45 min

Unlocking the potential of satellite and drone imagery using AI with Ivan Tankoyeu The AI and Digital Transformation Podcast

    • Technology

What does it take to create a successful AI project using satellite and drone images?



Welcome to the AI and Digital Transformation Podcast by G.M.S.C. Consulting.

Join us every month as we sit down with A.I. professionals around the world and discuss successful use cases related to A.I. and its digital transformation applications.

Our guest in this show is Ivan Tankoyeu, AI Solutions Architect and co-founder of AI Superior. 



Who is Ivan Tankoyeu?

Having worked in the industry and the academia for over 10 years, he is now solving practical problems using personalized AI solutions. With AI Superior, they work on machine learning, data science, and software development projects for various industries. 

In this episode, we focused our attention to one of Ivan’s favorite projects - aerial imaging analysis using satellites and drones. 



What did we talk about?

Together with AI, Ivan and his team were able to deal with a wide range of applications. To name a few are trash detection in coastal zones, risk evaluation for residential properties, estimating economic activities in harbors, precision agriculture, and forestry management. 

In this podcast, we explored in great detail the technical aspects of developing these AI projects, as well as its main challenges concerning data collection and labeling. This also meant that we talk about data accuracy, quality assurance, data privacy and GDPR compliance, and flying regulations, to name a few.

Listen NOW to our podcast as we share with you knowledge that you need to consider before working on an AI project that involves satellite and drone imagery. 



Check out our show notes to know more about Ivan and AI Superior.


---

Follow us on our socials:


⁠LinkedIn⁠
⁠Twitter⁠
⁠YouTube⁠

⁠Book an appointment⁠ with us.

---

Music credits: storyblocks.com

Logo credits: ⁠Joshua Coleman, Unsplash




---

Send in a voice message: https://podcasters.spotify.com/pod/show/gmsc-consulting/message

What does it take to create a successful AI project using satellite and drone images?



Welcome to the AI and Digital Transformation Podcast by G.M.S.C. Consulting.

Join us every month as we sit down with A.I. professionals around the world and discuss successful use cases related to A.I. and its digital transformation applications.

Our guest in this show is Ivan Tankoyeu, AI Solutions Architect and co-founder of AI Superior. 



Who is Ivan Tankoyeu?

Having worked in the industry and the academia for over 10 years, he is now solving practical problems using personalized AI solutions. With AI Superior, they work on machine learning, data science, and software development projects for various industries. 

In this episode, we focused our attention to one of Ivan’s favorite projects - aerial imaging analysis using satellites and drones. 



What did we talk about?

Together with AI, Ivan and his team were able to deal with a wide range of applications. To name a few are trash detection in coastal zones, risk evaluation for residential properties, estimating economic activities in harbors, precision agriculture, and forestry management. 

In this podcast, we explored in great detail the technical aspects of developing these AI projects, as well as its main challenges concerning data collection and labeling. This also meant that we talk about data accuracy, quality assurance, data privacy and GDPR compliance, and flying regulations, to name a few.

Listen NOW to our podcast as we share with you knowledge that you need to consider before working on an AI project that involves satellite and drone imagery. 



Check out our show notes to know more about Ivan and AI Superior.


---

Follow us on our socials:


⁠LinkedIn⁠
⁠Twitter⁠
⁠YouTube⁠

⁠Book an appointment⁠ with us.

---

Music credits: storyblocks.com

Logo credits: ⁠Joshua Coleman, Unsplash




---

Send in a voice message: https://podcasters.spotify.com/pod/show/gmsc-consulting/message

45 min

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