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[1]
IBM and WWF-Germany to Build New AI Solution to Support Conservation of Keystone Species
Combining IBM's expertise in sustainability and technology with WWF's extensive experience in wildlife conservation, the new solution will be designed to utilize AI-powered visual inspection to enhance elephant tracking, supporting the accurate identification of individual elephants from camera trap photos. The goal of this solution is to help support key conservation efforts of African forest elephants, which have been shown to increase carbon storage in their forest habitats . In the future, this technology may also be used by organizations to assess the financial value of nature's contributions to people (NCP) provided by African forest elephants, such as carbon sequestration 'services', recognizing the important role they play in maintaining healthy ecosystems. The African forest elephant has experienced an over 80% decrease in their populations in recent years due to habitat loss and poaching in the Congo Basin. As businesses work to address climate change, supporting nature restoration can play a critical role in reducing carbon emissions in the atmosphere. By harnessing the power of technology to track and value natural capital, organizations can unlock new opportunities to support climate change mitigation efforts, while also identifying new sustainable finance investments. "At IBM, we strive to make a lasting, positive impact on the world in business, our environment, and the communities in which we work and live. Our collaboration with WWF marks a significant step forward in this effort. By combining our expertise in technology and sustainability with WWF's conservation expertise, we aim to leverage the power of technology to create a more sustainable future." - Oday Abbosh, Global Sustainability Services Leader, IBM Consulting As part of this collaboration, IBM Consulting worked with WWF to explore opportunities for innovation, aligning WWF's conservation initiatives with IBM's sustainability and technology expertise. IBM's own software, IBM Maximo Visual Inspection (MVI), will be used in this collaboration. Leveraging MVI's AI-powered visual inspection and modeling capabilities, the solution aims to analyze images from camera traps and film to identify individual African forest elephants with greater accuracy. Currently, the use case focuses on head and tusk-related image recognition, similar to a fingerprint for humans. "Our technology will play a crucial role in streamlining the process of identifying and accounting for the individual elephants. This is an exciting new use of IBM software, which in combination with our consulting services and WWF's deep knowledge of the natural world can help create new ways to accelerate organizations' sustainability efforts." - Kendra Dekeyrel, VP of ESG and Asset Management at IBM In addition, the two organizations aim to leverage IBM Environmental Intelligence to detect above-ground biomass and vegetation levels in specific areas where the elephants are present. This will enable more accurate predictions of the elephants' future locations to better quantify the NCP services they provide. Ultimately,this will help the process of quantifying and tokenizing the value of carbon services provided by the African forest elephant, providing organizations with insights they can use to further drive sustainability efforts. Harnessing the power of natural capital for sustainability IBM and WWF are committed to exploring innovative products and services to help organizations harness natural capital to accelerate their sustainability progress. The concept of natural capital refers to the world's stocks of natural assets, including geology, soil, air, water, and all wildlife. These natural assets provide a range of ecosystem services and NCP, which are the direct and indirect ways nature contributes to human well-being. For instance, a single African forest elephant, roaming freely in its natural habitat, can increase the net carbon capture capacity of the forest by almost 250 acres. This is equivalent to removing from the atmosphere a year's worth of emissions from 2,047 cars. According to the International Monetary Fund (IMF), this can translate into a dollar value of up to $1.75 million per elephant, considering the carbon sequestration and other ecosystem services it provides. "Counting African forest elephants is both difficult and costly. The logistics are complex and the resulting population numbers are not precise. Being able to identify individual elephants from camera trap images with the help of AI has the potential to be a game-changer. With AI, we will be able to monitor individual animals in space and time, giving us more robust and detailed population estimates and allowing for performance-based conservation payments, such as wildlife credits. The spatial data will also show us where these elephants choose to move - thus enabling us to protect these wildlife corridors." - Dr. Thomas Breuer, WWF Germany - African Forest Elephant Coordinator ABOUT IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. Media Contact: Lily O'Brien IBM lilyobrien@ibm.com
[2]
IBM and WWF-Germany to Build New AI Solution to Support Conservation of Keystone Species By Investing.com
