If you ever have the opportunity to fly over the large swath land separating Barstow from Las Vegas, I encourage you to look down at the panels winking back up at you. Similarly, if you ever get the chance to drive from California’s Central Valley to San Francisco, I encourage you to look up at the evolved version of Quijote’s fixation scattered across the foothills.
Pyeongchang was a great Winter games host as it possesses ideal conditions for artificial snowmaking. But with global climate getting warmer, people are starting to wonder whether cities looking to make bids will be deterred, if they don’t have the ideal conditions for natural snow and artificial snowmaking.
Our society has become increasingly concerned with its impact on the environment, but how we contend with the effects of a changing climate is a complex and altogether scary question. As we explore and understand this situation, it’s likely that any solution to combat climate change will have a larger effect on us all.
About one month ago, Southern Australia experienced an extreme heat wave that melted pavement, boiled bats, and exacerbated the fire potential of an already dried out landscape. Rather than being an anomaly, this degree of heat wave may be closer to what, in the future, we view as the norm.
In the light of the ongoing heat wave in South Australia, we checked if the past 100 years reveal any significant changes in the local climate. For the analysis we used the Planet OS API and data from the Australian Bureau of Meteorology.
The GDPR, the European Union’s General Data Protection Regulation, goes into effect May 25, 2018 and will have a worldwide impact. The GDPR applies to organizations that have personal data relating to citizens of the EU, including many companies in the US.
Hardware-based security is very difficult to break but, once broken, catastrophically difficult to fix. Software-based security is easier to break but also much easier to fix. Now what?
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.