IBM Big Data Hub
AUGUST 22, 2023
When leveraging traditional ML and AI modeling technologies, you must carry out focused training for siloed AI models, which requires a lot of human supervised training. We can use this to scale the use of AI in identification of anomalies and damages on utility assets versus manually reviewing the image.
IBM Big Data Hub
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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IBM Big Data Hub
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. We also know that using AI requires vast amounts of energy and data.
CGI
MARCH 27, 2019
Utilities Digital Journey Insights (Part 5): Utilities decentralize organizational models to meet consumer needs. To gain the true value of digital transformation, utilities are embracing more dynamic and autonomous organizational structures that enable them to make decisions closer to the customer. Wed, 03/27/2019 - 03:33.
IBM Big Data Hub
MARCH 21, 2024
In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. High-performance computing systems Investing in high-performance computing systems tailored for AI accelerates model training and inference tasks.
Security Affairs
APRIL 2, 2023
These projects include tools, training programs, and a red team platform for exercising various types of offensive cyber operations, including cyber espionage, IO, and operational technology (OT) attacks.” The company was commissioned for the development of tools, training programs, and a hacking platform.
IBM Big Data Hub
MAY 9, 2023
Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. The emergence of transformers and self-supervised learning methods has allowed us to tap into vast quantities of unlabeled data, paving the way for large pre-trained models, sometimes called “ foundation models.”
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