IBM Journey to AI blog

APRIL 12, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management.

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insideBIGDATA

JANUARY 24, 2023

Today, d-Matrix, a leader in high-efficiency AI-compute and inference processors, announced Jayhawk, an Open Domain-Specific Architecture (ODSA) Bunch of Wires (BoW) based chiplet platform for energy efficient die-die connectivity over organic substrates.

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IBM Journey to AI blog

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The asset management maturity journey Utility companies can view the evolution of asset management as a journey to a level of asset management excellence.

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Dataconomy

MARCH 19, 2024

The telecom industry is very energy-dependent, and most of the emphasis in recent years has been on technological innovation to do with speed and connectivity. ESG and the Greenhouse Gas Protocol (GHG Protocol) The Greenhouse Gas (GHG) Protocol is an important framework that helps companies measure and manage their greenhouse gas emissions.

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IBM Data Science in Practice

FEBRUARY 2, 2023

Energy is the biggest contributor to environmental pollution. With most companies having the objective of becoming carbon-free, they are making extra efforts to reduce the amount of energy usage in many aspects. In this article, I used the data set “ Chiller Energy ” from Kaggle, to predict the amount of energy consumed in a building.

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IBM Journey to AI blog

APRIL 22, 2024

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management.

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Data Science Connect

JULY 26, 2023

Preventing Environmental Harm from Cyber-Threats Cyber-attacks can have physical consequences, especially in industries that manage critical infrastructure. Ensuring the Security of Renewable Energy Infrastructure As the world transitions to renewable energy sources, securing the digital infrastructure of these technologies is vital.

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Hacker News

SEPTEMBER 26, 2023

. | Image: Chona Kasinger / Bloomberg via Getty Images Microsoft thinks next-generation nuclear reactors can power its data centers and AI ambitions, according to a job listing for a principal program manager who’ll lead the company’s nuclear energy strategy. Nuclear energy doesn’t create greenhouse gas emissions.

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IBM Journey to AI blog

FEBRUARY 29, 2024

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. What is renewable energy? trillion in 2023. trillion in 2023.

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Dataconomy

FEBRUARY 12, 2024

The lifecycle of AI technologies—from inception and operational use to eventual obsolescence—exacts a substantial environmental toll, marked by extensive energy consumption and carbon emissions. AI stands at the forefront of technological evolution, yet its capacity for change is shadowed by an essential query: is AI green?

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Data Science Dojo

MARCH 20, 2024

Whether it’s adapting to dynamic information, customizing linguistic styles, managing data requirements, or ensuring domain-specific performance, each approach has its unique advantages. Let’s use the same query example from the basic RAG explanation: “What’s the latest breakthrough in renewable energy?”,

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Hacker News

NOVEMBER 15, 2023

In an era where the costs for cloud services continue to soar, I want to outline how our data team has successfully managed to run the infrastructure of our energy trading company within the first year using only two PostgreSQL database instances - each equipped with just two CPU cores and four GB of RAM.

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Dataconomy

AUGUST 14, 2023

Renewable energy integration One of the standout features of Sparck Technologies is its use of renewable energy sources. They have taken significant strides in integrating renewable energy into their operations. Such initiatives underscore their commitment to renewable energy integration and set them apart in the tech industry.

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Dataconomy

JANUARY 2, 2024

Now, let’s break down what is climate tech by looking at the cool things it does: Renewable Energy: Imagine using technology to capture energy from the sun, wind, or even the Earth’s heat. That’s what is climate tech doing in the renewable energy space. That’s what is climate tech doing with CCS.

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IBM Journey to AI blog

MARCH 8, 2024

In a warming world, the transition from fossil fuels to renewable energy is heating up. Global capacity for renewable power generation is expanding more quickly than at any time in the last thirty years, according to the International Energy Agency (IEA). And by 2028, 68 countries will boast renewables as their main source of power.

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Smart Data Collective

SEPTEMBER 19, 2023

On the other hand, data centers have large carbon footprints, so companies need to find ways to make them more energy efficient. billion – but as powerful for resources management and bolstering security as DC facilities are, they’re also very harmful to our environment. from 2021 to 2027. and a Water Usage Effectiveness (WUE) of 0.20.

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Dataconomy

AUGUST 1, 2023

When electrons flow through a typical conductive material, they encounter obstacles in the form of atoms, leading to resistance, which results in heat dissipation and energy loss. This lack of resistance leads to near-perfect energy transmission. Superconductivity, however, offers a fascinating phenomenon.

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IBM Journey to AI blog

APRIL 22, 2024

Therefore, it is critical to design and manage systems sustainably. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data. IBM is focused on developing energy-efficient methods to train, tune and run AI models, such as its own Granite foundation models.

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IBM Journey to AI blog

OCTOBER 17, 2023

They are also trying alternate fuels, which come with their own challenges of alternate fuel availability, and the ability to manage processes with fuel-mixes. Higher variability in processes and operations results in higher specific energy consumption (SEC) and higher emissions.

