Some of you may have heard or read the entrepreneurial staple “Founders at Work”. Now that data science has come to focus for the mainstream public, it was time for “Data Scientists at Work”. It is a collection of interviews with sixteen of the world’s most influential and innovative data scientists from across the spectrum of this hot new profession. Among others, there are interviews with Yann LeCun of Facebook, Amy Heineke of Quid and Roger Erhenberg of IA Ventures. One of the sixteen interviews is with Planet OS co-founder and Research Lead André Karpištšenko.
Planet OS recently showcased its technology at Stanford University, during the “New Technologies for Ocean Data Exploration” seminar organized by Nicole Sarto. The event included Dr. Christopher Clark’s presentation “Why We Need Planet OS: Petabytes of Bioacoustic Data in Clouds of Noise“, which we’ve shared above for those unable to attend.
Dr. Christopher Clark, a renowned expert of bioacoustics and marine mammals, and Chief Marine Scientist at Planet OS, discussed the challenges of working with spatial marine data and the importance of new tools that improve the way ocean data is discovered, managed, and analyzed. The presentation provides insight into the impact of anthropogenic noise on the marine ecosystem, as well as the challenges associated with spatio-temporal-spectral data workflows.
Within his presentation, Dr. Clark highlights various use cases, including monitoring and analyzing the migration patterns of endangered Right whales, and the acoustic impacts of global commercial shipping and seismic airgun surveys for offshore energy exploration. Dr. Clark argues that the current non-uniform, non-standardized data workflows are grossly inefficient, and that in order to effectively generate innovative and insightful data products, proper data management and distribution is required.
Marinexplore Becomes Planet OS to Map and Analyze Planetary Big Data
Marinexplore, the world’s first big data platform for ocean data extends its platform to include land data and becomes Planet OS. Industries and governments processing vast amounts of data drawn from connected sensors on land and sea can now use a single platform to transform their data into real-time insights.
Mike Odell, a top sales executive with 30 years of experience in the oil and gas software industry, has joined Marinexplore as VP of Sales. Mike joins us from Paradigm Geophysical, where he served as Managing Partner, Global Accounts. Prior to Paradigm, Mike held key positions at Halliburton, MDA GeoSpatial Solutions, MetaCarta, and Elumens, making him a natural fit here at Marinexplore.
His experience with specialized software in data management, geophysics, satellite imagery and graphics will help us advance our enterprise offering that our customers use to transform their wide variety of planetary data into actionable assets.
During his first day with the team Mike shared, “The oil and gas industry handles and processes enormous amounts of data. What Marinexplore has created in a short two years is an incredible platform for automating data transformation and management. With universal accessibility and on-demand visualization, it can take customers’ analytics to an entirely new level of performance and decision-making.”
Mike will be based in Houston, Texas, and will work closely with our teams in the U.S. and Estonia. You can reach him at firstname.lastname@example.org.
In-situ devices and sea surface temperature heatmap displayed in an Arctic Polar Stereographic projection.
We’re excited to announce that Arctic and Antarctic projections are now available in MarineOS, our integrated platform for ocean data management. This means that it’s now possible to view Arctic Ocean and Southern Ocean datasets from a much more intuitive polar perspective. Because MarineOS is used to power marinexplore.org, this new feature is now available there as well.
To view data using these new projections, simply select your desired projection from the drop-down menu in the Data Studio, highlighted below. You can freely change your projection at any time, and the Data Studio will maintain its current filter state.