This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Energy, utilities, and water – Threat actors have been targeting the most crucial elements in this critical infrastructure industry, mandating enhanced cybersecurity controls. Traditionally, plant machinery and equipment have been designed for performance and not security. must be addressed.
Part 2 of this four-part series discusses the complex tasks energyutility 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.
Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. regulations, undergoing digital transformation and the need for cost-cutting. What’s at stake?
AI and machine learning applications in e-Mobility Optimizing EV charging schedules: AI leverages real-time data and dynamically adjusts charging schedules to capitalize on periods of reduced energy demand and lower costs. A pivotal challenge in e-Mobility is efficient energyutilization. Protecting this data is paramount.
We organize all of the trending information in your field so you don't have to. Join 19,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content