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IBM Journey to AI blog

DECEMBER 15, 2023

Recycling programs, renewable energy sources, waste reduction and energy efficiency—all these things in theory can contribute to better environmental footprint. Improving efficiency of energy management Organizations can start to build their sustainability efforts through adopting more efficient energy sources.

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Smart Data Collective

MARCH 21, 2022

Building management systems (BMS) do not, however, leverage the data from their smart buildings. Buildings consume around 42% of the energy of the world. In addition, facility managers are under pressure to improve the performance of their buildings and reduce environmental pollution. Facility managers do not have enough time.

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Data Science Connect

JANUARY 27, 2023

Data management is crucial for any organization that wants to stay competitive in today’s fast-paced business world. To effectively and securely manage this data, organizations must implement IoT data management strategies. Use IoT data management to make more data-driven decisions and streamline processes.

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IBM Journey to AI blog

MARCH 25, 2024

Financial markets might reprice shares in some carbon-intensive sectors by favoring renewable energy over fossil fuels. When firms are trading energy, for example, they can forecast renewable electricity generation based on predicted solar and wind patterns. Customers can get paid faster because there’s no need to assess damage.

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Dataconomy

FEBRUARY 26, 2024

Consequently, the LPU excels in swiftly and efficiently managing language tasks , making it highly suitable for applications that require text interpretation or generation. This breakthrough has led to a system that not only surpasses conventional configurations in speed but also in cost-effectiveness and reduced energy use.

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DrivenData Labs

MARCH 26, 2024

These included country-wide datasets, like electricity interruptions tracked by Brazil's National Electric Energy Agency, as well as more regional information, like algal bloom sampling from Nebraska's Department of Environment and Energy. She also works as a project manager and UI/UX designer for an international company.

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ODSC - Open Data Science

OCTOBER 20, 2023

Utility companies are turning to machine learning to lower customers’ energy bills — and their own. Here’s how machine learning and AI are making power cheaper for companies and consumers to cut energy bills. Reducing Manufacturing Waste Sensors can measure the output and efficiency of individual machines within an energy facility.

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Dataconomy

OCTOBER 26, 2023

For years, the adoption of desalination was hampered by its high energy requirements. For thousands of years, we’ve added heat to the process to create simple distillation, which is an effective form of desalination, but one that comes at a high energy cost.

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Data Science Connect

JULY 24, 2023

Traditionally, these processes have been managed manually, with operators relying on experience and intuition to make decisions. By analyzing data on energy use, chemical consumption, and other factors, operators can identify areas where efficiency can be improved. However, the advent of big data is changing this landscape.

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IBM Journey to AI blog

JULY 25, 2023

New technologies are shaping the way we produce, distribute and consume energy. alone has installed nearly 10,000 electricity generation units, connected by more than 300,000 miles of transmission lines and capable of generating over a million megawatts of energy. Historically, the power grid has been a one-way street.

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Smart Data Collective

APRIL 21, 2022

One of the most significant is the solar energy sector. Smart Solar is the Future of Renewable Energy. Currently, the energy sector is undergoing significant transformations due to growing environmental issues. Photovoltaic solar energy can come with high unpredictability. The global smart solar market was worth over $8.5

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Dataconomy

AUGUST 29, 2023

Industrial IoT (IIoT) has transformed manufacturing processes, optimizing production, predictive maintenance, and supply chain management. Smart cities utilize IoT to enhance urban living by improving traffic flow, energy consumption, and public services. Interoperability and standardization are also critical considerations.

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Becoming Human

APRIL 19, 2024

From manufacturing plants to energy sectors, AI is driving efficiency, enhancing productivity, and unlocking new possibilities across various domains. Photo by Viktor Theo on Unsplash Energy Sector: In the energy sector, AI is revolutionizing asset management and predictive maintenance practices.

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Dataconomy

SEPTEMBER 11, 2023

In fact, this data collection management, which most popular algorithmically based social media applications have been using for a long time, may not be as evil as we think. This data can help fleet managers optimize routes, manage driver behavior, and maintain vehicles.

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IBM Data Science in Practice

JUNE 16, 2023

By Carolyn Saplicki and Erika Agostinelli As industries begin to utilize AI in Sustainability practices, the focus, thus far, has been on Asset Performance Management (APM). Additionally, we will highlight the importance of having a model management view in industry. Below is an overview of the manufacturing process.

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Smart Data Collective

JUNE 28, 2022

The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in the throes of the world’s first truly global energy crisis. Many factors are driving the demand for smart technology. The impact. Smart meters. The impact. The future.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Computationally resource-efficient coding is one technique that aims to reduce the amount of energy required to process a line of code and, as a result, aid companies in consuming less energy overall. Higher energy consumption Infrastructure-supporting applications with inefficient code uses more processing power.

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IBM Journey to AI blog

JUNE 28, 2023

IT teams are tasked with improving energy efficiency and reducing their overall carbon footprint and waste in data centers—on-premises or in the cloud. Turbonomic now tracks the energy consumption and carbon footprint of on-prem hosts and virtual machines (VMs) to help you put your sustainability goals into action.

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