Given the critical threat of climate change to our planet, an increasing number of businesses are now embracing innovative solutions in a concerted effort to mitigate this global challenge. IBM, a global leader in technology, is stepping up to this challenge with its pioneering work in geospatial artificial intelligence (AI).
Through its work in mapping urban heat islands, supporting reforestation efforts, and improving weather forecasting, IBM's partnerships with various esteemed institutions and governments globally demonstrate a dedicated use of technology for positive environmental impact. In this blog, we’ll be exploring some of IBM’s key projects and partnerships that exemplify their commitment to leveraging AI for a more sustainable future.
IBM is at the forefront of combating climate change through its partnerships with entities like Mohamed Bin Zayed University of Artificial Intelligence, the Government of Kenya, the UK's STFC Hartree Centre, and NASA. These collaborations are paving the way for projects focused on urban heat island mapping, reforestation, and enhancing climate resiliency in aviation and weather forecasting.
IBM, a global leader in technology, is making significant strides in addressing climate change through various collaborative initiatives using geospatial AI. These efforts span across regions and sectors, demonstrating the versatile application of AI in environmental sustainability.
Moving beyond IBM's collaborative projects, let's focus on the core technology at play: IBM's AI models. These models, enriched with extensive geospatial data such as satellite imagery, are subtly altering our approach to environmental challenges.
The practical application of these AI models extends across a range of critical tasks. They prove particularly useful in interpreting complex environmental data, which is essential for initiatives like analysing flood patterns or understanding the impact of forest fires.
What distinguishes these models is their proficiency in handling complex data to yield valuable insights. In scenarios like tackling urban heat in the UAE or aiding reforestation in Kenya, IBM’s AI models contribute to data-driven decision-making, albeit in a less conspicuous yet effective manner. Their capacity to manage and interpret large volumes of geospatial data is what subtly sets apart IBM’s approach in the realm of environmental research and initiatives.
In exploring IBM's innovative efforts, it becomes evident that the application of AI in environmental analysis is steadily evolving. This technological evolution is not only refining current strategies for environmental management but also laying the groundwork for future innovations in climate response and sustainability.
In a significant leap forward, IBM and NASA's Marshall Space Flight Center have embarked on a collaborative journey to harness the power of IBM's AI technology in deciphering the vast expanse of Earth and geospatial science data. This partnership is set to apply AI foundation model technology to NASA's Earth-observing satellite data for the first time, marking a groundbreaking step in the field of geospatial intelligence.
Foundation models, central to this collaboration, are trained on extensive sets of unlabelled data and can be utilised for a variety of tasks. These models have revolutionised the field of natural language processing (NLP) and are now being extended to Earth science applications. The goal is to expedite the process of extracting insights from massive datasets, thereby accelerating our scientific understanding of Earth and responses to climate-related issues.
One of the key projects involves training an IBM geospatial intelligence foundation model on NASA's Harmonised Landsat Sentinel-2 (HLS) dataset. This dataset encompasses a record of land cover and land use changes captured by Earth-orbiting satellites. By analysing petabytes of satellite data, this foundation model technology aims to provide critical analysis of environmental systems, including phenomena like natural disasters, crop yields, and wildlife habitats.
Additionally, this collaboration will generate an easily searchable corpus of Earth science literature, thanks to IBM's development of an NLP model trained on nearly 300,000 Earth science journal articles. This model, powered by IBM's PrimeQA, is expected to be a valuable resource for researchers and may also be integrated into NASA's scientific data management processes.
The collaboration between IBM and NASA emphasises the importance of teamwork across different organisations, bringing together diverse perspectives, resources, and skills to build foundation models that can be used for numerous downstream applications.
Raghu Ganti, principal researcher at IBM, highlights the potential of applying foundation models to various non-language factors within Earth science data. This approach can unlock valuable insights and information, benefiting a wide array of researchers, businesses, and citizens, and ultimately addressing some of the most pressing climate issues.
