IBM Unveils AI-Driven Software for Environmental Intelligence

October 12, 2021

ARMONK, N.Y.Oct. 12, 2021 — IBM today announced a suite of environmental intelligence software that leverages AI to help organizations prepare for and respond to weather and climate risks that may disrupt business, more easily assess their own impact on the planet, and reduce the complexity of regulatory compliance and reporting.

Companies are facing climate-related damage to their assets, disruptions to supply chains and operations, as well as increasing expectations from consumers and investors to perform as an environmental leader. Extreme weather, climate action failure and human-led environmental damage were cited as the top three most likely risks for businesses over the next ten years in the World Economic Forum’s “Global Risks Report 2021.” Businesses need actionable environmental insights to address these challenges, but current methods are often cumbersome and complex – requiring intensive manual labor, climate and data science skills, and computing power.

The IBM Environmental Intelligence Suite announced today aims to help companies streamline and automate the management of environmental risks and operationalize underlying processes, including carbon accounting and reduction, to meet environmental goals. The suite leverages existing weather data from IBM, the overall most accurate provider globally, advanced geospatial analytics already in use by companies around the world, and new innovations from IBM Research. The offering is the first to bring together AI, weather data, climate risk analytics, and carbon accounting capabilities in this way – allowing organizations to spend less resources curating this complex data, and more on analyzing it for insights and taking action to improve their operations.

IBM Environmental Intelligence Suite is a SaaS solution designed to help organizations:

  • Monitor for disruptive environmental conditions such as severe weather, wildfires, flooding and air quality and send alerts when detected;
  • Predict potential impacts of climate change and weather across the business using climate risk analytics;
  • Gain insights into potential operational disruptions and prioritize mitigation and response efforts;
  • Measure and report on environmental initiatives and operationalize carbon accounting, while reducing the burden of this reporting on procurement and operations teams.

The suite delivers environmental insights via APIs, dashboards, maps and alerts that can help companies address both immediate operational challenges as well as longer term planning and strategies. For instance, the suite could be used to help retailers prepare for severe weather-related shipping and inventory disruptions, or factor environmental risks into future warehouse locations; energy and utility companies to determine where to trim vegetation around power lines or which of their critical assets may soon be at greater risk from wildfires due to climate change. Or the suite could be used to help supermarkets get a clearer picture of how refrigeration systems are contributing to their overall greenhouse gas emissions and prioritize locations for improvement.

“The future of business and the environment are deeply intertwined. Not only are companies coping with the effects of extreme weather disruptions on their operations, they’re also being held increasingly accountable by shareholders and regulators for how their operations impact the planet,” said Kareem Yusuf, Ph.D., General Manager, IBM AI Applications. “IBM is bringing together the power of AI and hybrid cloud to provide businesses with environmental intelligence designed to help them improve environmental performance and reporting, create more efficient business operations to reduce resource consumption, and plan for resiliency in the face of climate disruptions.”

Companies around the world are already using many of the core weather and AI technologies found within IBM’s Environmental Intelligence Suite. For example, IBM environmental data and geospatial analytics are being used by Brazilian ethanol, bioelectricity and sugar company BP Bunge Bioenergia to help it better understand its agricultural sugarcane production and improve its market intelligence estimates regarding global sugar production and by agribusiness leader Cajamar to help Spanish farmers aiming to improve yields and reduce environmental impact via its digital Plataforma Tierra tool.

The IBM Environmental Intelligence Suite also takes advantage of AI-driven innovations from IBM Research that make it easier for climate and data scientists to analyze massive environmental datasets, and a new climate risk modeling framework used to generate data on future wildfire and flooding risks. Additionally, the suite will leverage unique technologies from IBM Research which apply natural language processing and automation designed to help companies estimate carbon emissions and identify opportunities to reduce them across their operations or with suppliers.

The Environmental Intelligence Suite can be integrated with IBM’s broader software portfolio for additional efficiencies across business operations – including IBM Maximo Application Suite to help companies protect and extend the lifecycle of their critical assets and  IBM Supply Chain Intelligence Suite to help build more sustainable and resilient supply chains.

Businesses can also tap into the cross-industry expertise of IBM Global Business Services to help design, implement and accelerate their environmental business transformation journeys. These strategies include reimagining operations, supply chains, emissions management, or ESG and climate risk reporting with the help of emerging technologies to assist organizations in meeting their environmental goals.

For more details on IBM Environmental Intelligence Suite, visit: ibm.biz/environmental-intelligence. To learn more about how innovations across IBM are helping clients seeking to create a more sustainable and resilient future, please visit: ibm.com/sustainability.

About IBM

IBM is the global leader in hybrid cloud and AI, serving clients in more than 170 countries. More than 3,200 clients use our hybrid cloud platform to accelerate their digital transformation journeys and, in total, more than 30,000 of them have turned to IBM to unlock value from their data — this client list includes nine out of ten of the world’s largest banks. With this foundation, we continue to leverage Red Hat OpenShift as the leading platform to address our clients’ business needs: A hybrid cloud platform that is open, flexible and secure. Guided by principles of trust, transparency and support for a more inclusive society, IBM also is committed to being a responsible steward of technology and a force for good in the world. For more information, visit: www.ibm.com.


Source: IBM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire