Building the Bloomberg for Climate Data with FOSS
This is a modal window.
The media could not be loaded, either because the server or network failed or because the format is not supported.
Formal Metadata
Title |
| |
Title of Series | ||
Number of Parts | 351 | |
Author | ||
License | CC Attribution 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
Identifiers | 10.5446/69027 (DOI) | |
Publisher | ||
Release Date | ||
Language | ||
Production Year | 2022 |
Content Metadata
Subject Area | ||
Genre | ||
Abstract |
| |
Keywords |
FOSS4G Firenze 2022217 / 351
1
7
13
22
25
31
33
36
39
41
43
44
46
52
53
55
58
59
60
76
80
93
98
104
108
127
128
133
135
141
142
143
150
151
168
173
176
178
190
196
200
201
202
204
211
219
225
226
236
242
251
258
263
270
284
285
292
00:00
BuildingOpen sourceForcing (mathematics)Goodness of fitAnalytic setComputer animation
00:27
Enterprise architectureOperations researchEndliche ModelltheorieComputing platformVisualization (computer graphics)Decision theoryPersonal digital assistantTemporal logicImage resolutionFrequencyScalabilityMeasurementDevice driverIntegrated development environmentMachine learningOpen sourceComputing platformParameter (computer programming)Office suiteDatabaseQuicksortSlide ruleSet (mathematics)Repository (publishing)PredictabilityRemote procedure callInsertion lossInternet service providerProcess (computing)Multiplication signPerspective (visual)Covering spaceCompilation albumScaling (geometry)Computer animation
02:26
SatelliteElectronic program guidePersonal digital assistantFormal verificationOpen sourceEndliche ModelltheorieNeuroinformatikLibrary catalogoutputData modelIntegrated development environmentRepresentation (politics)Temporal logicContext awarenessVector spaceComputer fontVisualization (computer graphics)Dependent and independent variablesSoftware developerTrigonometric functionsPlastikkarteUniqueness quantificationPoint (geometry)WebsiteBlogLink (knot theory)Parameter (computer programming)MathematicsWeb pageMotion capturePolygon meshVotingType theorySatelliteSoftware developerSpacetimeFrequencyOpen sourceBasis <Mathematik>Graph coloringQuicksortOpen setPurchasingMathematicsSet (mathematics)Computing platformCASE <Informatik>Data managementInternet der DingeExtreme programmingParameter (computer programming)Macro (computer science)Proper mapEndliche ModelltheorieArchaeological field surveyDenial-of-service attackBit rateLevel (video gaming)Computer animation
04:14
PredictionPower (physics)Level (video gaming)Water vaporParameter (computer programming)QuantificationSurfaceSatelliteQuantificationFrequencySoftware testingPredictabilityMereologyComputer animation
04:55
Open sourceCoalitionGame theoryFrequencySoftware frameworkCore dumpMereologyCoalitionOpen sourceCASE <Informatik>Slide ruleComputer animation
05:27
SpacetimeInternet forumWater vaporGroup actionData integrityGeometrySicInteractive televisionComputer programPrime idealTheory of relativitySpacetimeMereologyIntegrated development environmentComputer animation
05:46
Computer animation
Transcript: English(auto-generated)
00:00
OK, let's start. Good attendance. People woke up finally. I'm the CTO and co-founder of Blue Sky Analytics. We are building Bloomberg for climate data with forced technology. Climate change is one of the biggest crises that humanity is facing. And I think open source is a very crucial tool
00:22
to solving this. Without open source, I don't think there is a solution out there. Coming to the next slide. We are a three-year-old company. We were founded in India. Now we are expanding. We have our office in US. I'm based out of Netherlands. And we are hiring a team in Netherlands. So if you're sort of looking for a job, please bring me.
00:41
Then we have a million in revenue. We are sort of scaling that up. We have 300 plus users. We have a team of 30 people in India. And we have built all this platform in-house using Phosphogee. You might have attended my colleague's talk yesterday about building a spatiotemporal database using Postgres, PostGIS,
01:01
and TimescaleDB. My friend, Michael, just gave me another talk about how we are using open source tools to predict fire emissions all over the world. And that's the sort of stuff that we do. Coming next, we all know that climate emergency is a problem. And it is the only problem with a deadline.
