Technology will include TensorFlow, HDF 2.0, Phoenix, Python, Zeppelin
Unmanned Aerial Systems – the next Big Data battleground
The Unmanned Aerial Systems market is anticipated to grow several fold over the next five years – in the process generating significant volumes of data as they conduct everything from infrastructure and crop inspections to package and food deliveries. Big Data is likely to emerge as an ideal technology processing and storage platform. Join us as we discuss the ramifications of UAS growth on Big Data.
Commercialization of Unmanned Aerial Systems (UAS) has been accelerating throughout the world. In China the first mail delivery by UAS route has been established. In Africa UAS are being used for everything from medicine and blood deliveries to conservation monitoring efforts. In Europe, where regulations are more UAS friendly, corporations have been merging UAS in to their operations since 2014. While slow to “take off” in the United States, the recent passing of the Code of Federal Regulations (CFR) 14, part 107 by the FAA in August of 2016 was a significant milestone to UAS commercialization within the US. With the expected passage of beyond visual line of sight (BVLOS) and flights over bystanders, the climate in the US is anticipated to explode with both startups and in corporate America.There are many applications that can benefit from the use of UAS today ranging from precision agriculture to mining to infrastructure inspection, disaster relief, law enforcement, 3D-mapping, wildlife protection and telematics – just to name a few. Each of these specific applications brings significant Internet of Things (IoT), streaming complex event processing (CEP) and workflow opportunities. At the same time, there are challenges too. Aside from the obvious federal airspace issues, the current breed of small UAS (the ones typically being experimented with by corporate America) tend to be islands of technology – requiring physical post flight connectivity to offload their data. As such, this limits both the amount of data they can generate at any one time, as well as eliminating opportunities to process the data while in motion. Alternatively, systems that don’t have these restrictions typically connect to proprietary services. Thus providing few options beyond what the vendor offers. In all likelihood the next generation of UAS will incorporate fixed-wing/multi-rotor hybrid designs, have constant 3G/4G connectivity, MQTT messaging and the promise of longer flight durations. These changes will usher in near-real-time data processing requirements and the need for cheap/fast data storage… and this is where Big Data can play a role.In this session we will discuss the next generation of UAS and how the future of UAS is inexorably linked to Big Data. In this session you will discover which technologies you should be investing and at what rate. Of course this future is not certain. With any emerging technology there are tangible risks. Consequently, we will discuss the technical and legal limitations in the shared manned/unmanned airspace. We will also discuss which technology opportunities are unlikely to prevail and which could be rejected given the risk adverse nature of the FAA. Finally, to help foster better corporate decision-making, we will highlight the political and administrative issues afoot that could delay UAS growth in corporate America.
Ken will run a modified version of his Hadoop Summit talk, http://www.slideshare.net/HadoopSummit/im-being-followed-by-drones
Mr. Kranz is a senior Big Data Architect involved in business development, technology evangelism, and solution architecture in the UAS, Banking, and Healthcare sectors. Mr. Kranz is spearheading the emerging UAS market vertical at Cognizant with respect to IoT. Additionally, he is responsible for delivering solutions, best practices, design pattern, and various white papers. Mr. Kranz is an established author, public speaker, patent developer, and a private pilot. He has over 20+ years of experience with fixed wing remote controlled aircraft and, more recently, quadcoptor operations.