Smart City Innovation – AI-Powered Private Network Enhances Urban Safety and Efficiency

Smart City Innovation – AI-Powered Private Network Enhances Urban Safety and Efficiency

Las Vegas is taking a significant leap forward in smart city technology with the rollout of an advanced AI-enabled private network. This cutting-edge system, unveiled just before the annual Mobile World Congress (MWC), represents a major step in urban digital transformation. The network, built by Vapor IO using Nvidia hardware, combines 5G connectivity with artificial intelligence to deliver computer vision-based services throughout the city.

At the heart of this innovative system is a large language model (LLM) for AI inference, allowing the network to process and analyze new data in real-time. This capability enables the system to draw insightful conclusions from various data sources, including computer vision cameras positioned at key intersections and potentially even data from consumer mobile devices.

The primary focus of this smart city initiative is to enhance public safety and optimize traffic management. By leveraging AI and computer vision technologies, the system can assist in critical scenarios such as locating missing persons. For instance, the network could potentially track the movement of a lost child based on time and location data, significantly improving response times in emergency situations.

Beyond public safety, the AI-powered network aims to revolutionize traffic automation in Las Vegas. By processing vast amounts of real-time data from various sources, the system can potentially reduce congestion, improve traffic flow, and enhance overall urban mobility. This integration of AI with city infrastructure marks a significant advancement in smart city technology, potentially setting a new standard for urban management and public service delivery.

Technologies Used:

  • 5G Private Network: Provides high-speed, low-latency connectivity essential for real-time data processing and communication across the city.
  • Artificial Intelligence (AI) and Large Language Models (LLM): Enable advanced data analysis and inference, allowing the system to process complex information and make intelligent decisions.
  • Computer Vision: Utilizes cameras around the city to gather visual data, crucial for applications in public safety and traffic management.
  • Edge Computing: Facilitates rapid data processing and analysis close to the data source, reducing latency and improving system responsiveness.

Companies Involved:

  • Vapor IO: Responsible for building the 5G private network infrastructure in Las Vegas, integrating AI capabilities for computer vision services.
  • Nvidia: Provides the hardware necessary for running AI workloads and supporting the network’s advanced capabilities.

Sustainability Focus:

  • Urban Efficiency: By optimizing traffic flow and enhancing public safety response, the system can potentially reduce urban congestion and associated emissions.
  • Resource Optimization: AI-driven insights can lead to more efficient use of city resources, potentially reducing waste and improving overall sustainability.
  • Public Safety: Enhanced monitoring and response capabilities contribute to a safer urban environment, improving quality of life for residents.
  • Energy Management: While the system likely requires significant computing power, the potential for optimizing city operations could lead to net energy savings in the long term.

SDGs Impacted:

  • SDG 11 (Sustainable Cities and Communities): The project directly contributes to making cities more inclusive, safe, resilient, and sustainable through smart technology integration.
  • SDG 9 (Industry, Innovation and Infrastructure): By implementing cutting-edge AI and 5G technologies, the project fosters innovation in urban infrastructure.
  • SDG 3 (Good Health and Well-being): Improved public safety measures and potentially faster emergency response times contribute to the health and well-being of city residents.

Geographic Focus: USA

Industry Focus: Smart Cities, Telecommunications, Public Safety

Source: Fierce Network

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AI and Analytics Revolutionize Industrial Water Management for Sustainability

AI and Analytics Revolutionize Industrial Water Management for Sustainability

In an era where water scarcity and environmental concerns are at the forefront of industrial challenges, innovative technologies are emerging as powerful tools for optimization and conservation. Advanced artificial intelligence (AI) and data analytics are now being employed to tackle complex water management issues across various industries, from oil extraction to semiconductor manufacturing.

These cutting-edge solutions are providing unprecedented insights into water usage, quality, and treatment processes. By leveraging real-time monitoring and AI-driven analytics, companies can now enhance their visibility into water-related operations, leading to more efficient use of this precious resource. The technology not only helps in optimizing current processes but also in identifying predictive maintenance opportunities, further reducing waste and improving overall sustainability.

One of the key techniques being utilized is water balance modeling. This mathematical approach calculates a company’s net water consumption, evaluating the components of the hydrologic cycle within industrial operations and the interactions between them. This comprehensive view allows for targeted improvements and more sustainable water management practices.

