Article: Ushering Smart Cities to the Next Level

Cities, Innovation, Open Space

Ushering Smart Cities to the Next Level

Globally cities are accelerating their efforts to harness technology convergence for smart solutions to automate decision-making and scale urban experience to the next level. As a part of their transformational journeys, cities are strengthening their geospatial infrastructure to unleash the power of spatial analytics, the Internet of Things (IoT), big data, and artificial intelligence (AI) to improve the quality of life for their citizens and strengthen resilience.

Launched in 2015, the first phase of Smart Cities Mission (SCM) set the ball rolling for a new chapter in the Indian urban scenario. With an objective of providing core infrastructure, good quality of life and a clean, sustainable environment through ‘Smart’ solutions and services, 100 cities across the country launched citizen-centric programs to address their local challenges.

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Article: Geospatial and AI are able to asses disaster damage sooner

Geospatial, Open Data

Geospatial and AI are able to asses disaster damage sooner

It wasn’t long ago when people could only dream of AI and geospatial technology, yet it’s here. On top of that, it can do more than folks could have imagined. This technology could also reinvent disaster relief efforts.

Disasters happen all the time, and this reality makes it impossible to deny the need to address them faster. People have gotten good at predicting potential natural disasters, but dealing with the aftermath is another story. What is worse is that disasters seem to be happening more frequently. Fires, hurricanes, earthquakes, and other things keep hitting different parts of the country. Climate change could be to blame for the rise in disasters, and hopefully, that is addressed, but the pressing matter is the disasters. These affect families in unimaginable ways.

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Article: This AI Can Generate Convincing Text—and Anyone Can Use It

Code, Open Software, Open Source

This AI Can Generate Convincing Text—and Anyone Can Use It

Some of the most dazzling recent advances in artificial intelligence have come thanks to resources only available at big tech companies, where thousands of powerful computers and terabytes of data can be as copious as free granola bars and nap pods.

A new project aims to show this needn’t be the case, by cobbling together the code, data, and computer power needed to reproduce one of the most epic—and potentially useful—AI algorithms developed in recent years.

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Article: Propelling Artificial Intelligence Forward with Open Source Technology

Open Source

Propelling Artificial Intelligence Forward with Open Source Technology

Despite economic impacts from the COVID-19 pandemic, the Artificial Intelligence (AI) industry has continued to grow and is forecasted to continue its growth trajectory in the coming years. However, the industry needs high-quality training data to support this growth.

It’s not surprising then that as the AI industry has grown, the data labeling industry is growing rapidly in tandem. The data annotation tools market size was more than $700 million in 2019 and is predicted to grow by more than 30% in the next six years. As the demand for training data increased, there has also been an increase in offerings from different data labeling tools and partners.

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Article: A 10 Year Vision: Future Trends in Geospatial Information Management

Geospatial, Open Data

A 10 Year Vision: Future Trends in Geospatial Information Management

The United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM) recently published their second edition of Future Trends in Geospatial Information Management. I blogged about the first edition here. Below are some of the excerpts I found interesting or noteworthy. The report itself is a 50-page document (PDF 7.1Mb).

  • The integration of smart technologies and efficient governance models will increase and the mantra of ‘doing more for less’ is more relevant than ever before.

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