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Technology Trends In The Geospatial 
Industry 
Dami Sonoiki
Introduction 
• Technology is important! 
• Buzzwords
Cloud Computing 
Infrastructure As A Service (IAAS) 
Platform As A Service (PAAS) 
Software As A Service (SAAS) 
Data As A Service (DAAS)
Crowdsourcing
Crowdsourcing 
Platforms: 
• Open Street Maps (OSM) 
• Ushahidi 
@osmthis Mr. Bigg's (fast food) 12.007528,8.539526 
OSMThis 
Another Example: 
https://www.fixmystreet.com/
Mobile Mapping 
• Aerial Photography, LiDAR 
• Drones (UAVs, ) 
• Bhutan tests drones for carrying medical 
supplies 
• Google’s home delivery drone program - Project Wing 
• Amazon PrimeAir
Social Data 
• Social media data in computer-readable format 
• User-generated 
Examples 
• Flickr, Twitter, Facebook, Linkedin 
http://ebolatracking.org/ 
http://ny.spatial.ly/
Big Data 
Data is the new soil - David McCandless 
• 90% of data today was generated in the past 4 years 
• Data Collected from diverse sources 
• Structured and unstructured 
McLaren’s Formula Racing Team 
Key Drivers
What Are Your 
Buzz Words!

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Kano GIS Day 2014 - Trends in gis industry

  • 1. Technology Trends In The Geospatial Industry Dami Sonoiki
  • 2. Introduction • Technology is important! • Buzzwords
  • 3.
  • 4. Cloud Computing Infrastructure As A Service (IAAS) Platform As A Service (PAAS) Software As A Service (SAAS) Data As A Service (DAAS)
  • 6. Crowdsourcing Platforms: • Open Street Maps (OSM) • Ushahidi @osmthis Mr. Bigg's (fast food) 12.007528,8.539526 OSMThis Another Example: https://www.fixmystreet.com/
  • 7. Mobile Mapping • Aerial Photography, LiDAR • Drones (UAVs, ) • Bhutan tests drones for carrying medical supplies • Google’s home delivery drone program - Project Wing • Amazon PrimeAir
  • 8. Social Data • Social media data in computer-readable format • User-generated Examples • Flickr, Twitter, Facebook, Linkedin http://ebolatracking.org/ http://ny.spatial.ly/
  • 9.
  • 10. Big Data Data is the new soil - David McCandless • 90% of data today was generated in the past 4 years • Data Collected from diverse sources • Structured and unstructured McLaren’s Formula Racing Team Key Drivers
  • 11.
  • 12.
  • 13. What Are Your Buzz Words!

Editor's Notes

  1. From the 3 previous presentations we have seen today, they have shown us the power of GIS for making decisions and improving business operations. But there is one thing that is common to the solutions that have been discussed today. This will also be seen in presentations to be discussed later in this event. This is TECHNOLOGY Technology has played a very important role in the GIS industry. Looking back at some of the history and maps that my colleague showed earlier in the morning, and the presentations of mobile technology and geostatistical analysis. We notice that all over the world, and across history, the principles of GIS remain the same and never change. The one thing that has changed is technology. So today I will be ignoring the “I” (information) part of IT and focus on some technologies behind GIS. However, I thought it might be boring for you to sit you here and talk you through technologies that you already know about, because we do know and interact with these technologies every day. I will instead talk through some of the buzzwords in the technology field that affect our world and profession every day.
  2. Let me first take us through the technology that has changed and influenced how we do everything in the geospatial industry.
  3. Everything we saw in the previous diagram is a combination of the technologies like IAAS which is the actual hosting PAAS which is the platform for building the software and capabilities SAAS and DAAS which are platforms where what we build is being shared And we interact with these everyday – for example the Gmail we all use is powered by cloud computing technology. ArcGIS online which is changing the GIS industry today is powered by the Cloud computing technology
  4. How about this one – This is another technology that takes very good advantage of the cloud technology we just discussed. Crowdsourcing helps us work smarter With this technology, we source information from various parts of the world. This enabling user-generated content. An example is Wikipedia which we all use everyday
  5. In our industry, the biggest mapping platform with one of the largest topographic data of different countries in the world (Which is Open Street Map) is user-generated I will show us an example of the application of this – OSMThis OSMThis makes it possible to map with twitter. In this example tweet I am sending the name of the place, the kind of restaurant (fast food) and the street it is (as it wasn't in the map yet). The note is reviewed and once it is approved, it gets on the map. Another example is an app which I have used a lot when I was in the UK – Fix My Street.
  6. Mobile mapping is powered by mobile devices. It uses these devices to collect geospatial data using aerial photographic technology. In this space, we have technologies like UAVs, LiDAR, Aerial Photography Drones are either controlled by pilots or autonomously controlled. Drones have been commonly associated with military and surveilance But let’s look at other applications in health and logistics Bhutan - Matternet, a Silicon Valley startup used drones for remote diagnosis medicare We can see how this technology influences our field and in turn we then influence other industries with this technology
  7. Expresses social media in a computer-readable format It harnesses and aggregates user-generated social media content where users communicate with themselves. Social data has influenced the Geospatial world by looking at the location content in these platforms. This has influenced how we do our research, marketing and even how we live our lives.
  8. According to Wikipedia, Big Data consists of data sets that are so big that they cannot be handled efficiently by common database management systems. These data sets can range from tera to petabytes and beyond. In modern interconnected digital world, there are enormous real-time data streams from various sources, located in different servers. Mobile phones, credit cards, RFID devices, chatter on social networks, all create data streams which we may consider as ephemeral but which reside for years in unknown servers
  9. Uses big data to identify issues with its cars and takes corrective proactive actions before it’s too late. The cars have over 130 sensors They use GPS data to determine the best direction or the best way to negotiate a bend. The sensors generate gigabytes of data which are analysed in real time to make these decisions – They eventually save cost with this
  10. We have just seen examples of the different technologies that we