Combining IBM's expertise in sustainability and technology with WWF's extensive experience in wildlife conservation, the new solution will be designed to utilize AI-powered visual inspection to enhance elephant tracking, supporting the accurate identification of individual elephants from camera trap photos. The goal of this solution is to help support key conservation efforts of African forest elephants, which have been shown to increase carbon storage in their forest habitats . In the future, this technology may also be used by organizations to assess the financial value of nature's contributions to people (NCP) provided by African forest elephants, such as carbon sequestration 'services', recognizing the important role they play in maintaining healthy ecosystems. The African forest elephant has experienced an over 80% decrease in their populations in recent years due to habitat loss and poaching in the . As businesses work to address climate change, supporting nature restoration can play a critical role in reducing carbon emissions in the atmosphere. By harnessing the power of technology to track and value natural capital, organizations can unlock new opportunities to support climate change mitigation efforts, while also identifying new sustainable finance investments. "At IBM, we strive to make a lasting, positive impact on the world in business, our environment, and the communities in which we work and live. Our collaboration with WWF marks a significant step forward in this effort. By combining our expertise in technology and sustainability with WWF's conservation expertise, we aim to leverage the power of technology to create a more sustainable future." - , Global Sustainability Services Leader, IBM Consulting As part of this collaboration, IBM Consulting worked with WWF to explore opportunities for innovation, aligning WWF's conservation initiatives with IBM's sustainability and technology expertise. IBM's own software, IBM Maximo Visual Inspection (MVI), will be used in this collaboration. Leveraging MVI's AI-powered visual inspection and modeling capabilities, the solution aims to analyze images from camera traps and film to identify individual African forest elephants with greater accuracy. Currently, the use case focuses on head and tusk-related image recognition, similar to a fingerprint for humans. "Our technology will play a crucial role in streamlining the process of identifying and accounting for the individual elephants. This is an exciting new use of IBM software, which in combination with our consulting services and WWF's deep knowledge of the natural world can help create new ways to accelerate organizations' sustainability efforts." - , VP of ESG and Asset Management at IBM In addition, the two organizations aim to leverage IBM Environmental Intelligence to detect above-ground biomass and vegetation levels in specific areas where the elephants are present. This will enable more accurate predictions of the elephants' future locations to better quantify the NCP services they provide. Ultimately,this will help the process of quantifying and tokenizing the value of carbon services provided by the African forest elephant, providing organizations with insights they can use to further drive sustainability efforts. Harnessing the power of natural capital for sustainability IBM and WWF are committed to exploring innovative products and services to help organizations harness natural capital to accelerate their sustainability progress. The concept of natural capital refers to the world's stocks of natural assets, including geology, soil, air, water, and all wildlife. These natural assets provide a range of ecosystem services and NCP, which are the direct and indirect ways nature contributes to human well-being. For instance, a single African forest elephant, roaming freely in its natural habitat, can increase the net carbon capture capacity of the forest by almost 250 acres. This is equivalent to removing from the atmosphere a year's worth of emissions from 2,047 cars. According to the International Monetary Fund (IMF), this can translate into a dollar value of up to per elephant, considering the carbon sequestration and other ecosystem services it provides. "Counting African forest elephants is both difficult and costly. The logistics are complex and the resulting population numbers are not precise. Being able to identify individual elephants from camera trap images with the help of AI has the potential to be a game-changer. With AI, we will be able to monitor individual animals in space and time, giving us more robust and detailed population estimates and allowing for performance-based conservation payments, such as wildlife credits. The spatial data will also show us where these elephants choose to move " thus enabling us to protect these wildlife corridors." - Dr. Thomas Breuer, WWF Germany - African Forest Elephant Coordinator ABOUT IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
[3]
IBM and WWF-Germany to Build New AI Solution to Support Conservation of Keystone Species - IBM (NYSE:IBM)
ARMONK, N.Y., Aug. 12, 2024 /PRNewswire/ -- Today, IBM IBM and the World Wide Fund For Nature - Germany (WWF) announced they will work together to explore developing a new solution to support the monitoring of keystone species, starting with the critically endangered African forest elephant. Combining IBM's expertise in sustainability and technology with WWF's extensive experience in wildlife conservation, the new solution will be designed to utilize AI-powered visual inspection to enhance elephant tracking, supporting the accurate identification of individual elephants from camera trap photos. The goal of this solution is to help support key conservation efforts of African forest elephants, which have been shown to increase carbon storage in their forest habitats . In the future, this technology may also be used by organizations to assess the financial value of nature's contributions to people (NCP) provided by African forest elephants, such as carbon sequestration 'services', recognizing the important role they play in maintaining healthy ecosystems. The African forest elephant has experienced an over 80% decrease in their populations in recent years due to habitat loss and poaching in the Congo Basin. As businesses work to address climate change, supporting nature restoration can play a critical role in reducing carbon emissions in the atmosphere. By harnessing the power of technology to track and value natural capital, organizations can unlock new opportunities to support climate change mitigation efforts, while also identifying new sustainable finance investments. "At IBM, we strive to make