Planet Makes Its Geospatial Data Available Through Amazon SageMaker
December 14 2022 - 9:00AM
Business Wire
Planet Labs PBC (NYSE: PL), a leading provider of daily data and
insights about Earth, today announced it is making geospatial data
available through Amazon SageMaker, a fully managed machine
learning (ML) service from Amazon Web Services (AWS). Now, Planet
data can be directly embedded into Amazon SageMaker, allowing data
scientists and ML engineers to acquire and analyze global, daily
satellite data. With this data, customers can train, test, and
deploy ML models all within Amazon SageMaker.
Planet operates the largest constellation of earth observation
satellites in the world, with the capacity to provide daily medium-
and high-resolution imagery of Earth’s landmass every day. Planet
is using AWS to better serve its customers who can now benefit from
the simplicity and speed of Amazon SageMaker’s new geospatial ML
capabilities to build, train, and deploy ML models using Planet’s
geospatial data at up to 10x the speed. These enhanced capabilities
create new opportunities for Planet customers to accelerate data
access within geospatial tools and cloud platforms.
Due to the challenging work required to use geospatial data for
ML, access to ML has historically been out of reach for many
geospatial data customers. With Amazon SageMaker, customers can
pull in their proprietary data sources, such as Planet satellite
data, from Amazon Location Service and AWS Data Exchange. It’s a
first of its kind partnership and the only on-demand, high cadence
satellite imagery ML model training, inference, and visualization
platform available in the market.
“Planet understands the challenges associated with ingesting and
supplying mass volumes of data,” said Planet President Kevin Weil.
“Using Amazon SageMaker, we can now offer ML capabilities with deep
integrations of multiple datasets, and we look forward to
developing and collaborating on complex models with our
customers.”
“Building, training, and deploying ML models using geospatial
data is a manual process for most organizations. The primary
barrier is the lack of purpose-built capabilities for performing ML
on these types of massive datasets,” said Kumar Chellapilla, GM AI
Services at AWS. “Amazon SageMaker can help simplify and accelerate
geospatial ML from months to minutes by enabling Planet customers
to enrich their datasets, train geospatial models, visualize the
results, and more. Together with Planet, we are excited to unlock
the value of geospatial data for their customers and help them make
accurate predictions.”
Purposely built for geospatial data, Amazon SageMaker geospatial
ML capabilities offer easy to use tools to orchestrate data
chunking and pre-processing operations for satellite imagery,
creating web-based visualizations, and creating seamless scaling up
for large datasets. The pre-built algorithms can reduce development
to just a few days and one-click deployment to the cloud, freeing
up customers' time.
Planet customers are invited to bring Planet data into the new
Amazon SageMaker geospatial ML capabilities to provide early-stage
feedback, beginning in December 2022. In November, Kevin Weil
participated in a fireside chat at AWS re:Invent where he teamed up
with AWS’s Kris Efland to discuss the opportunities of this
work.
About Planet Labs PBC
Planet is a leading provider of global, daily satellite imagery
and geospatial solutions. Planet is driven by a mission to image
the world every day, and make change visible, accessible and
actionable. Founded in 2010 by three NASA scientists, Planet
designs, builds, and operates the largest Earth observation fleet
of imaging satellites, capturing over 30 TB of data per day. Planet
provides mission-critical data, advanced insights, and software
solutions to over 800 customers, comprising the world’s leading
agriculture, forestry, intelligence, education and finance
companies and government agencies, enabling users to simply and
effectively derive unique value from satellite imagery. Planet is a
public benefit corporation trading on the New York Stock Exchange
as PL. To learn more visit www.planet.com and follow us on
Twitter.
Planet Labs PBC Forward-Looking Statements
Except for the historical information contained herein, the
matters set forth in this press release are forward-looking
statements within the meaning of the "safe harbor" provisions of
the Private Securities Litigation Reform Act of 1995, including,
but not limited to, Planet Labs PBC’s ability to capture market
opportunity and realize any of the potential benefits from current
or future product enhancements, new products, or strategic
partnerships and customer collaborations. Forward-looking
statements are based on Planet Labs PBC’s management’s beliefs, as
well as assumptions made by, and information currently available to
them. Because such statements are based on expectations as to
future events and results and are not statements of fact, actual
results may differ materially from those projected. Factors which
may cause actual results to differ materially from current
expectations include, but are not limited to the risk factors and
other disclosures about Planet Labs PBC and its business included
in Planet Labs PBC's periodic reports, proxy statements, and other
disclosure materials filed from time to time with the Securities
and Exchange Commission (SEC) which are available online at
www.sec.gov, and on Planet Labs PBC's website at www.planet.com.
All forward-looking statements reflect Planet Labs PBC’s beliefs
and assumptions only as of the date such statements are made.
Planet Labs PBC undertakes no obligation to update forward-looking
statements to reflect future events or circumstances.
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version on businesswire.com: https://www.businesswire.com/news/home/20221214005660/en/
Planet Press Claire Bentley Dale comms@planet.com
Planet Investor Relations Chris Genualdi, Cleo Palmer-Poroner
ir@planet.com
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