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.
Security Affairs
APRIL 2, 2023
Documents leaked from Russian IT contractor NTC Vulkan show it was likely involved in the development of offensive tools. The documents demonstrate that it also developed hacking tools for the Russia-linked APT group Sandworm. The company was commissioned for the development of tools, training programs, and a hacking platform.
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IBM Big Data Hub
JANUARY 26, 2024
Maintenance workers need to consume a lot of energy to check up the equipment data to understand and learn new skills, resulting in not only low maintenance efficiency, but also leading to a decline in employee satisfaction and loyalty.
eSecurity Planet
APRIL 7, 2023
It’s a good idea to try things on your own and then read the documentation or tutorials. You may use a VPN or install utilities to capture and forward traffic to other subnets, or configure proxychains. Is Kali Beginner-friendly? Kali is available for anyone. It’s free and open-source, so anyone can download it.
IBM Big Data Hub
JULY 27, 2023
The oil and gas industry remains an integral part of the energy landscape, but it faces a number of modern challenges, including volatile market conditions, expanding environmental regulations and the growing need for operational efficiency. It also benefits from advanced asset management software, like IBM Maximo.
eSecurity Planet
AUGUST 10, 2023
The goal of this threat intelligence community is to share useful threat information back and forth: Private sector leaders can benefit from access to FBI insider knowledge, training, and best practices, while the FBI and other governmental bodies gain additional eyes on different areas of U.S. critical infrastructure.
Role Model Software
JUNE 14, 2021
We are certainly not against “machine learning” but the reality is that computers need to be trained, too. However, the subtle variations in the unstructured data require massive amounts of training data for machine learning (ML) models to begin to recognize and separate the noise. Without a controlled set of patterns?—?and
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