01:20
And we have something around next 30, 40 years to solve this. And it's a very pressing issue. And I think whoever is from Italy might have realized that it's getting hotter every day, every year. And that's a problem that we have to start looking. And from a financial perspective, from an insurance perspective, we have to start
01:41
taking this climate data and this changing climate into the risk and underwriting that we have. So just like pandemic happened, we were not prepared for pandemic. And we are not prepared for climate change as well. But we should be, because if we are not, then we will incur losses. And there will be sort of a recession that we are sort of looking at maybe.
02:02
We are a data set provider, by the way. So building Bloomberg, just like Bloomberg is sort of the repository for financial data, we are the repository for climate data on environmental parameters. I'll come on to the data sets that we are working on. We are all global, so we have a global coverage. So all the data sets that we build
02:21
are built using remote sensing, AI, and machine learning. And they have a global coverage. Coming next. So we not only use satellite data, but also IoT sensors, a lot of data from surveys, ground data, government data, all the data that we can gobble up, we gobble up the name of the ingestion platform that we have. It's called Yum Yum, so that it can eat
02:41
every kind of data that we have out there. We have built this data refinery that we have. Like, you know, the oil refinery was the, oil refinery is the thing. We have this climate change problem, and we are building this data refinery. We're just sort of antithesis to that oil refinery thing. We have this aggregation, we aggregate a lot of data. We have built proprietary AI models,
03:02
which use all this data. We have pipelines, and we build environmental insights using them. A whole lot of it is actually built on open source. Oh, damn. Then we have the data sets that we are producing is floods, emissions, extreme heat, wildfires, carbon capture, and ESG ratings. You can read what sort of use cases that we are serving.
03:22
So underwriting risk is very big. Risk models, asset pricing, and asset management is something really big. We have two platforms, one is called Space Time. Space Time is a sort of a, not open source, we are sort of thinking of open sourcing it, but we don't know how. We're a very small team. And this is the platform that we use
03:40
to visualize the data sets that we have. And here you can go to spacetime.blue-sky.hq.io, and then you can see what sort of data sets that we have. You can visualize on various parameters, change colors and everything. There's a lot of fun that you can do. A lot of open data that we build, we open source it, that is it is available on Space Time, publicly, on a macro basis. On a more detailed level,
04:01
you have to sort of purchase it from us. Coming to the next, we have all the data that we have is also available through APIs and through our developer portal, and this is all the details that we have. What is the frequency of everything? I've got it. All right, so I'll come to the testing part. This is the thing that we build. So we start began with the air quality data set
04:20
from India, and now we are working on water quality monitoring, surface water quantification. I think it's very relevant to what's happening in Europe, like all the lakes and rivers drying up, and we can track from satellites on a 15-day frequency what's happening on the ground so that people can better manage. We can't prevent these things from happening, but we can better manage them. And power plant emissions is something really big,
04:42
and this is, we can now monitor emissions and catch the offenders from the satellite. That's truly amazing, actually. And fire protection is something that we are working on as well. Greenhouse fire emissions, that's something. And greenhouse fire emissions, we were part of, we were founding members of Climate Taste. It's a global coalition led by ex-U.S. vice president Al Gore.
05:05
And I think you will switch it off. Can I? Okay, yeah, just closing, just closing. Just last slide. So we are the Climate Taste. We build the, they are building the global inventory for greenhouse gas emissions.
05:21
We were the contributors for the biomass burning part. All the data is open source and CC by four, so you can have a look at there. We are a fairly young company, and still we have won a bunch of awards. We merged our Dutch prime minister in April, I suppose. We're part of AWSA SpaceX later, and we are the Bloomberg new economy catalyst for this year and we are meeting Michael Bloomberg.
05:42
So that's a very fun thing that Bloomberg for environmental data, no relation there. Yeah, that's about it. Thank you. And have a good day. Thank you. Thank you.