The impact of these technologies is particularly significant in water-intensive industries. For instance, in oil extraction, where 3-5 barrels of water are typically needed for every barrel of crude oil, or in the semiconductor industry, which uses vast amounts of ultra-pure water daily. The food and beverage sector, mining companies, and the emerging green hydrogen industry are also set to benefit greatly from these advancements in water management technology.

Technologies Used:

  • AI and Data Analytics: Used for real-time monitoring, process optimization, and predictive maintenance in water management systems.
  • Water Balance Modeling: Mathematical modeling technique to calculate and analyze net water consumption in industrial processes.
  • Predictive Maintenance Models: AI-driven systems that can forecast equipment issues, such as membrane fouling in desalination plants.

Companies Involved:

  • Schneider Electric: Provides AI and analytics solutions for optimizing industrial water processes and energy usage.

Sustainability Focus:

  • Water Conservation: Optimizing water usage in various industries, reducing waste and improving efficiency.
  • Energy Efficiency: Reducing energy consumption in water treatment processes, particularly in desalination plants.
  • Chemical Reduction: Minimizing the use of chemicals in water treatment through optimized dosing strategies.
  • Resource Longevity: Extending the life of equipment such as reverse osmosis membranes, reducing waste and replacement frequency.

SDGs Impacted:

  • SDG 6 (Clean Water and Sanitation): Improving water use efficiency and reducing water waste in industrial processes.
  • SDG 9 (Industry, Innovation and Infrastructure): Promoting innovative technologies for sustainable industrialization.
  • SDG 12 (Responsible Consumption and Production): Enhancing resource efficiency and reducing chemical use in industrial operations.

Geographic Focus: Global

Industry Focus: Industrial Manufacturing, Energy, Oil & Gas

Source: Water Technology Online

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AI-Powered Platform Revolutionizes Freight Emissions Tracking and Optimization

AI-Powered Platform Revolutionizes Freight Emissions Tracking and Optimization

In a groundbreaking move for the logistics industry, a new AI-enabled platform has been launched to measure and optimize carbon emissions and freight performance across entire Australian freight networks. This innovative solution marks a significant step towards enhancing sustainability in the supply chain sector, offering businesses unprecedented visibility into their logistics operations.

The platform, known as DataVerse, aggregates previously siloed data from multiple sources, including non-company freight, to provide a comprehensive view of freight movements. By integrating with existing carbon analytics and performance analysis tools, it offers valuable insights into emissions and supply chain efficiency. This holistic approach allows businesses of all sizes to analyze their logistics network performance across the country, a crucial factor in maintaining competitiveness and meeting customer demands.

One of the key features of DataVerse is its ability to calculate overall freight information, achieving a single view of 100% of businesses’ freight movements. This total visibility over net emissions is particularly important as regulatory requirements for emissions reporting are set to tighten. The platform’s capabilities exceed government reporting requirements, enabling businesses to measure, identify, and reduce the impact of their shipments effectively.

The introduction of this technology comes at a critical time, as the logistics industry faces increasing pressure to decarbonize. With articulated trucks accounting for a disproportionate share of vehicle emissions, tackling inefficiencies in logistics can have a major immediate impact on reducing carbon footprints. The platform empowers businesses with the data needed to address carbon emissions, inefficiencies, and waste throughout their products’ journeys.

Technologies Used:

  • AI-Enabled Platform: DataVerse uses artificial intelligence to analyze and optimize freight data across entire logistics networks.
  • Carbon Analytics Platform (CAP): Provides granular data on road logistics emissions, measuring total CO2 emissions, average emissions per kilometer, and per shipment.
  • Data Integration Systems: Aggregates data from multiple sources to create a comprehensive view of freight movements and emissions.

Companies Involved:

  • Ofload: The leading digital freight provider in Australia that developed and launched the DataVerse platform.
  • Remedy Drinks: A health drink producer serving as the first customer to pilot the DataVerse platform.

