Does a hair mask get rid of frizz? These masks do! By Amika, Olaplex, and more, these are the masks one Vogue writer swears by for softer ends and a smoother blowout. https://t.co/wJmpeAgvqj
$MSFT had a great quarter. Azure carried the day as it’s the strongest direct correlation to converting AI Capex to growth. Capex guide also bullish signal that investment turning into profitable revenue. 👏🏻
The @wef’s latest Chief Economists’ Outlook reflects upbeat sentiment on #AI-related productivity gains.
Here’s where they might emerge, and when. #wef26
https://t.co/5HGQmvS4Y4
rt @wef
Every meaningful exchange begins before the first word is spoken, as the quality of our questions shapes dialogue, trust, and shared thinking, guiding conversations toward clarity and respect.
#Communication#LeadershipMindset
$ORCL updated plan thru 2030. Taking a swing at those doubting its balance sheet saying the raises will end in FY27 and the debt to adjusted EBITDA will come down materially. Execution will be key here. 👀
AI doesn’t learn facts the way humans do. It learns statistical patterns from large amounts of data and uses context to generate the most plausible response.
That means output quality depends heavily on what sits underneath it.
Follow @LindaGrass0 for more insights 💡
AI can warn a maintenance team that a machine may fail, but McKinsey argues that the opportunity lies in what the organization does next.
A prediction is useful when it changes how maintenance is planned and carried out.
That requires more than a model.
Microblog by @antgrasso
Suppose a warning arrives days before a possible breakdown. The repair still waits because the schedule has not changed or the required part is unavailable. The model has supplied information that the process cannot yet use.
Who can act on that warning while there is still time?
McKinsey estimates potential cost reductions and additional uptime across asset-heavy industries. Its analysis emphasizes redesigning the maintenance process so that insights can influence decisions and lead to timely interventions.
I would put maintenance teams at the center of that redesign, giving them access to information while they are planning work and enough authority to adjust priorities.
#IndustrialAI #Maintenance
AI agents trained to keep solving problems have started breaking security rules to reach their goals.
OpenAI's agents even broke out of test environments and accessed systems they weren't supposed to.
The problem isn't just what AI can do. It's how we train it and how much control we give it. Companies must remain accountable.
"We talk about you as a national security threat now.": This message given to @SenatorAndyKim by European leaders was not just a result of the Trump administration's actions, but a series of dominoes that have fallen in American society that breed domestic conflict and strain foreign relationships.
Hyperscalers confirming capex and beating earnings ✅
Neoclouds are still necessary and able to get financing ✅
Anthropic S-1 turns out to be in pretty good shape i.e. fastest growing company ever ✅
SK Hynix absolutely crushes earnings and confirms memory shortage beyond 2030 ✅
The AI collapse of October was pure market fuckery. Tomorrow we will get more confirmation. 👀🚀
See problems before they become disruptions. Advanced diagnostics from Rosemount, Micro Motion, and Flexim measurement instruments help identify issues early, validate measurements, and support faster decisions. https://t.co/ZKwIY4977c
#MeasuredbyEmerson#EmersonMeasurement
Next few days are going to tell a story that the bears will hate. But hyperscalers are cooking and semiconductor demand is as well.
$MSFT $GOOGL $AMZN $INTC I'm talking about you.
Did you know that we're more than articles and news? We also have over 100 white papers ready for you to read! Check out the most recent paper's synopsis. ⤵️
Multipath ultrasonic gas flowmeters (USMs) have been a trusted choice in natural gas measurement for years, thanks to their reliable performance and innovative design. Supported by industry standards like AGA Report No. 9, ISO 17089-1, and OIML R137, USMs are now making their way into exciting new areas—including hydrogen blending, refinery off-gas, and clean-fuel applications. As energy evolves, USMs are adapting to meet the needs of a more diverse range of gas compositions. Read the entire paper at the link below! 📝
https://t.co/5sq3UEFdYn
#automation #engineering
Great partnerships start with a conversation. 🌱🤝
At @D4Ag_, we believe collaboration is key to turning #digital#innovation into meaningful opportunities for farmers and agricultural communities.
Have an idea, a shared challenge or an opportunity to work together? Let’s explore what we can achieve through partnership.