Working to engineer a Smart Living infrastructure by: -Inspiring the next generation of engineers and technicians on smart living -Informing the wider engineering community on smart living -Influencing government and policy makers to provide better living conditions in India -Inspiring society, by demonstrating the relevance, values & exciting possibilities of smart living
IET Smart Cities Series
Claim This Podcastby IET Smart Cities
23 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇮🇳
Podcast Overview
Working to engineer a Smart Living infrastructure by: -Inspiring the next generation of engineers and technicians on smart living -Informing the wider engineering community on smart living -Influencing government and policy makers to provide better living conditions in India -Inspiring society, by demonstrating the relevance, values & exciting possibilities of smart living
Language
🇺🇲
Publishing Since
12/6/2019
1 verified contact email on file for IET Smart Cities Series
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
December 15, 2022
Climate-resilient development in data-driven smart cities
<p>As we are not on track to meet the Paris targets of 1.5 degrees C of limiting global warming, it seems increasingly likely that we will need to take systemic approaches to build resilience to the vulnerabilities induced by a changing climate. With 50 percent of the world’s population (80 percent in the developed world), accounting for 75 percent of overall GHG emissions, cities provide a key arena for identifying building climate-resilience. This podcast examines the role that emerging technologies in data-driven smart cities around the world have in building such resilience.</p>
July 25, 2022
Climate-resilient development in Indian Smart Cities
<p>India is one of the most vulnerable countries to the effects of climate change. What are the socio-technical and policy roadmaps we can consider to pivot our Smart Cities towards climate mitigation, adaptation and resilience - especially based on data, emerging technologies such as AI and machine-learning, and blockchain etc? A podcast interview with Dr Jai Asundi, Executive Director of CSTEP- Center for Study of Science, Technology and Policy</p>
December 20, 2021
AI for Water
<p>AI as a technology can help make the process of water management much easier with the volumes of data that it can make sense of, which in turn helps in building efficient water systems and networks. What is the current state of water contamination of water borne diseases and how the pandemic has spurred this? How do tools like AI and ML help in detecting and preventing water borne diseases? How are AI based local predictions of Water contaminants useful? What is the current state of India in putting AI tools to work? What are the challenges and opportunities that can/ need to be leveraged? Find out in this episode of IET India Smart Cities Podcast series.</p>
23 total episodes available
Deep-dive analytics for IET Smart Cities Series
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is IET Smart Cities Series?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.