Sustainability Focus:

  • Carbon Emissions Reduction: The platform enables businesses to track and optimize their carbon footprint across logistics operations, supporting the transition to low-emission supply chains.
  • Supply Chain Efficiency: By providing comprehensive data analysis, the technology helps identify opportunities to consolidate freight shipments and reduce waste in the supply chain.
  • Industry Accountability: DataVerse promotes transparency in the logistics industry, allowing businesses to compare performance between providers and drive overall improvements in sustainability practices.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): The platform represents a significant innovation in freight logistics, promoting sustainable industrialization.
  • SDG 13 (Climate Action): By enabling better tracking and reduction of carbon emissions in the freight sector, the technology directly contributes to climate change mitigation efforts.
  • SDG 12 (Responsible Consumption and Production): The platform supports more sustainable management and efficient use of natural resources in the supply chain.

Geographic Focus: Australia

Industry Focus: Transportation and Logistics

Source: Retail World Magazine

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Advanced Technologies Revolutionize School Safety Measures in Connecticut

Advanced Technologies Revolutionize School Safety Measures in Connecticut

In response to growing security concerns and recent swatting incidents, school districts across Connecticut are implementing cutting-edge technologies to enhance student and staff safety. These innovative measures, ranging from GPS-enabled identification tags to artificial intelligence-powered systems, represent a significant leap forward in educational institution security protocols.

Berlin, Connecticut, stands at the forefront of this technological revolution in school safety. The district has introduced a comprehensive suite of advanced security solutions, each designed to address specific safety challenges. These include an internal communications system with GPS-enabled ID tags for rapid alert and location tracking, AI-powered weapon detection systems, and enhanced metal detectors with improved portability and design.

One of the most notable advancements is the potential use of artificial intelligence in managing missing child scenarios. This technology could dramatically improve the efficiency of search efforts by quickly processing and enhancing photographs, potentially reducing response times in critical situations. Additionally, the district is exploring upgrades to its Securly technology, which monitors school devices, aiming to automate the process for 24/7 coverage.

These technological implementations are part of a broader strategy that includes regular safety drills, crisis intervention teams, and physical security enhancements such as security film on windows and redesigned door systems. The collaborative approach between school officials, local government, and law enforcement ensures a comprehensive and adaptive security framework that prioritizes student and staff well-being.

Technologies Used:

  • GPS-Enabled ID Tags: Provide real-time location tracking and distress signaling capability for staff members.
  • AI-Powered Weapon Detection: Uses camera systems with specialized software to detect weapons and alert authorities.
  • Advanced Metal Detectors: Portable and streamlined designs for efficient security screening.

Companies Involved:

  • Securly: Provides device monitoring technology for student safety and digital citizenship.

Sustainability Focus:

  • Social Safety: Enhances the overall safety and well-being of students and staff in educational environments.
  • Community Resilience: Strengthens the community’s ability to respond to and prevent security threats.
  • Technological Innovation: Drives the development and adoption of advanced technologies in public sector applications.

SDGs Impacted:

  • SDG 4 (Quality Education): By creating safer learning environments, these technologies support the goal of inclusive and quality education for all.
  • SDG 11 (Sustainable Cities and Communities): Enhances the safety and resilience of educational institutions, contributing to sustainable urban development.
  • SDG 16 (Peace, Justice and Strong Institutions): Strengthens institutional capacity to prevent violence and ensure public safety.

Geographic Focus: United States

Industry Focus: Education, Public Safety

Source: CT Insider

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AI-Powered Fraud Prevention: Telecom Giant Blocks Millions of Scam Calls

AI-Powered Fraud Prevention: Telecom Giant Blocks Millions of Scam Calls

In a significant move to combat the rising tide of phone scams, a major telecommunications company has deployed advanced artificial intelligence (AI) technology to protect its customers. This innovative approach has successfully thwarted millions of fraudulent calls in just four months, marking a substantial leap forward in consumer protection efforts.

The AI-powered tool, introduced in May, has demonstrated remarkable efficacy in identifying and blocking both scam and spam calls. In its initial four-month deployment, the system intercepted an impressive 20.1 million malicious calls, comprising 2.7 million scam calls and 17.7 million nuisance spam calls. Projections suggest that this technology could prevent over 60 million scam calls from reaching landline users annually, averaging about 5 million blocked calls per month.

This initiative is particularly crucial for older adults, who remain primary targets for phone-based “vishing” scams. With four out of five people over 65 in the UK still relying on landlines, this demographic stands to benefit significantly from enhanced call screening. The timing of this technological rollout is strategic, as scam activities typically intensify in the lead-up to the holiday season.

