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المحتوى المقدم من Barbara Bickham. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Barbara Bickham أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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CES 2025: What's Next for Smart Cities: AI for Data, Planning and Beyond

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Manage episode 461715956 series 2951547
المحتوى المقدم من Barbara Bickham. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Barbara Bickham أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Female VC Lab Show Notes

Episode Title and Number: CES2025: What's Next for Smart Cities - AI for Data, Planning, and Beyond

Name of Session: What's Next for Smart Cities: AI for Data, Planning and Beyond

Date and Time: Tuesday, January 7, 2025 at 3:00 PM

Location: Las Vegas Convention Center North - N257

Session Description: The rise of AI-powered Smart Cities is significant. Learn from early adopters who have seen AI capabilities become notable force multipliers in our smartest cities.

Full Panel:

  • David Shier, Managing Director, Visionary Future (Moderator)

  • Sheri Bachstein, CEO, The Weather Company

  • Barbara Bickham, Founder & GP, Trailyn VC

  • Nadia Hansen, Global Digital Transformation Executive, Salesforce

  • Prachi Vakharia, ARPA-I: Strategic Advisor for Innovations & Infrastructure, USDOT

Episode Summary: In this episode, we dive into the transformative potential of AI in developing smart cities, as discussed in a CES 2025 panel. The conversation covers aspects ranging from extreme weather prediction to citizen-centric services and the ethical implications of AI in urban governance.

Key Points Discussed:

  • The role of AI in predicting extreme weather and urban design

  • Probabilistic forecasting and its benefits for emergency preparedness

  • The concept of citizen-centric smart cities for enhanced public participation

  • Challenges in data standardization and the importance of public-private partnerships

  • Ethical considerations, including bias and privacy concerns in AI technologies

Timecode Guide:

  • 00:00:04

    - Introduction to smart cities and AI

  • 00:00:38

    - Discussion about extreme weather prediction with AI

  • 00:01:53

    - Explanation of probabilistic forecasting

  • 00:03:09

    - Concept of citizen-centric smart cities

  • 00:04:47

    - Data challenges and public-private partnerships

  • 00:08:09

    - Ethics, transparency, and public education on AI

  • 00:11:01

    - Challenges with AI model sizes and limited data

  • 00:17:40

    - Privacy concerns in smart cities

  • 00:18:45

    - Ensuring AI doesn't perpetuate bias

  • 00:20:02

    - Discussion on potential job losses and new opportunities

  • 00:21:09

    - Misuse of AI by authoritarian governments

  • 00:22:25

    - Weather strategy in the era of climate change

  • 00:25:27

    - Collaboration and human-centered AI

  • 00:27:45

    - Future vision for smart cities

Full Topic Guide:

The Future of Smart Cities: Harnessing AI for a Better Urban Life

Introduction: As we stand on the brink of an AI-driven transformation in urban living, the CES 2025 panel offers an enlightening glimpse into how next-gen technologies are being leveraged to create smarter, more resilient cities. Hosts Daniel and Barbara Bickham review these discussions, stressing the interplay of data, AI, and human insight in shaping the future.

AI in Predicting Extreme Weather: One of the most compelling highlights was the role of AI in weather prediction and urban planning. As climate change leads to unpredictable weather patterns, AI provides a way to prepare for unprecedented events. AI's capacity to analyze vast amounts of climate data allows for effective "what if" scenario modeling, enabling cities to design infrastructure that can withstand extreme conditions. For example, you might reinforce a seawall today based on AI predictions of future storms.

Probabilistic Forecasting: Advancements in probabilistic forecasting were another exciting point discussed. Unlike traditional methods, probabilistic forecasting uses AI to run thousands of scenarios, providing a range of potential outcomes rather than a single prediction. This not only improves weather accuracy but also aids in emergency preparedness, allowing cities to allocate resources more efficiently and preempt disasters, thereby saving lives and reducing costs.

Citizen-Centric Smart Cities: The concept of making cities more user-friendly for residents drew considerable attention. Imagine all city services being available through a single app—reporting potholes, paying taxes, or even participating in local governance through blockchain-enabled voting systems. This not only simplifies interactions with municipal services but also empowers citizens by giving them a direct say in urban management.