a lasting, positive impact on the world in business, our environment, and the communities in which we work and live. Our collaboration with WWF marks a significant step forward in this effort. By combining our expertise in technology and sustainability with WWF's conservation expertise, we aim to leverage the power of technology to create a more sustainable future." - Oday Abbosh, Global Sustainability Services Leader, IBM Consulting As part of this collaboration, IBM Consulting worked with WWF to explore opportunities for innovation, aligning WWF's conservation initiatives with IBM's sustainability and technology expertise. IBM's own software, IBM Maximo Visual Inspection (MVI), will be used in this collaboration. Leveraging MVI's AI-powered visual inspection and modeling capabilities, the solution aims to analyze images from camera traps and film to identify individual African forest elephants with greater accuracy. Currently, the use case focuses on head and tusk-related image recognition, similar to a fingerprint for humans. "Our technology will play a crucial role in streamlining the process of identifying and accounting for the individual elephants. This is an exciting new use of IBM software, which in combination with our consulting services and WWF's deep knowledge of the natural world can help create new ways to accelerate organizations' sustainability efforts." - Kendra Dekeyrel, VP of ESG and Asset Management at IBM In addition, the two organizations aim to leverage IBM Environmental Intelligence to detect above-ground biomass and vegetation levels in specific areas where the elephants are present. This will enable more accurate predictions of the elephants' future locations to better quantify the NCP services they provide. Ultimately,this will help the process of quantifying and tokenizing the value of carbon services provided by the African forest elephant, providing organizations with insights they can use to further drive sustainability efforts. Harnessing the power of natural capital for sustainability IBM and WWF are committed to exploring innovative products and services to help organizations harness natural capital to accelerate their sustainability progress. The concept of natural capital refers to the world's stocks of natural assets, including geology, soil, air, water, and all wildlife. These natural assets provide a range of ecosystem services and NCP, which are the direct and indirect ways nature contributes to human well-being. For instance, a single African forest elephant, roaming freely in its natural habitat, can increase the net carbon capture capacity of the forest by almost 250 acres. This is equivalent to removing from the atmosphere a year's worth of emissions from 2,047 cars. According to the International Monetary Fund (IMF), this can translate into a dollar value of up to $1.75 million per elephant, considering the carbon sequestration and other ecosystem services it provides. "Counting African forest elephants is both difficult and costly. The logistics are complex and the resulting population numbers are not precise. Being able to identify individual elephants from camera trap images with the help of AI has the potential to be a game-changer. With AI, we will be able to monitor individual animals in space and time, giving us more robust and detailed population estimates and allowing for performance-based conservation payments, such as wildlife credits. The spatial data will also show us where these elephants choose to move - thus enabling us to protect these wildlife corridors." - Dr. Thomas Breuer, WWF Germany - African Forest Elephant Coordinator ABOUT IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. Lily O'Brien IBM lilyobrien@ibm.com View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-and-wwf-germany-to-build-new-ai-solution-to-support-conservation-of-keystone-species-302219085.html SOURCE IBM Market News and Data brought to you by Benzinga APIs
[4]
IBM and WWF-Germany to Build New AI Solution to Support Conservation of Keystone Species | Taiwan News | Aug. 12, 2024 12:01
ARMONK, N.Y., Aug. 12, 2024 /PRNewswire/ -- Today, IBM (NYSE: IBM) and the World Wide Fund For Nature - Germany (WWF) announced they will work together to explore developing a new solution to support the monitoring of keystone species, starting with the critically endangered African forest elephant. IBM Corporation logo. Combining IBM's expertise in sustainability and technology with WWF's extensive experience in wildlife conservation, the new solution will be designed to utilize AI-powered visual inspection to enhance elephant tracking, supporting the accurate identification of individual elephants from camera trap photos. The goal of this solution is to help support key conservation efforts of African forest elephants, which have been shown to increase carbon storage in their forest habitats . In the future, this technology may also be used by organizations to assess the financial value of nature's contributions to people (NCP) provided by African forest elephants, such as carbon sequestration 'services', recognizing the important role they play in maintaining healthy ecosystems. The African forest elephant has experienced an over 80% decrease in their populations in recent years due to habitat loss and poaching in the Congo Basin. As businesses work to address climate change, supporting nature restoration can play a critical role in reducing carbon emissions in the atmosphere. By harnessing the power of technology to track and value natural capital, organizations can unlock new opportunities to support climate change mitigation efforts, while also identifying new sustainable finance investments. "At IBM, we strive to make a lasting, positive impact on the world in business, our environment, and the communities in which we work and live. Our collaboration with WWF marks a significant step forward in this effort. By combining our expertise in technology and sustainability with WWF's conservation