The introduction of this AI system comes at a critical time, as sophisticated scams utilizing AI voice cloning technology are on the rise. These scams involve fraudsters using advanced techniques to replicate a person’s voice from brief audio samples, enabling them to impersonate family members and request urgent financial assistance under false pretenses.

Technologies Used:

  • AI-Powered Call Monitoring: An artificial intelligence system that analyzes incoming calls to detect potential scams and spam, providing real-time warnings to users.
  • Machine Learning: Technology that continuously improves scam detection capabilities by learning from each encountered malicious call.
  • Digital Voice Service: An advanced landline system that integrates AI-powered call protection features.

Companies Involved:

  • BT (British Telecom): The telecommunications company implementing the AI-powered scam prevention technology on its landline services.
  • Hiya: The US-based protection company providing the AI technology powering the scam prevention tool.

Sustainability Focus:

  • Consumer Protection: Enhances safety for vulnerable populations, particularly older adults, against financial fraud and scams.
  • Social Responsibility: Demonstrates corporate commitment to addressing societal issues like phone fraud, which disproportionately affects certain demographics.
  • Technological Innovation for Social Good: Utilizes cutting-edge AI technology to solve a pressing social problem, showcasing how innovation can be directed towards improving quality of life.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Promotes technological innovation in telecommunications infrastructure to enhance consumer safety.
  • SDG 10 (Reduced Inequalities): Helps protect vulnerable populations, particularly older adults, from financial exploitation, thereby reducing social inequalities.
  • SDG 16 (Peace, Justice and Strong Institutions): Contributes to building safer communities by combating fraud and enhancing trust in communication systems.

Geographic Focus: United Kingdom

Industry Focus: Telecommunications, Cybersecurity

Source: This is Money

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Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

Typhoon-Resistant Floating Wind Technology Advances Taiwan’s Renewable Energy Goals

Typhoon-Resistant Floating Wind Technology Advances Taiwan’s Renewable Energy Goals

In a significant move towards sustainable energy production, Taiwan is making strides in developing typhoon-resistant floating wind technology. This innovative approach addresses the unique challenges faced by the island nation in harnessing its offshore wind resources, particularly in deep-water areas prone to extreme weather conditions.

The collaboration between a Taiwanese renewable energy developer and a French floating wind specialist marks a pivotal moment in Taiwan’s renewable energy journey. By introducing patented technology designed to stabilize floating wind platforms against severe weather, this partnership is set to revolutionize Taiwan’s offshore wind sector. The technology, already proven in both European and Asian typhoon conditions, promises to unlock the potential of Taiwan’s deep-water wind resources.

This innovative floating foundation features a unique design that uses internal water oscillation to counteract external wave motion, significantly enhancing platform stability in high-wave offshore wind sites. The technology’s compact design and shallow draft also facilitate faster and more cost-effective construction, addressing key challenges in offshore wind development. With plans to develop at least 10 GW of floating wind projects globally by 2030, this initiative positions Taiwan at the forefront of floating wind technology in Asia.

The success of this demonstration project could establish Taiwan as a pioneer in Asia’s floating wind sector, potentially transforming the island nation into a regional hub for floating wind technology. This development not only contributes to Taiwan’s renewable energy goals but also sets a precedent for other coastal nations facing similar geographical and climatic challenges in their pursuit of sustainable energy solutions.

Technologies Used:

  • Damping Pool® Technology: A patented foundation innovation designed to stabilize floating wind platforms against extreme weather conditions, using internal water oscillation to counteract external wave motion.
  • Floating Wind Platforms: Advanced structures adapted for deep-water wind resource exploitation, featuring a unique rectangular ring structure with enhanced stability features.
  • Shallow Draft Design: Engineered for simplicity and resilience, allowing for construction in commercial ports and reducing reliance on large, high-cost cranes.

Companies Involved:

  • Taiya Renewable Energy: Taiwanese developer leading the local implementation of the floating wind farm project off Miaoli County’s coast.
  • BW Ideol: French floating wind specialist providing the patented Damping Pool® technology and extensive offshore operational expertise.