Data Challenges and Public-Private Partnerships: However, the transition to smart cities is fraught with challenges, particularly in data management. Cities gather massive amounts of data, but these are often trapped in silos, hindering a comprehensive overview. Collaboration through public-private partnerships is vital here. Government bodies possess critical data, while private enterprises offer the technological expertise to process and utilize this information effectively. Examples like the Weather Company's collaborations with NOAA and NVIDIA highlight the potential of these partnerships.

Ethical and Transparency Considerations: The panel stressed the ethical implications of integrating AI into city management. Trust and transparency are crucial for citizen buy-in. There needs to be a concerted effort to educate both government officials and the public on AI. Moreover, it's important to ensure that AI systems are fair and do not perpetuate existing biases. Implementing strong ethical guidelines and having diverse teams develop these technologies can mitigate potential risks.

Privacy Concerns: With vast amounts of data being collected, privacy is a significant concern. Clear rules on data collection, use, and access are necessary to prevent misuse. Enabling citizens to control their data and ensuring transparency about how it is used are steps toward this goal.

Conclusion: The future of smart cities depends not just on technological advancements but on collaborative, human-centered approaches. As we navigate this transformation, the focus must remain on using technology to enhance, not hinder, urban life.

Notable Quotes from the Hosts:

  1. "It's about giving people the tools and the knowledge to be active participants in shaping the future of their cities."

  2. "We need to be mindful of the potential consequences of AI on jobs, privacy, and equality."

Fun Facts or Interesting Tidbits:

  1. People were more interested in searching for inmates in jail rather than marriage licenses on the redesigned Clark County website.

  2. A project in Massachusetts involved transit maps from the 1970s, highlighting the need to update and digitize old data for modern use.

Stay engaged with the conversation on how AI and technology are transforming our cities. Feel inspired? Share your ideas on how we can build a smarter, more inclusive future for our urban environments. Follow us on social media and subscribe to our newsletter for more updates and deep dives into the latest technological trends.

  continue reading

110 حلقات

Artwork
iconمشاركة
 
Manage episode 461715956 series 2951547
المحتوى المقدم من Barbara Bickham. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Barbara Bickham أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Female VC Lab Show Notes

Episode Title and Number: CES2025: What's Next for Smart Cities - AI for Data, Planning, and Beyond

Name of Session: What's Next for Smart Cities: AI for Data, Planning and Beyond

Date and Time: Tuesday, January 7, 2025 at 3:00 PM

Location: Las Vegas Convention Center North - N257

Session Description: The rise of AI-powered Smart Cities is significant. Learn from early adopters who have seen AI capabilities become notable force multipliers in our smartest cities.

Full Panel:

  • David Shier, Managing Director, Visionary Future (Moderator)

  • Sheri Bachstein, CEO, The Weather Company

  • Barbara Bickham, Founder & GP, Trailyn VC

  • Nadia Hansen, Global Digital Transformation Executive, Salesforce

  • Prachi Vakharia, ARPA-I: Strategic Advisor for Innovations & Infrastructure, USDOT

Episode Summary: In this episode, we dive into the transformative potential of AI in developing smart cities, as discussed in a CES 2025 panel. The conversation covers aspects ranging from extreme weather prediction to citizen-centric services and the ethical implications of AI in urban governance.

Key Points Discussed:

  • The role of AI in predicting extreme weather and urban design

  • Probabilistic forecasting and its benefits for emergency preparedness

  • The concept of citizen-centric smart cities for enhanced public participation

  • Challenges in data standardization and the importance of public-private partnerships

  • Ethical considerations, including bias and privacy concerns in AI technologies

Timecode Guide:

