AI & ML Can Open Up Space For Drones To Demonstrate Full Potential

The demand for drones in the market has seen an incredible upsurge lately. As a matter of fact, the convenience of remote monitoring and its flexibility in harsh terrains has considerably increased the popularity of drone technology across segments like eCommerce, agriculture, warfare, to name a few, which was unthinkable a decade ago.

According to data, the current global market size of drone technology is about $14 billion and is expected to grow to $43 billion by the year 2024. The major chunk of this growth can be attributed to its significant usage in commercial deliveries. Currently, there are several drones start-up companies in India, which focus on the development, manufacturing, providing analytics platform for drone solutions. Some prominent names include Bangalore-based EDALL SYSTEMS and Skylark Drones and Delhi-based Atom Drones.

Having said that, while drones have seen a significant market boost, it comes with safety, security and privacy concerns, where it has been constantly scrutinised to be deployed for exploiting their security and privacy of individuals. Further, there were also cases where criminals, drug cartels and terrorists have used drones. To dig more in-depth on the drone technology and the involvement of artificial intelligence to enhance drone solutions, Analytics India Magazine spoke to Karthik Shankaran, the Chief Innovation Officer of Detroit Engineered Products (DEP).

To set the context — DEP is a product development house where customers focus strictly on drone development. While other companies work on the development and manufacturing of drones, DEP offers drone development as-a-service and solution offering, making it preferable for collaboration in solution development. With DEP, customers can get their product/solutions developed during any stage of drone development — from the conceptual phase to prototype and production. The company has the expertise and experience in the development of both rotor drones (Quadcopter) as well as fixed-wing drones.

Also Read: Leveraging Computer Vision In Drone Tech


#people #agricultural drones #ai drones #drones #drones in india #ai

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AI & ML Can Open Up Space For Drones To Demonstrate Full Potential

AI & ML Can Open Up Space For Drones To Demonstrate Full Potential

The demand for drones in the market has seen an incredible upsurge lately. As a matter of fact, the convenience of remote monitoring and its flexibility in harsh terrains has considerably increased the popularity of drone technology across segments like eCommerce, agriculture, warfare, to name a few, which was unthinkable a decade ago.

According to data, the current global market size of drone technology is about $14 billion and is expected to grow to $43 billion by the year 2024. The major chunk of this growth can be attributed to its significant usage in commercial deliveries. Currently, there are several drones start-up companies in India, which focus on the development, manufacturing, providing analytics platform for drone solutions. Some prominent names include Bangalore-based EDALL SYSTEMS and Skylark Drones and Delhi-based Atom Drones.

Having said that, while drones have seen a significant market boost, it comes with safety, security and privacy concerns, where it has been constantly scrutinised to be deployed for exploiting their security and privacy of individuals. Further, there were also cases where criminals, drug cartels and terrorists have used drones. To dig more in-depth on the drone technology and the involvement of artificial intelligence to enhance drone solutions, Analytics India Magazine spoke to Karthik Shankaran, the Chief Innovation Officer of Detroit Engineered Products (DEP).

To set the context — DEP is a product development house where customers focus strictly on drone development. While other companies work on the development and manufacturing of drones, DEP offers drone development as-a-service and solution offering, making it preferable for collaboration in solution development. With DEP, customers can get their product/solutions developed during any stage of drone development — from the conceptual phase to prototype and production. The company has the expertise and experience in the development of both rotor drones (Quadcopter) as well as fixed-wing drones.

Also Read: Leveraging Computer Vision In Drone Tech


#people #agricultural drones #ai drones #drones #drones in india #ai

George  Koelpin

George Koelpin

1602255900

Amsterdam And Helsinki Launch Open AI Registers

Amsterdam and Helsinki both launched an Open AI Register at the Next Generation Internet Summit. According to sources, these two cities are the first in the world that are aiming to be open and transparent about the use of algorithms and AI in the cities.

Currently, in the beta version, Algorithm Register is an overview of the artificial intelligence systems and algorithms used by the City of Amsterdam. The register is an effort to show where the cities are currently making use of AI and how the algorithms work.

Jan Vapaavuori, Mayor of Helsinki stated, “Helsinki aims to be the city in the world that best capitalises on digitalisation. Digitalisation is strongly associated with the utilisation of artificial intelligence. With the help of artificial intelligence, we can give people in the city better services available anywhere and at any time. In the front rank with the City of Amsterdam, we are proud to tell everyone openly what we use Artificial Intelligence for.”

#news #ai register #amsterdam ai #helsinki ai #open ai register #ai

Hertha  Walsh

Hertha Walsh

1602709200

Learning AI/ML: The Hard Way

The Wave and the Curve

Data science, Artificial Intelligence (AI), and Machine Learning (ML), since last five to six years these phrases have made their places in Gartner’s hype cycle curve. Gradually they have crossed the peak and moving toward the plateau. The curve also has few related terms such as Deep Neural Network, Cognitive AutoML etc. This shows that, there is an emerging technology trend around AI/ML which is going to prevail over the software industry during the coming years. Few of their predecessors such as Business Intelligence, Data Mining and Data Warehousing were there even before these years.

Finding the Crystal Ball in the Jungle

Prediction and forecasting being my favorite topics, I started finding a way to get into this world of data and algorithms back in early 2019. Another driving force for me to learn AI/ML was my fascination on neural networks that was haunting me since I started learning about computer science. I collected few books, learned some python skills to dive into the crystal ball.

While I was going through the online articles, videos and books, I discovered lots of readily available tools, libraries and APIs for AI/ML. It was like someone who is trying to learn cycling and given a car to drive. Due to my interest in neural networks, I got attracted to most the most interesting sub-set of AI/ML, Deep Learning, which deals with deep neural networks. I couldn’t stop myself from directly jumping into Google Tensorflow (a free Google ML tool) and got overwhelmed by a huge collection of its APIs. I could follow the documentation, write code and even made it work. But there was a problem, I was unable understand why I am doing what I am doing. I was completely drowning with the terms like bios, variance, parameters, feature selection, feature scaling, drop out etc. That’s when I took a break, rewind and learn about the internals of AI/ML rather than just using the APIs and Libs blindly. So, I took the hard way.

On one side, I was allured by the readily available smart AI/ML tools and on the other side, my fascination on neural networks was attracting me to learn it from scratch. Meanwhile, I have spent around a month or two just looking for a path to enter the subject. A huge pool of internet resources made me thoroughly confused in identifying the doorway to the heart of puzzle. I realized, why it is a hard nut for people to learn. Janakiram MSV pointed out the reasons correctly in his article.

However, some were very useful, such as an Introduction to Machine Learning by Prof. Grimson from MIT OpenCourseWare. Though its little long but helpful.

#machine learning #ai #artificial intelligence (ai) #ml #ai guide #ai roadmap

Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

AI & ML Can Open Up Space For Drones To Demonstrate Full Potential

The demand for drones in the market has seen an incredible upsurge lately. As a matter of fact, the convenience of remote monitoring and its flexibility in harsh terrains has considerably increased the popularity of drone technology across segments like eCommerce, agriculture, warfare, to name a few, which was unthinkable a decade ago.

Read more: https://analyticsindiamag.com/ai-ml-can-open-up-space-for-drones-to-demonstrate-full-potential-karthik-shankaran-cio-dep/

#artificial-intelligence #machine-learning