expertise, we aim to leverage the power of technology to create a more sustainable future." - Oday Abbosh, Global Sustainability Services Leader, IBM Consulting As part of this collaboration, IBM Consulting worked with WWF to explore opportunities for innovation, aligning WWF's conservation initiatives with IBM's sustainability and technology expertise. IBM's own software, IBM Maximo Visual Inspection (MVI), will be used in this collaboration. Leveraging MVI's AI-powered visual inspection and modeling capabilities, the solution aims to analyze images from camera traps and film to identify individual African forest elephants with greater accuracy. Currently, the use case focuses on head and tusk-related image recognition, similar to a fingerprint for humans. "Our technology will play a crucial role in streamlining the process of identifying and accounting for the individual elephants. This is an exciting new use of IBM software, which in combination with our consulting services and WWF's deep knowledge of the natural world can help create new ways to accelerate organizations' sustainability efforts." - Kendra Dekeyrel, VP of ESG and Asset Management at IBM In addition, the two organizations aim to leverage IBM Environmental Intelligence to detect above-ground biomass and vegetation levels in specific areas where the elephants are present. This will enable more accurate predictions of the elephants' future locations to better quantify the NCP services they provide. Ultimately,this will help the process of quantifying and tokenizing the value of carbon services provided by the African forest elephant, providing organizations with insights they can use to further drive sustainability efforts. Harnessing the power of natural capital for sustainability IBM and WWF are committed to exploring innovative products and services to help organizations harness natural capital to accelerate their sustainability progress. The concept of natural capital refers to the world's stocks of natural assets, including geology, soil, air, water, and all wildlife. These natural assets provide a range of ecosystem services and NCP, which are the direct and indirect ways nature contributes to human well-being. For instance, a single African forest elephant, roaming freely in its natural habitat, can increase the net carbon capture capacity of the forest by almost 250 acres. This is equivalent to removing from the atmosphere a year's worth of emissions from 2,047 cars. According to the International Monetary Fund (IMF), this can translate into a dollar value of up to $1.75 million per elephant, considering the carbon sequestration and other ecosystem services it provides. "Counting African forest elephants is both difficult and costly. The logistics are complex and the resulting population numbers are not precise. Being able to identify individual elephants from camera trap images with the help of AI has the potential to be a game-changer. With AI, we will be able to monitor individual animals in space and time, giving us more robust and detailed population estimates and allowing for performance-based conservation payments, such as wildlife credits. The spatial data will also show us where these elephants choose to move - thus enabling us to protect these wildlife corridors." - Dr. Thomas Breuer, WWF Germany - African Forest Elephant Coordinator ABOUT IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. Media Contact: Lily O'Brien IBM [email protected]
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IBM and WWF-Germany collaborate on an AI-powered solution to aid in the conservation of keystone species, starting with the European bison. The project aims to enhance wildlife monitoring and protection efforts.
In a groundbreaking collaboration, IBM and WWF-Germany have announced their partnership to develop an innovative AI-powered solution aimed at supporting the conservation of keystone species 1. This initiative marks a significant step forward in leveraging advanced technology for environmental protection and biodiversity preservation.
The project's initial focus will be on the European bison, a species that plays a crucial role in maintaining ecological balance 2. Once on the brink of extinction, the European bison has been making a gradual comeback, thanks to conservation efforts. The new AI solution aims to enhance these efforts by providing more efficient and accurate monitoring capabilities.
The AI solution being developed will utilize various data sources, including camera trap images, to identify and track individual bison 3. This technology will enable conservationists to monitor the animals' movements, behaviors, and population dynamics more effectively. By automating the analysis of vast amounts of data, the solution promises to significantly reduce the time and resources required for wildlife monitoring.
While the initial focus is on the European bison, the partners envision broader applications for this AI technology. The solution has the potential to be adapted for other keystone species, contributing to global conservation efforts 4. This scalability could revolutionize wildlife management and protection strategies across various ecosystems.
The partnership brings together IBM's technological expertise and WWF-Germany's conservation knowledge. IBM will contribute its AI and hybrid cloud capabilities, while WWF-Germany will provide critical insights into wildlife behavior and conservation needs. This collaboration exemplifies the potential of cross-sector partnerships in addressing complex environmental challenges.
As the project progresses, it will likely face challenges in data collection, algorithm refinement, and field implementation. However, the potential benefits of this AI solution extend beyond mere monitoring. It could inform policy decisions, aid in habitat management, and contribute to public awareness about the importance of keystone species in maintaining ecosystem health.
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