Sustainability Focus:

  • Renewable Energy Production: Facilitates the exploitation of deep-water wind resources, significantly increasing Taiwan’s renewable energy capacity.
  • Climate Resilience: Enhances the resilience of offshore wind infrastructure against extreme weather events, ensuring consistent energy production.
  • Environmental Protection: Minimizes environmental impact by enabling wind farms in deep-water areas, potentially reducing conflicts with coastal ecosystems and marine activities.

SDGs Impacted:

  • SDG 7 (Affordable and Clean Energy): Advances the development and implementation of renewable energy technologies, particularly in challenging offshore environments.
  • SDG 9 (Industry, Innovation and Infrastructure): Promotes innovative infrastructure solutions for sustainable energy production, fostering technological advancements in the renewable sector.
  • SDG 13 (Climate Action): Contributes to climate change mitigation efforts by expanding clean energy production capabilities and enhancing resilience against extreme weather events.
  • SDG 14 (Life Below Water): Potentially reduces pressure on coastal ecosystems by enabling wind farm development further offshore in deep-water areas.

Geographic Focus: Taiwan, Global

Industry Focus: Renewable Energy, Offshore Wind, Maritime Technology

Source: Digital Times

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

The inclusion of experts on this website or in any professional directory on this website does not imply recommendation or endorsement of such expert nor is such information intended as a tool for verifying the credentials, qualifications, or abilities of any expert contained therein.

All information on this website is provided on an “as-is” basis and the Company disclaims all warranties, either express or implied, including but not limited to the implied warranties of merchantability and fitness for particular purpose as to the results you may achieve on account your use of this website, as to the results you may achieve on account of any relationship you elect to create with an expert. The Company does not make any representations or warranties regarding any expert, including but not limited to, any expert’s ability to obtain a favorable result for you. The Company does not guaranty in any services or goods associated with this website will be error-free or uninterrupted, or that any service or good will continue to be available. Any material downloaded or otherwise obtained through the use of the service is done at your own discretion and risk and that you will be solely responsible for any damage to your computer system or loss of data that results from the download of any such material. No information, whether oral or written, obtained by you from the Company or through or from this website shall create any warranty not expressly stated.

Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability

AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability

In a groundbreaking development for infrastructure maintenance, advanced artificial intelligence (AI) and drone technology are being harnessed to detect and address corrosion in steel bridges. This innovative approach, developed by NTT Corporation and NTT e-Drone Technology Corporation, marks a significant leap forward in ensuring the safety and longevity of critical infrastructure while potentially reducing maintenance costs and environmental impact.

The new method combines AI-powered image recognition with drone technology to overcome the limitations of traditional visual inspections. By automating the process of corrosion detection and depth estimation, this solution addresses the longstanding challenges faced by infrastructure managers in maintaining steel structures. The Federal Highway Administration has previously highlighted the inconsistencies in corrosion detection due to varying operator experience and equipment sensitivity, issues that this AI-drone integration aims to resolve.

A real-world application of this technology was successfully demonstrated on a bridge in Kumagaya City, Japan. Drones captured high-resolution images of the bridge structure, which were then analyzed by AI algorithms to detect areas of corrosion and estimate the depth of damage. This approach not only improves the accuracy of inspections but also significantly reduces the need for costly and potentially hazardous manual inspections that often require scaffolding or specialized equipment.

Looking ahead, NTT plans to expand the application of this technology beyond bridges to include other steel structures such as towers and guardrails. The company aims to introduce this as a comprehensive inspection support technology by fiscal year 2025, contributing to a more sustainable approach to infrastructure maintenance. By reducing inspection costs and improving the efficiency of corrosion detection, this innovation has the potential to address the rising costs of infrastructure maintenance while ensuring public safety and extending the lifespan of critical structures.

Technologies Used:

  • AI Image Recognition: Analyzes drone-captured images to detect corrosion and estimate its depth, improving accuracy over traditional visual inspections.
  • Drone Imaging Systems: Capture high-resolution images of bridge structures, enabling access to hard-to-reach areas without the need for scaffolding.
  • Ultrasonic Devices: Used in conjunction with AI analysis to measure the loss in steel cross-sections of corroded areas, enhancing the precision of damage assessment.

