Manufacturing and Data Superiority in 3 phases:
- Extracting insights from operational data for decisions.
- Using historical data to forecast trends.
- Implementing smart systems that self-adjust, optimizing operations based on continuous data feedback.
Rt @antgrasso
How can #MQTT connect #robotics with cloud-based #AI?
Explore how #EMQX and MuJoCo enable remote control of a simulated Microduck robot, laying the foundation for LLM-powered interactions.
Read the full blog: https://t.co/OyxDBzW6TZ
Capital One says its AI rollout now touches more than 3,000 enterprise applications.
That's not a pilot number. That's an org that has already decided AI governance is infrastructure, not a committee.
What does governance at that scale even look like at your company?
Same words, go and look. Two Railway notices, one for OpenAI, one for Anthropic, both said: go and look.
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Which emerging #technologies could shape the next decade?
The latest @wef Top 10 Emerging Technologies report, produced with @Frontiers, highlights 10 scientific advances set to influence energy, health, materials, food systems, #AI an ..
rt @wef
ModelOp counts agents in clouds. ModelOp Center 3.5 lists every AI agent inside Microsoft and Amazon, spend included.
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A 30 minute humanoid in a three hour lab means battery swaps or downtime.
Booster K1 Educational: 80 minutes at 0.4 m/s. Our guide argues runtime decides a teaching lab before compute does.
AI image
https://t.co/OGddUthgg0
Most people seem to have cells that crossed the placenta from their mother into their developing brain in utero, even if they're now in their 80s https://t.co/NPA7hu9jG2
See what happens when EyeMotion, ABB Robotics’ validated ecosystem vision system and PoWa come together.
The result? Physical AI in action, helping PoWa see, perceive and choose the right path in the physical world.
Seeing is believing!
The new ADIPEC Global Energy Report 2026 caught my attention: 22% of oil and gas insiders name AI-driven efficiency as a top commercial opportunity today, versus 27% in ten years.
A signal of changing business priorities.
Join > https://t.co/w9vnyE9fl5
@ADIPECOfficial Partner.
Another finding adds context: 81% of energy insiders expect AI-driven electricity demand to exceed current forecasts.
This creates a closer relationship between the energy and technology industries.
Energy companies need to understand how computing demand will evolve, and technology companies must understand the capacity and operating requirements of energy systems.
I find this mutual dependency particularly interesting because investment decisions in one industry will increasingly affect the other.
ADIPEC 2026, taking place from 2-5 November in Abu Dhabi, offers an opportunity to examine how these developments will shape the energy business.
Energy. Intelligence. Impact.
#ADIPEC2026 #ADIPEC #Energy #AI
An email can tell your AI assistant what to recommend. Then a person signs it.
A better approval screen will not fix that. The signer checks the agent's work against its own notes, so I would give every approver one source it cannot touch.
https://t.co/VfoIbh1GPC
Co-Existence by Ethan Mollick is an excellent practical guide to effectively collaborating with AI without relinquishing our most valuable human cognitive capabilities, says Daniel Cossins https://t.co/qgLvnQVCbw
How do you get students interested in automation?
Start with a PLC-controlled block-stacking game. 🎮
That's exactly what students discovered at the MTI Expo while exploring automation and manufacturing careers.
Have an upcoming event? Let's connect!
https://t.co/ziuSoX4ZIL
Legged locomotion is easier to teach once students have tuned a gait.
Assembly takes about 60 minutes: the build and the first walk fit in one lab session. @PetoiCamp
The Bittle X V2 kit, arm included, for a lesson in grasping:
https://t.co/nSitNDYOsA
AI image
write churn down yourself. AtScale CoModel will write definitions soon, but it isn't out yet: write churn down yourself.
Full episode: https://t.co/qyjIa25x1A
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AI creates business value when strategy, workflows, and execution work together. Leaders need to connect these layers, redesign how work gets done, and build the skills that turn AI capabilities into measurable outcomes.
Source @McKinsey Link https://t.co/Cf8fXdK49O v @antgrasso
Insurance just gave old tech debt a new name: agentic debt. Agents piling up with no consistent rule for who decides, who checks, who's accountable. Same trade I've watched for twenty years, new label. Seeing agentic debt pile up in your stack yet?