  • 00:00:04

    - Introduction to smart cities and AI

  • 00:00:38

    - Discussion about extreme weather prediction with AI

  • 00:01:53

    - Explanation of probabilistic forecasting

  • 00:03:09

    - Concept of citizen-centric smart cities

  • 00:04:47

    - Data challenges and public-private partnerships

  • 00:08:09

    - Ethics, transparency, and public education on AI

  • 00:11:01

    - Challenges with AI model sizes and limited data

  • 00:17:40

    - Privacy concerns in smart cities

  • 00:18:45

    - Ensuring AI doesn't perpetuate bias

  • 00:20:02

    - Discussion on potential job losses and new opportunities

  • 00:21:09

    - Misuse of AI by authoritarian governments

  • 00:22:25

    - Weather strategy in the era of climate change

  • 00:25:27

    - Collaboration and human-centered AI

  • 00:27:45

    - Future vision for smart cities

Full Topic Guide:

The Future of Smart Cities: Harnessing AI for a Better Urban Life

Introduction: As we stand on the brink of an AI-driven transformation in urban living, the CES 2025 panel offers an enlightening glimpse into how next-gen technologies are being leveraged to create smarter, more resilient cities. Hosts Daniel and Barbara Bickham review these discussions, stressing the interplay of data, AI, and human insight in shaping the future.

AI in Predicting Extreme Weather: One of the most compelling highlights was the role of AI in weather prediction and urban planning. As climate change leads to unpredictable weather patterns, AI provides a way to prepare for unprecedented events. AI's capacity to analyze vast amounts of climate data allows for effective "what if" scenario modeling, enabling cities to design infrastructure that can withstand extreme conditions. For example, you might reinforce a seawall today based on AI predictions of future storms.

Probabilistic Forecasting: Advancements in probabilistic forecasting were another exciting point discussed. Unlike traditional methods, probabilistic forecasting uses AI to run thousands of scenarios, providing a range of potential outcomes rather than a single prediction. This not only improves weather accuracy but also aids in emergency preparedness, allowing cities to allocate resources more efficiently and preempt disasters, thereby saving lives and reducing costs.

Citizen-Centric Smart Cities: The concept of making cities more user-friendly for residents drew considerable attention. Imagine all city services being available through a single app—reporting potholes, paying taxes, or even participating in local governance through blockchain-enabled voting systems. This not only simplifies interactions with municipal services but also empowers citizens by giving them a direct say in urban management.

Data Challenges and Public-Private Partnerships: However, the transition to smart cities is fraught with challenges, particularly in data management. Cities gather massive amounts of data, but these are often trapped in silos, hindering a comprehensive overview. Collaboration through public-private partnerships is vital here. Government bodies possess critical data, while private enterprises offer the technological expertise to process and utilize this information effectively. Examples like the Weather Company's collaborations with NOAA and NVIDIA highlight the potential of these partnerships.

Ethical and Transparency Considerations: The panel stressed the ethical implications of integrating AI into city management. Trust and transparency are crucial for citizen buy-in. There needs to be a concerted effort to educate both government officials and the public on AI. Moreover, it's important to ensure that AI systems are fair and do not perpetuate existing biases. Implementing strong ethical guidelines and having diverse teams develop these technologies can mitigate potential risks.

Privacy Concerns: With vast amounts of data being collected, privacy is a significant concern. Clear rules on data collection, use, and access are necessary to prevent misuse. Enabling citizens to control their data and ensuring transparency about how it is used are steps toward this goal.

Conclusion: The future of smart cities depends not just on technological advancements but on collaborative, human-centered approaches. As we navigate this transformation, the focus must remain on using technology to enhance, not hinder, urban life.

Notable Quotes from the Hosts:

  1. "It's about giving people the tools and the knowledge to be active participants in shaping the future of their cities."

  2. "We need to be mindful of the potential consequences of AI on jobs, privacy, and equality."

Fun Facts or Interesting Tidbits:

  1. People were more interested in searching for inmates in jail rather than marriage licenses on the redesigned Clark County website.

  2. A project in Massachusetts involved transit maps from the 1970s, highlighting the need to update and digitize old data for modern use.

Stay engaged with the conversation on how AI and technology are transforming our cities. Feel inspired? Share your ideas on how we can build a smarter, more inclusive future for our urban environments. Follow us on social media and subscribe to our newsletter for more updates and deep dives into the latest technological trends.

  continue reading

110 حلقات

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