Companies Involved:

Sustainability Focus:

  • Resource Efficiency: Reduces the need for physical inspections and associated resources, minimizing environmental impact.
  • Infrastructure Longevity: Enables early detection and intervention, extending the lifespan of steel structures and reducing material waste.
  • Safety Enhancement: Improves worker safety by reducing the need for manual inspections in hazardous areas.
  • Cost Reduction: Lowers maintenance costs through efficient and accurate inspections, allowing for better allocation of resources.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Promotes resilient infrastructure through innovative maintenance techniques.
  • SDG 11 (Sustainable Cities and Communities): Enhances the safety and sustainability of urban infrastructure.
  • SDG 12 (Responsible Consumption and Production): Supports efficient use of resources in infrastructure maintenance.

Geographic Focus: Japan

Industry Focus: Infrastructure, Construction

Source: DroneLife

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

The inclusion of experts on this website or in any professional directory on this website does not imply recommendation or endorsement of such expert nor is such information intended as a tool for verifying the credentials, qualifications, or abilities of any expert contained therein.

All information on this website is provided on an “as-is” basis and the Company disclaims all warranties, either express or implied, including but not limited to the implied warranties of merchantability and fitness for particular purpose as to the results you may achieve on account your use of this website, as to the results you may achieve on account of any relationship you elect to create with an expert. The Company does not make any representations or warranties regarding any expert, including but not limited to, any expert’s ability to obtain a favorable result for you. The Company does not guaranty in any services or goods associated with this website will be error-free or uninterrupted, or that any service or good will continue to be available. Any material downloaded or otherwise obtained through the use of the service is done at your own discretion and risk and that you will be solely responsible for any damage to your computer system or loss of data that results from the download of any such material. No information, whether oral or written, obtained by you from the Company or through or from this website shall create any warranty not expressly stated.

Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability

AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability

In a groundbreaking development for infrastructure maintenance, advanced artificial intelligence (AI) and drone technology are being harnessed to detect and address corrosion in steel bridges. This innovative approach, developed by NTT Corporation and NTT e-Drone Technology Corporation, marks a significant leap forward in ensuring the safety and longevity of critical infrastructure while potentially reducing maintenance costs and environmental impact.

The new method combines AI-powered image recognition with drone technology to overcome the limitations of traditional visual inspections. By automating the process of corrosion detection and depth estimation, this solution addresses the longstanding challenges faced by infrastructure managers in maintaining steel structures. The Federal Highway Administration has previously highlighted the inconsistencies in corrosion detection due to varying operator experience and equipment sensitivity, issues that this AI-drone integration aims to resolve.

A real-world application of this technology was successfully demonstrated on a bridge in Kumagaya City, Japan. Drones captured high-resolution images of the bridge structure, which were then analyzed by AI algorithms to detect areas of corrosion and estimate the depth of damage. This approach not only improves the accuracy of inspections but also significantly reduces the need for costly and potentially hazardous manual inspections that often require scaffolding or specialized equipment.

Looking ahead, NTT plans to expand the application of this technology beyond bridges to include other steel structures such as towers and guardrails. The company aims to introduce this as a comprehensive inspection support technology by fiscal year 2025, contributing to a more sustainable approach to infrastructure maintenance. By reducing inspection costs and improving the efficiency of corrosion detection, this innovation has the potential to address the rising costs of infrastructure maintenance while ensuring public safety and extending the lifespan of critical structures.

Technologies Used:

  • AI Image Recognition: Analyzes drone-captured images to detect corrosion and estimate its depth, improving accuracy over traditional visual inspections.
  • Drone Imaging Systems: Capture high-resolution images of bridge structures, enabling access to hard-to-reach areas without the need for scaffolding.
  • Ultrasonic Devices: Used in conjunction with AI analysis to measure the loss in steel cross-sections of corroded areas, enhancing the precision of damage assessment.

Companies Involved:

Sustainability Focus:

  • Resource Efficiency: Reduces the need for physical inspections and associated resources, minimizing environmental impact.
  • Infrastructure Longevity: Enables early detection and intervention, extending the lifespan of steel structures and reducing material waste.
  • Safety Enhancement: Improves worker safety by reducing the need for manual inspections in hazardous areas.
  • Cost Reduction: Lowers maintenance costs through efficient and accurate inspections, allowing for better allocation of resources.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Promotes resilient infrastructure through innovative maintenance techniques.
  • SDG 11 (Sustainable Cities and Communities): Enhances the safety and sustainability of urban infrastructure.
  • SDG 12 (Responsible Consumption and Production): Supports efficient use of resources in infrastructure maintenance.

