingleStore will showcase how to make the most of digital imagery in real-time as well as discuss how to architect integrations with popular machine learning frameworks like TensorFlow and its ability to take advantage of GPUs.

The session will also cover:

• Architectural considerations in building an image recognition pipeline
• Advantages and pitfalls of specific approaches
• Real-time capabilities for instant matches
• Use of a fast relational datastore to persist data from Spark

To learn more, check out Nikita’s session on Wednesday, June 7 from 2:40 p.m. to 3:10 p.m. in Room 2022 or visit us at Kiosk 7 in the Expo Hall at Moscone West, in San Francisco.

About SingleStore

SingleStore delivers the leading database platform for real-time analytics. Global enterprises use SingleStore to achieve peak performance and optimize data efficiency. With the combined power of database, data warehouse, and streaming workloads in one system, SingleStore helps companies anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world. Visit singlestore.com or follow us @SingleStoreDB.