Using data from the NCEP Climate Forecast System Reanalysis (CFSR) and ERA5 datasets we investigate historical snow depth and air temperature in South Korea to assess the likelihood of favorable conditions for the Olympic athletes.
2018 will be a big year for IoT. By some estimates 2.8 billion new devices will come online, enabling a variety of new scenarios that were science fiction just a decade ago. Connected medical devices, watches, home automation devices, smart cities, connected cars and industrial equipment are all changing the way we interact with each other and our environment, in both our personal and business lives.
Intertrust is honored that our CTO Dave Maher was selected to present at the recent HICSS (Hawaii International Conference on System Sciences) event held in Hawaii. Now in its 51st year, HICSS is an important and prestigious scientific event where professionals from around the world gather to discuss recent research in the worlds of computing systems.
Nearly every sector of every industry has been reshaped by big data. Fundamentally, this shift has brought about an attitude that data is to be treated as a proprietary asset as most companies consider data points…
We took a closer look at the snow conditions during the last holiday season to find out which areas had white Christmas. For the analysis we used a high-quality snow cover dataset and the Planet OS API.
Less than two months after the most destructive wildfire in the history of California the state is fighting yet another massive blaze in Ventura and Santa Barbara Counties. October’s fire in Northern California burned over 200,000 acres, destroyed nearly 6,000 structures, and claimed the lives of at least 42 people. The ongoing Thomas Fire north of Los Angeles has already burned across 270,000 acres and is causing hazardous air pollution in the region.
Computer and information security is one of the biggest problems that businesses face today. According to a recent SANS Institute study, organizations spend as much as 12 percent of their IT budget on security.
This time we jumped across the Atlantic to explore precipitation conditions in South-West Kenya, its main agricultural area, using the Planet OS Datahub and API.
Hackers go about achieving their goals with reverse engineering software to find vulnerabilities they can exploit, data they can extract, or ways to modify the software to do something it was never intended to do. The primary consequences of applications getting hacked include financial loss, destroyed brand reputation, exposure to liability, and regulatory risk.
The importance of high-resolution regional data: investigating historical rainfall trends in the state of Wyoming using NOAA’s URD precipitation dataset and the Planet OS Datahub API.
Insurance companies, farmers and development agencies need highly accurate information to identify climate trends in specific areas. In this post I use the Planet OS API to explore over thirty years of historical precipitation in Palo Alto, California.
In the midst of a continuous drumbeat of press stories on IoT cybersecurity vulnerabilities, a bill that surfaced in the U.S. Senate calling for IoT manufacturers to follow certain cybersecurity procedures gained a lot of attention. If it does pass, it could bring about some major changes to IoT device security, particularly in the way these devices are provisioned with certificates.
Unexpected extreme weather events have become the new normal, and businesses are seeking opportunities to better predict and assess external risk. This week we added the HIRLAM operational weather prediction model to Planet OS Datahub…
We are excited to share that we have just added five WAM Wave Model datasets to Planet OS Datahub. From local wind-induced waves to swell waves originating from distant weather systems, wave models provide critical information about our seas and oceans…
As security breaches are increasing in size and type, newer security technologies are being designed to protect against the breaches. Cryptography is at the core of these security technologies.
A fundamental objective of cryptography is to secure communications between two parties, so that only the communicating parties can read and process the communicated messages. This objective is a natural requirement of human society; the study of securing communications (cryptography) goes back at least 4,000 years.
Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem: predictive inference. It makes an inference from “feature” space to “outcome/target” space. In order to work properly, an ML algorithm has to discover and model hidden relationships between the feature space and the outcome space and create links between the two. Doing so requires overcoming barriers such as feature noise (randomness of features due to unexplained mechanisms).
This report covers video on demand, OTT, TV Everywhere and Global markets including China, India, United Kingdom and Germany. The number of devices and wireless connections is creating a shift, opening up markets such as China and India for U.S. exporters, where the M&E industry is outpacing the overall economy.
Targeted video advertising is the “holy grail” for businesses and enterprises taking advantage of mobile platform. However, not all data collection is the same. This white paper covers digital ad spend, video advertising, and addressable media topics.
Florian Kolb, who heads up Silicon Valley operations for Intertrust’s partner innogy, was invited to speak at the Edison Electric Institutes’ second annual International Utility Executive Summit held on April 5th, 2017 in Washington D.C. At the event, Kolb spoke about how the Digital Age is driving the need for utilities to innovate in customer experiences.
For IoT security to be successful, there needs to be an effective way to reason about how humanity can trust the security, safety, and privacy of this massive transformation of the world. Most importantly, “ordinary people,” whether they are consumers or workers, must be able to safely, reliably, and intuitively interact with vast, complex, interconnected systems of IoT devices. It can be overwhelming to think about all the ways individuals and society can be damaged by the haphazard engineering of systems that merge the physical and digital worlds.
In the second issue of Planet OS Visionary Series we discuss the transforming energy industry with David Hostert, the Head Of Wind Energy Research at Bloomberg New Energy Finance. With more than a decade of experience in the industry, David was glad to answer our questions about the present and the future of smarter energy.
Also known as The Lion City, The Garden City and the Little Red Dot, Singapore is famous for its significant achievements in innovation, favorable tax system, recognized universities and great life quality. However, Singapore also ranks at the very top of the world’s most densely populated independent territories right after Macau and Monaco. And with insignificant amount of natural resources of its own, the country needs a strong, forward-thinking take on energy and innovation in order to power its fast-growing community.
In a previous post, I’ve used Python Data Tools to fetch and visualize weather data using Datahub API (sign up for a free API key to try it). Today I’m going to solve another simple use-case using few other Python-based tools and the very same data and API. One of the heavily-influenced weather-dependent industries is Renewable Energy…
At the close of the summer of 2016, there was no more perfect metaphor for user acquisition than the mobile game Pokémon Go by Nintendo. Users and their devices spent hours, if not whole days, hunting and collecting Pokémon. If you are still unfamiliar with Pokémon Go, well…welcome back from your lengthy sojourn in…
Here’s a demonstration how to get from raw data to animated weather maps and graphs with just a few simple commands. Starting from the raw data means that you are not limited to just creating weather forecasts, but you can run your own dedicated analysis or models on top of the data.