Geographic Focus: Japan

Industry Focus: Infrastructure, Construction

Source: DroneLife

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

The inclusion of experts on this website or in any professional directory on this website does not imply recommendation or endorsement of such expert nor is such information intended as a tool for verifying the credentials, qualifications, or abilities of any expert contained therein.

All information on this website is provided on an “as-is” basis and the Company disclaims all warranties, either express or implied, including but not limited to the implied warranties of merchantability and fitness for particular purpose as to the results you may achieve on account your use of this website, as to the results you may achieve on account of any relationship you elect to create with an expert. The Company does not make any representations or warranties regarding any expert, including but not limited to, any expert’s ability to obtain a favorable result for you. The Company does not guaranty in any services or goods associated with this website will be error-free or uninterrupted, or that any service or good will continue to be available. Any material downloaded or otherwise obtained through the use of the service is done at your own discretion and risk and that you will be solely responsible for any damage to your computer system or loss of data that results from the download of any such material. No information, whether oral or written, obtained by you from the Company or through or from this website shall create any warranty not expressly stated.

Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

AI-Powered Fraud Investigations – Enhancing Financial Security and Compliance

AI-Powered Fraud Investigations – Enhancing Financial Security and Compliance

In a significant move to bolster financial institutions’ fraud management capabilities, NICE Actimize, a leading provider of fraud management software, has unveiled an innovative AI-powered fraud investigations solution. This cutting-edge tool is designed to revolutionize the end-to-end fraud management process, from initial detection to comprehensive investigation, offering a streamlined approach that promises to save financial institutions both time and money.

The newly launched solution seamlessly integrates with NICE Actimize’s existing IFM Fraud Management Platform, leveraging the power of generative AI to automate complex workflows. This integration aims to empower banks to address customer concerns more efficiently and meet regulatory timelines with greater ease. By incorporating fraud-specific case management capabilities, the tool offers a holistic approach to fraud management that goes beyond mere detection.

One of the key features of this solution is its ability to streamline claims management and facilitate reimbursement processes. This not only enhances operational efficiency but also improves customer experience by ensuring quicker resolution of fraud-related issues. Additionally, the tool simplifies the process of filing suspicious activity reports (SARs), a critical component of regulatory compliance in the financial sector.

Craig Costigan, CEO of NICE Actimize, emphasized the importance of comprehensive fraud management, stating, “Fighting fraud and financial crime doesn’t just stop at the moment of detection. Fraud investigation results and decisions provide critical insights that can stop future fraudulent transactions.” This perspective underscores the tool’s potential to not only address current fraud incidents but also contribute to preventing future occurrences, thereby strengthening the overall security posture of financial institutions.

Technologies Used:

  • Generative AI: Powers the automation of complex fraud investigation workflows, enhancing efficiency and accuracy.
  • IFM Fraud Management Platform: Serves as the foundation for comprehensive fraud detection and management.

Companies Involved:

  • NICE Actimize: The primary company behind the development and launch of the AI-powered fraud investigations solution.

Sustainability Focus:

  • Operational Efficiency: Automates and streamlines fraud management processes, reducing resource consumption and improving productivity.
  • Customer Protection: Enhances the ability to detect and prevent fraudulent activities, safeguarding customers’ financial assets.
  • Regulatory Compliance: Simplifies the process of meeting regulatory requirements, including SAR filing, contributing to a more robust financial system.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Promotes technological innovation in the financial sector, enhancing the resilience of financial infrastructure.
  • SDG 16 (Peace, Justice and Strong Institutions): Contributes to reducing financial crime and promoting transparent, accountable financial institutions.

Geographic Focus: Global

Industry Focus: Financial Services, Technology

Source: Corporate Compliance Insights

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

The inclusion of experts on this website or in any professional directory on this website does not imply recommendation or endorsement of such expert nor is such information intended as a tool for verifying the credentials, qualifications, or abilities of any expert contained therein.

