Articles in “Market Review”

Geospatial IoT Insights – November 10

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Shivon Zilis and James Cham from Bloomberg Beta have published an updated summary of the competitive landscape for Machine Intelligence. Planet OS is represented as one of the Enterprise Intelligence solutions for sensor data, along with GE Predix, Maana, Alluvium, and others. Over the past year, machine intelligence has exploded, with $5 billion in venture investment. Companies have at their disposal, for the first time, the full set of building blocks to begin embedding machine intelligence in their businesses. These tools deliver productivity gains and means to outrun and outlast the competitors. [Harvard Business Review]

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Mitigating the weather’s impact on trucking. The estimated cost of weather-related delay to the U.S. trucking companies ranges from $2.2 billion to $3.5 billion dollars annually. There are real-world weather information services that will help protect drivers and cargo better on the road going forward. AccuWeather is one service provider putting together just such a package through its AccuWeather Enterprise Solutions forecasting system. Their system offers an average of 24.6 minutes of lead time with a “false alarm” rate of only 11% to warn truck drivers about sudden weather incidents such as roads closed due to flooding, snowstorms, and the like so they can stop or re-route – keeping them safe and their freight moving on time. [FleetOwner]

Geospatial IoT Insights – November 3

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Big data is about to transform renewable energy. Developments in the US and China are eroding Europe’s lead in renewable energy. But if the EU could harness the power of the big data, it could increase outputs from wind energy by 20 percent – without much building. Big data enables new methods of processing vast existing troves of digital information in a way that maximizes efficiency, and this article shows how different wind energy companies are solving it. [Deutsche Welle]

Climate change is causing trouble to weather forecast industry, as using the past to inform the future becomes more challenging. For example when analyzing weather in the far north, meteorologists are relying on data from recent years because climate change is a more recent phenomenon that’s made older data, collected before the Arctic began to warm so quickly, less relevant. [KTOO]

Giant fall in generating costs from offshore wind. Competitive bidding for projects has driven global costs of electricity from offshore wind down 22% to a benchmark estimate of $126 per megawatt-hour in the second half of 2016. As the latest landmark, in September, two offshore wind projects in Danish waters totaling 350 megawatts were awarded to Vattenfall with a record-breaking bid of just 60 euros ($67.33) per MWh. [Bloomberg]

Geospatial IoT Insights – October 27

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The latest edition of the International Energy Agency’s Medium-Term Renewable Market Report now sees renewables growing 13% more between 2015 and 2021 than it did in last year’s forecast, due to strong policy support in key countries and sharp cost reductions. Based on the updated growth forecast, 2.5 wind turbines and 30,000 solar panels will be installed every hour around the world over the next five years. We are expecting this trend to accelerate also the renewable energy data market that is being targeted by Planet OS products. [International Energy Agency]

Energy firms face data challenges in IoT pursuits. An inability to standardize data across systems slows many companies’ progress, says David Mount, a partner with venture capital firm Kleiner Perkins Caufield & Byers. Data aggregation and standardization is where people are getting stuck right now. Organizing data is a time-consuming but necessary step that companies need to perfect before they can take on more advanced IoT projects. [The Wall Street Journal]

As they struggle to keep pace with more frequent outbreaks of severe weather, U.S. forecasters are looking for better ways of incorporating more data into storm and flood predictions. U.S. storm forecasts have been criticized for relatively low resolution compared to European models that are leveraging exascale computing, analytics and storage. In response, NOAA announced $6 million in research grants this week designed to help to field new improved forecasts models, new weather sensors and better methods of assimilating data into weather forecast models. [Datanami]

Geospatial IoT Insights – October 20

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Historical records may underestimate the rising sea level. A new study using NASA satellite data finds that tide gauges — the longest and highest-quality records of historical ocean water levels — may have underestimated the amount of global average sea level rise that occurred during the 20th century. [NASA]

The here and now of big geospatial data. Another brain-stimulating overview of recent real-world examples of using geospatial data. Logistics, fraud data, retail, finance, shipping, advertising – and the list continues. The article also lists specialized geospatial databases which is something one needs in order to manage and access geospatial big data. [Datanami]

McKinsey has released an extensive report on the monetization of car data. Abundance of sensors and continuous connectivity is almost a standard for new cars today, and this will create new market opportunities. McKinsey claims that the global revenue from car data monetization could reach $750 billion by 2030. The 61-page report sheds light on how industry players can quickly build and test car data-driven products and services and develop new business models around them. It also identifies and assesses the value and requirements of potential car data-enabled use cases.  [McKinsey]

Geospatial IoT Insights – October 13

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On the note of climate change, we recently witnessed the world passing 400 PPM threshold in the scale of atmospheric carbon dioxide. This week, Weekly Mean Carbon Dioxide Measured At Mauna Loa Observatory, Hawaii was made freely available in Planet OS Datahub. It’s one of the key datasets helping to measure the state of atmospheric carbon dioxide that can now be easily used in different monitoring application, data analytics project, and elsewhere. [Climate Central]

Why we need a data infrastructure? The UK based Open Data Institute marvelously summarizes its data revolution narrative. Data is an infrastructure which, engineered correctly, can generate extraordinary amounts of economic and social value. Projects, such as open access monitoring of water provision quality to soil analysis to improve farming practices for better food security, are vital in accelerating development – and these are just the start. A great, inspiring story to everyone working with open data. [ComputerWeekly.com]