Furthermore, other potential joint projects in this agreement include constructing a foundation model for weather and climate prediction using the MERRA-2 dataset, a collection of atmospheric observations. This initiative is a part of NASA's Open-Source Science Initiative, which aims to foster an inclusive, transparent, and collaborative open science community.
To summarise, IBM and NASA's partnership is a monumental stride in the use of AI for weather and climate prediction. By harnessing the power of foundation models, this collaboration is poised to transform our ability to understand and respond to the challenges posed by climate change, making weather and climate modelling more accessible and efficient for the global research community.
IBM's journey in environmental sustainability is both deep-rooted and forward-thinking. The company's first corporate environmental policy statement dates back to 1971, underscoring its early recognition of the importance of ecological stewardship. Since 1990, IBM has been transparent in its environmental endeavours, consistently reporting its performance in key areas such as waste management, energy conservation, the use of renewable electricity, and the reduction of carbon dioxide emissions through its annual Corporate Environmental Report. This commitment was further emphasised when IBM publicly affirmed its position on climate change in 2007, advocating for global action to stabilise greenhouse gas concentrations in the atmosphere.
In recent years, IBM has taken bold steps to align its operations with environmental goals. In 2021, the company announced its intention to achieve net zero greenhouse gas emissions by 2030. This ambitious goal involves reducing its greenhouse gas emissions by 65% by 2025 (from the 2010 baseline), increasing the use of renewable electricity to 90% by 2030, and implementing feasible technologies like carbon capture to offset any residual emissions. This pledge places IBM at the forefront of corporate climate leadership, well ahead of the targets set by the Paris Climate Agreement.
Moreover, IBM is leveraging its expertise in science and technology to address major societal challenges related to climate change. Through its "Future of Climate" initiative, IBM Research is applying artificial intelligence, hybrid cloud, and quantum computing to tackle complex climate-related problems. This includes managing the global carbon footprint of cloud workloads and data centres, accurately modelling environmental risks, and developing materials that can capture carbon emissions at their source.
In addition to these technological initiatives, IBM is also deeply involved in social impact programs. The IBM Sustainability Accelerator focuses on advancing environmental sustainability by scaling innovative water solutions through technology and expertise. This program, along with IBM's commitment of $30 million in technology and services by 2025, is adding new projects aimed at water management, a critical area in the context of climate change. The IBM SkillsBuild platform further extends the company's impact by offering free training in green and technology skills, aiming to equip the next generation with the necessary tools for sustainability.
IBM's advocacy for environmental sustainability is a testament to its long-standing leadership in this area. The company's comprehensive approach, combining technological innovation with social and educational initiatives, positions it as a key player in shaping a more sustainable future.
In conclusion, IBM's journey in addressing climate change through geospatial AI is a testament to the potential of technology in creating a more sustainable future. From mapping urban heat islands in Abu Dhabi to supporting reforestation in Kenya and developing climate risk assessment tools in the UK, IBM has demonstrated a profound commitment to leveraging its technological prowess for environmental sustainability.
These efforts, coupled with the pioneering collaboration with NASA, illustrate how IBM is not just responding to climate challenges but actively shaping solutions that have a global impact. The deployment of AI foundation models in analysing Earth’s vast datasets underscores a significant advancement in our ability to understand and respond to the intricacies of our planet's climate system.
IBM's legacy in environmental advocacy, dating back over five decades, further reinforces the company's role as a leader in sustainability. Its ambitious goals, such as achieving net zero greenhouse gas emissions by 2030 and empowering the next generation through the IBM SkillsBuild platform, reflect a deep-seated commitment to environmental stewardship and innovation.
IBM's work in geospatial AI and environmental advocacy extends beyond corporate initiatives; they stand as valuable examples and guide others engaged in addressing climate change.". By continuing to push the boundaries of what is possible with technology, IBM is not only addressing the challenges of today but also paving the way for a greener, more sustainable world for future generations.
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