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Susan Smith
Susan Smith
Susan Smith has worked as an editor and writer in the technology industry for over 16 years. As an editor she has been responsible for the launch of a number of technology trade publications, both in print and online. Currently, Susan is the Editor of GISCafe and AECCafe, as well as those sites’ … More »

GISCafe Voice Newsmix

 
September 6th, 2018 by Susan Smith

News this week takes a look at satellite imagery and machine learning for agricultural intelligence products, Dronecode platform-based products, traffic management using intelligent analytic rerouting, artificial intelligence and analytics, and AI and machine learning.

Google Driverless Car

The first two partnerships feature insights from the sky to earth. Herndon, Virginia-based Radiant Solutions, a Maxar Technologies company (formerly MacDonald, Dettwiler and Associates Ltd.), and TellusLabs, a satellite imagery and machine learning company, announced a partnership to offer agricultural intelligence products to provide insight on the world’s food supply, for the remainder of the Northern Hemisphere’s 2018 agricultural growing season and into the start of the Southern Hemisphere’s growing season. Those stakeholders such as food companies, government agencies and commodity traders who need a better understanding of the world’s current crop conditions and end of season expectations will benefit from this alliance.

Radiant Solutions’ Weather Desk™, an information platform enabled by advanced analytics applied to weather data, provides daily agricultural insights into how weather conditions are impacting agricultural markets. TellusLabs’ Kernel, enabled by machine learning applied to satellite imagery, provides insights into crop yields and agricultural forecasting. The offerings combine to deliver users an information to help them leverage the power of advanced analytics applied to persistent and pervasive weather and imagery data to derive insights into the agricultural supply chain dynamically and at a global scale.

3DR and Yuneec, two founding members of the Dronecode Software Consortium, announced a U.S.-headquartered joint venture to bring Dronecode platform-based products to market. The joint venture, which will operate as 3DR Government Services, will focus on serving the security and open platform needs of U.S. government customers and their vendors in the construction and engineering industries.

3DR Government Services will combine Yuneec’s hardware expertise and manufacturing scale with 3DR’s software. The first product from 3DR Government Services is the Yuneec 3DR H520-G, which is being unveiled at the InterDrone Conference in Las Vegas this week.

From traffic in the sky to traffic on earth, the following research study and enterprise data platform provider focus on AI and analytics and in the last case, takes into account blockchain technology.

ABI Research, a market-foresight advisory firm providing strategic guidance of transformative technologies, announced this week the transformative technologies evolving in the traffic management industry. Moving away from legacy monitoring solutions based on embedded road sensors and centralized, manually operated control centers, traffic management is transitioning to closed loop systems leveraging real-time, hyper-granular traffic data crowdsourcing and allowing active response management. These transformative technologies and business models will create shifts in the types of traffic management revenues but will continue to drive growth rates of around 10% to generate over US$6 billion by 2023, according to a new report from ABI Research.

“The traffic management industry is moving from passive monitoring and traffic information dissemination to active, intelligent rerouting to maintain traffic flows,” says Dominique Bonte, Vice President End Markets at ABI Research. “(Semi-) automated response management to incidents is accomplished through adaptive digital signage, road section closures, alternative routing, and seamless integration with backup public transport.  Suppliers like Kapsch, Siemens, and PTV Group (Porsche SE) are among the leading actors in this transforming landscape.”

Predictive traffic data and advanced AI-based analytics allow adopting preventive measures to avoid or at least reduce the worse instances of foreseeable congestion. Instruments like HOV lanes, intelligent traffic lights, congestion zones, and dynamic Road User Charging (RUC) allow either prioritizing or influencing traffic levels. Traffic data is also used for long-term urban planning and design.

The report suggests that the inherent limitations of traffic management solutions as a result of their incremental and reactive nature can only be offset through long-term structural solutions offered by human activity, that range from car sharing to smart parking and future driverless mobility.

These findings are from ABI Research’s Intelligent Transportation Systems Market Forecast report. This report is part of the company’s Intelligent Transportation and eFreight research service, which includes research, data, and Executive Foresights.

MapR® Technologies, Inc., a data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. The company announced its executives will present at Strata Data Conference, held at Javits Center in New York, NY, September 11-13. At this event, the company will showcase the MapR Data Platform that advances to speed the operational impact of automated analytics, improve the productivity of developers and data scientists, lower TCO, and streamline security and storage across on-premises data centers, clouds and edge deployments.

Several events will take place. Ted Dunning, chief application architect at MapR will kick off the event with his keynote on “The Answer to Life, the Universe, and Everyting: But Can you Get That Into Production?”

Jim Scott, director of enterprise strategy and architecture at MapR, will present, “Data Operations Problems Created by Deep Learning and How to Fix Them.” In this session, Jim will discuss the major impediments to successful completion of deep learning projects and how to solve them.

Jim Scott will present “Using the Blockchain in the Enterprise.” During his presentation, Jim details relevant use cases for blockchain-based solutions from the automotive, healthcare and human resources, and finance industries, focusing on a suggested architecture to achieve high-transaction-rate private blockchains and decentralized applications backed by a blockchain.

Paul Curtis, principal solutions engineer at MapR, will present “Clouds and Containers: Case Studies for Big Data.” In this session, Paul will explore how customers use different approaches to build their big data environments – using the same common requirements: reliable, scalable storage and flexibility.

Ted Dunning, chief application architect at MapR, will discuss the core issues with stateful containerized applications that currently occur in all major orchestration systems, including Mesos, Yarn and Kubernetes. In his session, “Progress for Big Data in Kubernetes,” attendees will learn how these problems can be dealt with using new capabilities of Kubernetes.

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Categories: agriculture, air pollution, analytics, autonomous vehicles, Big Data, Bitcoin, Blockchain technology, cloud, cloud network analytics, data, drones, geospatial, GIS, Google, government, GPS, handhelds, Leica Geosystems, location based services, location intelligence, mobile, remote sensing, resilient cities, sensors

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