Jed Sundwall of AWS recommended a good article – Earth Observation and Big Data: creatively collecting, processing and applying global information. Remotely sensed imagery, combined with location data collected locally or via connected devices, exponentially compounds the ways to analyze spatially. To help Earth observation at Big Data scales, teams outside GIS and remote sensing are increasingly rising to the challenge to understand data sources, management and processing. The article explains the problems and solutions for each. [Earth Imaging Journal]

Geospatial IoT Insights – October 6

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The industrial IoT has already proven its versatility with deployments going live in a number of enterprises, showing off dozens of different use cases. But a few key uses consistently present themselves within the same trade, and even throughout different industries. Industrial IoT 5G has listed the Top 5 industrial IoT use cases which have a more recurring nature, compared to others. The highest ranking use case is predictive maintenance, and our experiences with Powerboard can only support this conclusion. [Industrial IoT 5G]

IBM is pushing its Watson IoT platform and we saw many stories covering it last week. Here’s one of them: Aerialtronics’ commercial drones are the first to leverage the IBM Watson IoT Platform and the Visual Recognition APIs to analyze images and identify specific areas of concern such as loose or frayed cabling and damaged equipment. [Sensors & Systems]

Tackling climate change was in the focus of SXSL at the White House last week. The search for viable solutions is heating up and we at Planet OS firmly believe software and data have a key role in identifying and solving the key pain points of the climate change. The climate change discussion at SXSL can be summarized by President Obama’s quote during the main panel: “We’re seeing climate changes at the more pessimistic end of the range that was anticipated by scientists. So we’re really in a race against time”. [Techcrunch]

Geospatial IoT Insights – September 28

Euroconsult published its forecast for satellite-based Earth Observation market growth through 2025. The commercial data market totaled $1.7 billion in 2015 and is anticipated to total $3 billion in 2025. The value-added services market reached $3.2 billion in 2015, and is growing at a faster rate than the data market alone (11% 5-year CAGR). Notably, the commercial data and value added services key markets are not overlapping. Defense represents 61% of the commercial data market, followed by maritime, infrastructure, and resources monitoring sectors. In these fields, most of the analytics is performed in-house. On the other hand, value added services market relies often on lower-cost, coarser resolution data. [GISuser]

What’s the Difference Between Consumer and Industrial IoT? A simple question, but not so easy to answer. Electronic Design has published a much needed comparison of different types of IoT, explaining where exactly the line is between Consumer IoT, Commercial IoT, and Industrial IoT. [Electronic Design]

A useful source worth looking at when you are planning to get started with your first IoT project: the Linux Foundation has listed 21 open source projects for IoT. [The Linux Foundation].

Geospatial IoT Insights – September 21

Industrial IoT will score over consumer IoT. While until 2014, consumer-focused IoT solutions garnered a slightly higher share of total IoT investments, industrial IoT solutions attracted over 75% of funding in 2015 as compared to consumer IoT companies. This trend is expected to continue in 2016 by a larger order of magnitude—2-3 times more than consumer IoT. [Livemint]

NOAA has released its final Ocean Noise Strategy Roadmap, which will guide the agency in more effectively and comprehensively managing ocean noise effects on marine life during the next decade. This will create a demand for ocean noise related applications. To understand the importance of ocean noise, it’s good to read an interview we made with Dr. Christopher W. Clark when he joined us some years ago. [NOAA]

There is a continuous effort to improve climate models, and the researchers have now discovered how to make global weather and climate models to better capture the effect of clouds on climate. It’s just one example how data products can be improved by adding new data sources. Which again is one of the goals we are hoping to reach with Planet OS Datahub while making all environmental data easily findable and accessible via single, consistent API. [Earth & Space Science News]

Geospatial IoT Insights – September 14

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In the wake of installing first U.S. offshore wind turbines, the White House has unveiled a national strategic plan that paves the way for construction of 86 GW of offshore wind by 2050. To put this into a context, as of June 2016 the global grid-connected offshore wind energy capacity was approximately 13 GW, as we concluded in the Planet OS offshore wind energy 2016 market report. [reNEWS]

The World Bank has released a new study on air quality, The Cost of Air Pollution: Strengthening the economic case for action. It comes with a huge infographic that emphasizes the risks and consequences of polluted air. Understanding what is happening with the air quality in different locations is essential to any human activity and so a few days ago we made air quality data also available via Planet OS API. [World Bank]

Our team at Planet OS has been building geospatial data software since 2012 and it has been quite a challenge as geospatial data is very diverse. However, if you’re passionate enough and have the skills, you can build your own geospatial data solution. You will still need the infrastructure. Geospatial World recently released a helpful overview on how to use Amazon Web Services for Geospatial. We can definitely recommend it since we’re long time customers of AWS. [Geospatial World]

Geospatial IoT Insights – September 8

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New high-resolution elevation data available for Alaska. The White House, the National Science Foundation, and the National Geospatial-Intelligence Agency have released the most accurate digital elevation maps of Alaska ever created. The new maps have a horizontal resolution of about 7 to 17 feet, versus more than a hundred feet for previously existing topographical maps. The data is available here. High-resolution elevation data for the rest of the Arctic will follow next year. [National Geographic]

The IoT growth estimates aren’t very useful. Regardless, if it’s 10 or 50 billion things connected to the internet by 2020, it’s clear that new market and new products will emerge to tackle the related challenges. However, this new survey tells us what benefits business leaders are expecting from IoT. Remarkably, the top expectation Cost savings from operational efficiencies matches with the results Planet OS Powerboard is already providing to its first customers. [Forbes]