All information on this website is provided on an “as-is” basis and the Company disclaims all warranties, either express or implied, including but not limited to the implied warranties of merchantability and fitness for particular purpose as to the results you may achieve on account your use of this website, as to the results you may achieve on account of any relationship you elect to create with an expert. The Company does not make any representations or warranties regarding any expert, including but not limited to, any expert’s ability to obtain a favorable result for you. The Company does not guaranty in any services or goods associated with this website will be error-free or uninterrupted, or that any service or good will continue to be available. Any material downloaded or otherwise obtained through the use of the service is done at your own discretion and risk and that you will be solely responsible for any damage to your computer system or loss of data that results from the download of any such material. No information, whether oral or written, obtained by you from the Company or through or from this website shall create any warranty not expressly stated.

Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

AI Enhances Mammogram Reading in Regional Hospitals, Improving Cancer Detection

AI Enhances Mammogram Reading in Regional Hospitals, Improving Cancer Detection

In a significant advancement for healthcare technology and patient care, a group of regional hospitals has implemented artificial intelligence (AI) to assist in reading mammograms. This cutting-edge approach aims to improve the accuracy and efficiency of breast cancer detection, potentially leading to earlier diagnoses and better patient outcomes.

The AI system, developed by iCAD, Inc., has been integrated into the mammography workflow at several hospitals within a regional health network. This technology, known as ProFound AI, works alongside radiologists to analyze mammograms, helping to identify potential areas of concern that may require further investigation. By leveraging machine learning algorithms, the AI can detect subtle changes in breast tissue that might be overlooked by the human eye alone.

One of the key benefits of this AI implementation is its potential to reduce false positives and unnecessary callbacks, which can cause undue stress and anxiety for patients. Additionally, the technology may help address the shortage of specialized radiologists in certain areas, allowing for more efficient use of medical expertise and potentially reducing wait times for mammogram results.

This adoption of AI in mammogram reading represents a broader trend in healthcare towards leveraging advanced technologies to improve patient care and outcomes. As these systems continue to evolve and become more sophisticated, they have the potential to revolutionize early cancer detection and contribute to more personalized and effective treatment strategies.

Technologies Used:

  • ProFound AI: An artificial intelligence system developed by iCAD, Inc. for mammogram analysis. It assists radiologists in identifying potential abnormalities in breast tissue images.
  • Machine Learning Algorithms: Advanced computational techniques that allow the AI to analyze vast amounts of imaging data and improve its detection capabilities over time.

Companies Involved:

  • iCAD, Inc.: The developer of the ProFound AI technology used for mammogram reading in the hospitals.
  • Marshall Health Network: The regional health network implementing the AI technology in its member hospitals.

Sustainability Focus:

  • Healthcare Access: The AI technology potentially improves access to high-quality mammogram readings, especially in areas with limited specialist availability.
  • Resource Efficiency: By assisting radiologists, the AI system may help optimize the use of medical expertise and reduce wait times for results.
  • Patient Well-being: Earlier and more accurate detection of breast cancer can lead to improved patient outcomes and reduced anxiety from false positives.

SDGs Impacted:

  • SDG 3 (Good Health and Well-being): The AI technology contributes to improving healthcare quality and early disease detection, aligned with the goal of ensuring healthy lives for all.
  • SDG 9 (Industry, Innovation and Infrastructure): The implementation of AI in healthcare represents technological innovation in critical infrastructure.

Geographic Focus: United States

Industry Focus: Healthcare

Source: The Herald-Dispatch

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

The inclusion of experts on this website or in any professional directory on this website does not imply recommendation or endorsement of such expert nor is such information intended as a tool for verifying the credentials, qualifications, or abilities of any expert contained therein.

All information on this website is provided on an “as-is” basis and the Company disclaims all warranties, either express or implied, including but not limited to the implied warranties of merchantability and fitness for particular purpose as to the results you may achieve on account your use of this website, as to the results you may achieve on account of any relationship you elect to create with an expert. The Company does not make any representations or warranties regarding any expert, including but not limited to, any expert’s ability to obtain a favorable result for you. The Company does not guaranty in any services or goods associated with this website will be error-free or uninterrupted, or that any service or good will continue to be available. Any material downloaded or otherwise obtained through the use of the service is done at your own discretion and risk and that you will be solely responsible for any damage to your computer system or loss of data that results from the download of any such material. No information, whether oral or written, obtained by you from the Company or through or from this website shall create any warranty not expressly stated.

Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website.

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

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